CN115137369B

CN115137369B - Electronic equipment and system for carrying out atrial fibrillation early warning based on different atrial fibrillation stages

Info

Publication number: CN115137369B
Application number: CN202110341332.6A
Authority: CN
Inventors: 崔雨琦; 赵昶铭; 张稳; 孟璐斌; 伍冬睿; 李露平; 陈茂林
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2021-03-30
Filing date: 2021-03-30
Publication date: 2023-10-20
Anticipated expiration: 2041-03-30
Also published as: WO2022206615A1; CN115137369A

Abstract

The application provides electronic equipment and a system for carrying out atrial fibrillation early warning based on different atrial fibrillation stages, wherein the electronic equipment is used for executing the steps of: according to the heart rate variability characteristic value of the user, respectively determining a long Cheng Fang atrial fibrillation risk value and a short-range atrial fibrillation risk value, wherein the long Cheng Fang atrial fibrillation is the first atrial fibrillation in the next atrial fibrillation period after the non-atrial fibrillation period of the user, and the short-range atrial fibrillation comprises atrial fibrillation except the first atrial fibrillation in the atrial fibrillation period of the user; determining whether short-range early warning or long-range early warning is needed according to the long Cheng Fang fibrillation risk value and the short-range atrial fibrillation risk value, and determining an adopted early warning result, wherein the early warning result comprises a long-range early warning result and a short-range early warning result; and alarming the user according to the early warning result. According to the electronic equipment provided by the application, atrial fibrillation is divided into the atrial fibrillation attack period and the non-atrial fibrillation attack period, and in different phases, atrial fibrillation early warning is respectively carried out by using different modes, so that a user can intervene in an intervention treatment in advance, and the user experience is improved.

Description

Electronic equipment and system for carrying out atrial fibrillation early warning based on different atrial fibrillation stages

Technical Field

The application relates to the field of body health, in particular to electronic equipment and a system for early warning of atrial fibrillation based on different atrial fibrillation stages.

Background

Atrial fibrillation is simply referred to as atrial fibrillation, and is one of the most common cardiac arrhythmias in clinical medicine. When a patient generates atrial fibrillation, the atrium loses normal and effective contractile function and is in a rapidly disturbed fibrillation state. If not properly treated, atrial fibrillation can lead to serious complications, placing a heavy burden on the home and society, and has become an increasingly public health problem.

Research shows that the wrist wearable device based on photoplethysmography (PPG) can effectively perform atrial fibrillation detection and screening of atrial fibrillation patients on a user. However, the current technology can only detect atrial fibrillation based on the PPG signal measured by the wearable device, but cannot predict future atrial fibrillation attacks, so that the user and doctor cannot accurately grasp the disease progress and intervene in advance, and the user experience is low.

Disclosure of Invention

The application provides electronic equipment and a system for carrying out atrial fibrillation early warning based on different atrial fibrillation stages, which divide atrial fibrillation into an atrial fibrillation attack stage and a non-atrial fibrillation attack stage, and respectively carry out atrial fibrillation early warning in different modes by utilizing the acquired PPG signals in different stages, so that the atrial fibrillation can be detected and early warned in the atrial fibrillation attack stage and the non-atrial fibrillation attack stage, and a user can intervene in advance to intervene in treatment to avoid the atrial fibrillation attack, and the user experience is improved. And moreover, different early warning modes are respectively carried out according to the characteristics of different stages, so that a large amount of atrial fibrillation early warning information in a short time can be effectively reduced, the user experience is improved, and the user can obtain more important atrial fibrillation early warning information.

In a first aspect, an electronic device is provided, the electronic device comprising: a processor; a memory; and a computer program stored on the memory, which when executed by the processor, causes the electronic device to perform the steps of: acquiring a heart rate variability characteristic value of a user, wherein the heart rate variability characteristic value is determined according to PPG data of the user; according to the heart rate variability characteristic value, respectively determining a long Cheng Fang atrial fibrillation risk value and a short-range atrial fibrillation risk value corresponding to the user, wherein the long Cheng Fangchan is the first atrial fibrillation in the next atrial fibrillation attack period after the non-atrial fibrillation attack period of the user, and the short-range atrial fibrillation comprises atrial fibrillation except the atrial fibrillation which occurs for the first time in the atrial fibrillation attack period of the user; determining whether a long Cheng Yujing needs to be performed according to a long Cheng Fang fibrillation risk value, wherein the long-range early warning is performed in the non-atrial fibrillation attack period; determining whether short-range early warning is needed according to the short-range atrial fibrillation risk value, wherein the short-range early warning is performed in an atrial fibrillation attack period; and determining an adopted early warning result according to the acquisition time corresponding to the PPG data, wherein the early warning result comprises: the result of the long-range early warning and the result of the short-range early warning; and alarming the user according to the early warning result.

The electronic equipment provided by the first aspect is used for carrying out calculation on the long Cheng Fang atrial fibrillation risk value and the short atrial fibrillation risk value by distinguishing the long-range early warning and the short-range early warning and utilizing the acquired PPG signals for atrial fibrillation patients, and can effectively improve the accuracy of the long Cheng Fang atrial fibrillation and the short atrial fibrillation under the condition that the false alarm rate is lower than a certain level. Meanwhile, the method can adapt to the mode difference of different users before the occurrence of the illness, improves the early warning accuracy of a single user, divides the early warning state under the condition of not consuming a large amount of computing resources and storage resources, and improves the user experience.

By way of example, the electronic device may include: smart televisions, tablet computers, netbooks, PDAs, computer-handheld communication devices, handheld computing devices, smartphones, and the like.

In the present example, the time corresponding to PPG data is divided into atrial fibrillation occurrence and non-atrial fibrillation occurrence. During the atrial fibrillation episode, the atrial fibrillation patient is also a periodic multiple of atrial fibrillation episodes, rather than a sustained atrial fibrillation episode. During the non-atrial fibrillation occurrence period, the patient will not experience atrial fibrillation. I.e. the atrial fibrillation attacks and the non-atrial fibrillation attacks alternate in time

In this embodiment, the atrial fibrillation early warning performed in the atrial fibrillation attack period is a short-range early warning, and the short-range early warning can be understood as: measurements are taken during the atrial fibrillation episode and the time and probability of occurrence of the next atrial fibrillation during the atrial fibrillation episode are predicted. Atrial fibrillation occurring during the onset of atrial fibrillation is referred to as short-range atrial fibrillation. Short Cheng Fang fibrillation refers to atrial fibrillation other than atrial fibrillation occurring for the first time in the atrial fibrillation onset period, and short-range early warning predicts that: after the first atrial fibrillation is removed in the atrial fibrillation period, the occurrence time and probability of the next atrial fibrillation, and the like.

In the embodiment of the application, atrial fibrillation early warning performed in a non-atrial fibrillation attack period is taken as long-range early warning, and the long-range early warning can be understood as follows: measurements are made during a non-atrial fibrillation seizure period, and the time and probability of occurrence of a first atrial fibrillation in the next atrial fibrillation seizure period after the non-atrial fibrillation seizure period, etc. Length Cheng Fangchan refers to: the first atrial fibrillation occurs in the next atrial fibrillation episode after the non-atrial fibrillation episode. The long-range early warning prediction is as follows: time and probability of occurrence of first atrial fibrillation in the next atrial fibrillation episode after the non-atrial fibrillation episode.

Long Cheng Fang risk of fibrillation value: the method is characterized in that a long Cheng Fang fibrillation risk value obtained by means of long-range early warning is used, namely the probability of Cheng Fang fibrillation in a future period of time is predicted.

Short range atrial fibrillation risk value: the method refers to a short-range atrial fibrillation risk value obtained by using a short-range early warning mode, namely, the probability of occurrence of short-range atrial fibrillation in a future period of time is predicted.

In a possible implementation manner of the first aspect, determining whether the long Cheng Yujing is required according to the long Cheng Fang fibrillation risk value includes: and determining whether the user needs to perform the length Cheng Yujing according to the length Cheng Fang fibrillation risk value, the first length Cheng Fang fibrillation risk value corresponding to the first time length before the user, and the second length Cheng Fang fibrillation risk value corresponding to the multiple length Cheng Fangchan before the user.

In a possible implementation manner of the first aspect, when the long Cheng Fang fibrillation risk value meets at least one of the following conditions, it is determined that the long Cheng Yujing needs to be performed:

if the long Cheng Fang fibrillation risk value is greater than or equal to the first threshold value, determining that the long Cheng Yujing is required; the first long Cheng Fang risk value is greater than or equal to a second threshold value and the long Cheng Fang risk value is greater than or equal to the sum of the first threshold value and the first long Cheng Fang risk value; the long Cheng Fang risk value is greater than or equal to the average or maximum of the plurality of second long Cheng Fang risk values.

In a possible implementation manner of the first aspect, determining whether short-range early warning is needed according to the short-range atrial fibrillation risk value includes: and determining whether the long Cheng Yujing needs to be performed according to the short-range atrial fibrillation risk value, the first short-range atrial fibrillation risk value corresponding to the second time period before the user, and the second short-range atrial fibrillation risk value corresponding to the plurality of times of short Cheng Fang fibrillation before the user.

In a possible implementation manner of the first aspect, it is determined that the short-range early warning is required when the short-range atrial fibrillation risk value meets at least one of the following conditions:

if the short-range atrial fibrillation risk value is greater than or equal to a third threshold value, determining that short-range early warning is needed; the first short-range atrial fibrillation risk value is greater than or equal to a fourth threshold, and the short-range atrial fibrillation risk value is greater than or equal to a sum of the third threshold and the first short-range atrial fibrillation risk value; the short-range atrial fibrillation risk value is greater than or equal to the average or maximum of the plurality of second short-range atrial fibrillation risk values.

In a possible implementation manner of the first aspect, determining the long Cheng Fang fibrillation risk value corresponding to the user according to the heart rate variability feature value includes: calculating a long Cheng Fang fibrillation risk characteristic value of the user according to the current heart rate variability characteristic value and the historical heart rate variability characteristic value of the user; and determining the current long Cheng Fang fibrillation risk value of the user according to the long Cheng Fang fibrillation risk characteristic value.

In a possible implementation manner of the first aspect, determining, according to the heart rate variability feature value, a short-range atrial fibrillation risk value corresponding to the user includes: calculating a short-range atrial fibrillation risk characteristic value of the user according to the current heart rate variability characteristic value and the historical heart rate variability characteristic value of the user; and determining the current short-range atrial fibrillation risk value of the user according to the short-range atrial fibrillation risk characteristic value.

In a possible implementation manner of the first aspect, determining, according to a collection time corresponding to PPG data, an adopted early warning result includes: when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is greater than or equal to a preset fifth threshold, determining a result of adopting the long-range early warning, where the result of the long-range early warning includes: performing the long-range early warning or not performing the long Cheng Yujing; when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is smaller than a preset fifth threshold value, determining that the short-range early warning is adopted, wherein the short-range early warning comprises the following steps: the short-range pre-warning is performed or not performed.

In a possible implementation manner of the first aspect, determining, according to a collection time corresponding to PPG data, an adopted early warning result includes: when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is greater than or equal to a preset sixth threshold value and less than or equal to a preset seventh threshold value, determining the average value of a long Cheng Fang atrial fibrillation risk value and the atrial fibrillation risk value; when the average value is greater than or equal to a preset eighth threshold value, determining a result of adopting the short-range early warning, wherein the result of the short-range early warning comprises: carrying out the short-range early warning or not carrying out the short-range early warning; when the average value is smaller than a preset eighth threshold value, determining a result of adopting the long-range early warning, wherein the result of the long-range early warning comprises: and carrying out the long-range early warning or not carrying out the long-range early warning.

In a possible implementation manner of the first aspect, determining, according to a collection time corresponding to PPG data, an adopted early warning result includes: when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is greater than or equal to a preset fifth threshold value, and the first PPG data is acquired under the condition that the PPG data is not acquired in the time interval; and determining an adopted early warning result according to the first PPG data. By the method, the current early warning state can be accurately judged, and meanwhile, after multiple measurements, the time interval for reminding each user of active measurement can be adjusted in a personalized mode, so that the user experience is further improved.

In a possible implementation manner of the first aspect, the electronic device is in wireless communication with the wearable device of the user, and alarms the user according to the early warning result, including: and when the long-range early warning result is carried out, synchronizing the information of the long-range early warning to the APP of the electronic equipment and the wearable equipment, and prompting the user to intervene. For example, the electronic device and the wearable device can remind the user to intervene in time in a vibration, sound and light flashing mode.

In a possible implementation manner of the first aspect, the warning is given to the user according to the early warning result, including synchronizing the information of the short-range early warning to the APP of the electronic device when the short-range early warning result is given. In this implementation, if the long Cheng Fangchan warning is needed, the warning unit synchronizes the warning information to the electronic device and the wearable device, and reminds the user to intervene timely by means of vibration, sound, and light flashing. If short-range early warning is needed, the warning unit synchronizes warning information to the APP of the electronic equipment. The user can see the short-range pre-warning information when opening the APP of the electronic device. The long Cheng Fang fibrillation and the short-range atrial fibrillation adopt different-level early warning modes, so that a large amount of short-range Fang Chan early warning information in a short time can be effectively reduced, the user experience is improved, and the user is ensured not to miss more important long Cheng Fangchan early warning information.

In a possible implementation manner of the first aspect, the electronic device further includes a PPG data collector; the electronic device also performs the steps of: acquiring PPG data of the user and acquisition time corresponding to the PPG data by using a PPG data acquisition device; from the PPG data, a heart rate variability feature value of the user is determined. The PPG data collector periodically detects or collects original PPG signals of a user, each collection corresponds to one collection time, and multiple collection times correspond to multiple times. The wearable device may record the corresponding time at each acquisition. The time when the original PPG signal is acquired for the first time is recorded as the acquisition time corresponding to the PPG data.

In a possible implementation manner of the first aspect, the electronic device is in wireless communication with the wearable device of the user, and the electronic device further performs the following steps: and receiving PPG data sent by the wearable equipment, wherein the PPG data corresponds to the acquisition time. From the PPG data, a heart rate variability feature value of the user is determined.

In a possible implementation manner of the first aspect, the electronic device is in wireless communication with the wearable device of the user, and the electronic device further performs the following steps: and receiving the heart rate variability characteristic value of the user sent by the wearable device.

In a second aspect, there is provided a wearable device in wireless communication with an electronic device, the wearable device comprising: a processor; a memory; a PPG data collector; and a computer program stored on the memory, which when executed by the processor, causes the wearable device to perform the steps of: acquiring PPG data of the user and acquisition time corresponding to the PPG data by using a PPG data acquisition device; filtering the PPG data to determine the heart rate variability characteristic value of the user; and sending the heart rate variability characteristic value and the acquisition time corresponding to the PPG data to the electronic equipment.

Illustratively, the wearable device may further include: smart wristband, wearable wrist devices, smart glasses, AR/VR devices, etc.

In a possible implementation manner of the second aspect, the wearable device further performs the following steps: receiving information of long-range early warning sent by the electronic equipment, wherein the long-range early warning is performed in a non-atrial fibrillation attack period of the user; prompting the user to view the information of the long-range early warning. In this implementation, if long Cheng Fangchan early warning is required, the warning unit synchronizes the warning information to the smart phone and the wearable device, and reminds the user to intervene timely by means of vibration, sound, and light flashing.

In a third aspect, a communication apparatus is provided, the communication apparatus comprising means for performing the steps performed by the electronic device in the above first aspect or any of the possible implementation manners of the first aspect.

In a fourth aspect, a communication apparatus is provided, which comprises means for performing the steps performed by the wearable device in the second aspect above or in any of the possible implementations of the second aspect.

In a fifth aspect, there is provided an electronic device comprising the communication apparatus provided in the third aspect.

In a sixth aspect, a wearable device is provided, the wearable device comprising the communication apparatus provided in the fourth aspect.

In a seventh aspect, a computer program product is provided, the computer program product comprising a computer program which, when executed by a processor, causes an electronic device to perform the steps performed in the first aspect or any of the possible implementations of the first aspect, or causes a wearable device to perform the steps performed in the second aspect or any of the possible implementations of the second aspect.

In an eighth aspect, a computer readable storage medium is provided, in which a computer program is stored which, when executed, causes an electronic device to perform the steps of the first aspect or any of the possible implementations of the first aspect, or causes a wearable device to perform the steps of the second aspect or any of the possible implementations of the second aspect.

In a ninth aspect, there is provided a chip comprising: a processor for calling and running a computer program from a memory, such that a communication device on which the chip is installed performs the steps performed in the first aspect or any possible implementation of the first aspect, or performs the steps performed in the second aspect or any possible implementation of the second aspect.

According to the electronic equipment and the system for carrying out atrial fibrillation early warning based on different atrial fibrillation stages, for atrial fibrillation patients, by distinguishing the long-range early warning and the short-range early warning, the detected PPG signals are utilized to respectively calculate the long Cheng Fang atrial fibrillation risk value and the short-range atrial fibrillation risk value by adopting different models and individuation modules, and the accuracy of the long Cheng Fang atrial fibrillation and the short-range atrial fibrillation can be effectively improved under the condition that the false alarm rate is lower than a certain level. Meanwhile, the individuation module can adapt to the mode difference before the occurrence of the illness of different users, improves the early warning accuracy of a single user, and can divide the early warning state under the condition of not consuming a large amount of calculation resources and storage resources. In addition, the long Cheng Fang fibrillation and the short-range atrial fibrillation adopt different-level early warning modes, so that a large amount of short-range Fang Chan early warning information in a short time can be effectively reduced, and the user experience is improved.

Drawings

Fig. 1 is a schematic diagram of an application scenario applicable to an embodiment of the present application.

Fig. 2 is a schematic diagram of an atrial fibrillation seizure period and a non-atrial fibrillation seizure period on a time axis according to an embodiment of the present application.

Fig. 3 is a schematic diagram of a system architecture diagram of an electronic device according to an embodiment of the present application.

Fig. 4 is a schematic flow chart of an example of a method for early-warning atrial fibrillation based on different atrial fibrillation phases according to an embodiment of the present application.

Fig. 5 is a schematic diagram of an example of an early warning result according to the current time of collecting data and the time of the last occurrence of atrial fibrillation before the user.

Fig. 6 is a schematic diagram illustrating an alarm process performed by an alarm unit according to an embodiment of the present application.

Fig. 7 is a schematic diagram of a system architecture diagram of another electronic device according to an embodiment of the present application.

Fig. 8 is a schematic block diagram of an example of a communication device structure according to an embodiment of the present application.

Fig. 9 is a schematic block diagram of an example of a communication device structure according to an embodiment of the present application.

Detailed Description

The technical scheme of the application will be described below with reference to the accompanying drawings.

In the description of the embodiments of the present application, unless otherwise indicated, "/" means or, for example, a/B may represent a or B; "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, in the description of the embodiments of the present application, "plurality" means two or more than two.

The terms "first" and "second" are used below for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present embodiment, unless otherwise specified, the meaning of "plurality" is two or more.

Furthermore, various aspects or features of the application may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques. The term "article of manufacture" as used herein encompasses a computer program accessible from any computer-readable device, carrier, or media. For example, computer-readable media can include, but are not limited to, magnetic storage devices (e.g., hard disk, floppy disk, or magnetic strips, etc.), optical disks (e.g., compact disk, CD, digital versatile disk, digital versatile disc, DVD, etc.), smart cards, and flash memory devices (e.g., erasable programmable read-only memory, EPROM), cards, sticks, or key drives, etc. Additionally, various storage media described herein can represent one or more devices and/or other machine-readable media for storing information. The term "machine-readable medium" can include, without being limited to, wireless channels and various other media capable of storing, containing, and/or carrying instruction(s) and/or data.

Atrial fibrillation is simply referred to as atrial fibrillation, and is one of the most common cardiac arrhythmias in clinical medicine. When the patient generates atrial fibrillation, the atrium loses normal and effective contractive function and is in a rapid and disordered fibrillation state, the beating frequency of the atrium of the patient can reach 300-600 times/min, the ventricular beating is rapid and irregular, and the beating frequency of the ventricle of the patient can reach 100-200 times/min. If not properly treated, atrial fibrillation can lead to serious complications, placing a heavy burden on the home and society, and has become an increasingly public health problem. The study by s.go et al estimated that in 2050 there would be more than 550 tens of thousands of patients with atrial fibrillation worldwide.

Atrial fibrillation can be classified into paroxysmal atrial fibrillation, persistent atrial fibrillation and permanent atrial fibrillation. Paroxysmal atrial fibrillation is generally considered to mean spontaneous reversion to sinus rhythm within 7 days, and typically lasts less than 48 hours. Sustained atrial fibrillation refers to a sustained atrial fibrillation that lasts for more than 7 days, requiring a drug or shock to return to sinus rhythm. Permanent atrial fibrillation refers to the inability to return to a sinus rhythm or to return to an atrial fibrillation state within 24 hours after return to a sinus rhythm. The most common symptoms of atrial fibrillation include palpitation, chest distress, shortness of breath, dizziness, and hypodynamia, but there are also a large number of patients with attacks without obvious symptoms. Atrial fibrillation results in a 5-fold increase in risk of developing stroke, a 2-fold increase in mortality, and stroke associated with atrial fibrillation is more severe than stroke associated with non-atrial fibrillation. As the number of episodes of paroxysmal atrial fibrillation increases year by year, the time of onset increases and changes in the atrial structure may result in worsening conditions. Early intervention to avoid atrial fibrillation episodes is therefore important. However, since symptoms at the time of onset/before onset of atrial fibrillation are not obvious in many patients suffering from atrial fibrillation, patients and doctors cannot accurately grasp the progress of the condition and the intervention timing.

Research shows that the wrist wearable device based on the PPG can effectively perform atrial fibrillation detection and screening of atrial fibrillation patients.

Currently, in related art, a wearable device carried by a user may be utilized, and a PPG data collector is disposed on the wearable device. In particular. The wearable device acquires the motion state of a user, analyzes whether the motion state information is in a static state, and if the motion state information is in the static state, the PPG data acquisition device acquires heart rate information in unit time, wherein the heart rate information comprises a plurality of heart rate signals. The wearable device heart rate signal is processed and analyzed to generate a plurality of heart rate values, and whether the difference value between the plurality of heart rate values is larger than or equal to a preset heart rate threshold value is further judged. If the difference value among the plurality of heartbeat values is larger than or equal to a preset heartbeat threshold value, the user is judged to be in the atrial fibrillation state. However, this approach can only detect atrial fibrillation based on the heart rate signal and the motion state, and cannot predict the onset of atrial fibrillation. Secondly, the scheme can only judge atrial fibrillation according to the rest heart rhythm of the user, and the atrial fibrillation can be detected inaccurately.

In addition, the method for monitoring atrial fibrillation based on the PPG signal comprises the following specific processes: and a PPG data collector on the wearable equipment carried by the user collects PPG signals, evaluates the heart rate variability level according to the collected PPG signals, judges whether atrial fibrillation exists in the PPG heart beat signal segments according to the heart rate variability level, and records atrial fibrillation event data. Based on a plurality of atrial fibrillation event data, atrial fibrillation loads in different day and night periods are obtained through statistics, and in real-time measurement by using a PPG data collector, a user is prompted to perform Electrocardiogram (ECG) detection in one or more periods with the maximum atrial fibrillation loads. However, this technique can only perform the detection and statistical functions of atrial fibrillation based on PPG signals, and cannot predict the onset of atrial fibrillation.

In view of the above, the application provides an electronic device and a system for early warning of atrial fibrillation based on different atrial fibrillation phases, which divide atrial fibrillation into an atrial fibrillation attack period and a non-atrial fibrillation attack period, and respectively perform atrial fibrillation early warning in different modes by using the detected PPG signals in different phases, so that the detection and early warning of atrial fibrillation can be performed in both the atrial fibrillation attack period and the non-atrial fibrillation attack period, and a user can intervene in advance to intervene in treatment to avoid the occurrence of atrial fibrillation, and the user experience is improved. And moreover, different early warning modes are respectively carried out according to the characteristics of different stages, so that a large amount of atrial fibrillation early warning information in a short time can be effectively reduced, the user experience is improved, and the user can obtain more important atrial fibrillation early warning information.

The electronic device and the system for early warning of atrial fibrillation based on different atrial fibrillation phases are described below with reference to specific examples.

Fig. 1 is a schematic diagram of an application scenario suitable for an embodiment of the present application. As shown in fig. 1, the user uses a wearable device 112 and an electronic device 111, and in the example shown in fig. 1, the wearable device 112 used by the user is exemplified by a smart watch, and the electronic device 111 is exemplified by a smart phone. The wearable device 112 is provided with a PPG data collector, which can periodically collect PPG data of a user. Optionally, the electronic device 111 may also be provided with a PPG data collector, and may collect PPG data of the user periodically. The electronic device 111 has an atrial fibrillation detection function. Optionally, wearable device 112 may also have atrial fibrillation detection functionality. Communication between the wearable device 112 and the electronic device 111 may be performed through wireless communication technologies such as Bluetooth (BT) technology, wireless-fidelity (WiFi) technology, near field communication (near field communication, NFC) technology, and the like.

It should be understood that fig. 1 is merely exemplary, and should not be construed as limiting the application scenario of the embodiment of the present application, for example, in the scenario shown in fig. 1, further electronic devices, wearable devices, etc. may be included. The application is not limited herein.

In an embodiment of the present application, the electronic device may further include: smart televisions, tablet computers, netbooks, personal digital assistants (personal digital assistant, PDAs), computer handheld communication devices, handheld computing devices, and other portable electronic devices. And the wearable device may further include: smart bracelets, wearable wrist devices, smart glasses, augmented Reality (AR)/Virtual Reality (VR) devices, and the like.

It should be understood that in the embodiment of the present application, the wearable device may also be a generic name for intelligently designing daily wear by applying wearable technology, and developing wearable devices, such as glasses, gloves, watches, apparel, shoes, and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device comprises full functions, large size, and complete or partial functions which can be realized independent of a smart phone, such as a smart watch or a smart glasses, and is only focused on certain application functions, and needs to be matched with other devices such as the smart phone for use, such as various smart bracelets, smart jewelry and the like for physical sign monitoring.

The meaning of the relevant terms in the examples of the application will first be briefly described.

The PPG signal (or PPG data, which may also be referred to as PPG data) periodically acquired by a PPG data acquisition on the wearable device is discrete, and thus, the detected atrial fibrillation is also discrete for a wearable device with atrial fibrillation detection function. For example, if a patient with atrial fibrillation has an onset of atrial fibrillation for one hour, this period of time is referred to in embodiments of the present application as an atrial fibrillation onset period, during which the patient's heart rate signal is abnormal. The PPG signal periodically acquired by the wearable device, assuming: the PPG signal can be acquired every ten minutes when the device is worn, and then the device can be worn to detect 6 atrial fibrillation events. A period of time after one hour, when atrial fibrillation does not occur in an atrial fibrillation patient, is referred to as a non-atrial fibrillation episode. It will be appreciated that during the atrial fibrillation episode, the atrial fibrillation patient is also a periodic plurality of atrial fibrillation episodes, rather than a sustained atrial fibrillation episode. During non-atrial fibrillation episodes, the wearable device may also periodically collect a PPG signal, but the PPG signal shows that the patient is not exhibiting atrial fibrillation. During the non-atrial fibrillation episode, the patient's heart rate signal is normal. For example, fig. 2 is a schematic diagram of an atrial fibrillation episode and a non-atrial fibrillation episode on a time axis provided by an embodiment of the present application. As shown in fig. 2, after the non-atrial fibrillation episode, the patient enters the next atrial fibrillation episode, i.e., the atrial fibrillation episode and the non-atrial fibrillation episode alternate in time.

During the period of the atrial fibrillation onset period, the patient should be warned whether the atrial fibrillation still continues to be onset in a short time, and the warning of the subsequent atrial fibrillation can help the patient to terminate the atrial fibrillation onset in time. During the period of non-atrial fibrillation episode, whether the current cardiac rhythm of the patient is a sign of occurrence of atrial fibrillation should be determined, and accurately capturing the sign of atrial fibrillation can help the user avoid and prevent from entering the next atrial fibrillation episode.

In this embodiment, the atrial fibrillation pre-warning performed during the atrial fibrillation episode is denoted as short Cheng Yujing (or may also be referred to as short-range Fang Chan pre-warning), which may be understood as: measurements are taken during the atrial fibrillation episode and the time and probability of occurrence of the next atrial fibrillation during the atrial fibrillation episode are predicted. Atrial fibrillation occurring during the onset of atrial fibrillation is referred to as short-range atrial fibrillation. It should be understood that in embodiments of the present application, short-range atrial fibrillation refers to atrial fibrillation other than atrial fibrillation that occurs for the first time during an atrial fibrillation episode, i.e., short-range atrial fibrillation does not include atrial fibrillation that occurs for the first time during an atrial fibrillation episode. It can be appreciated that short-range pre-warning predictions are: after the first atrial fibrillation is removed in the atrial fibrillation period, the occurrence time and probability of the next atrial fibrillation, and the like.

In the present example, the atrial fibrillation pre-warning performed during the non-atrial fibrillation period is a long Cheng Yujing (or may also be referred to as a long Cheng Fangchan pre-warning), and the long-range pre-warning may be understood as: measurements are made during a non-atrial fibrillation seizure period, and the time and probability of occurrence of a first atrial fibrillation in the next atrial fibrillation seizure period after the non-atrial fibrillation seizure period, etc. Length Cheng Fangchan refers to: the first atrial fibrillation occurs in the next atrial fibrillation episode after the non-atrial fibrillation episode. It can be understood that the long-range early warning predicts that: time and probability of occurrence of first atrial fibrillation in the next atrial fibrillation episode after the non-atrial fibrillation episode.

Analysis results show that compared with short-range early warning, the symptoms of atrial fibrillation attacks during long-range early warning are very weak, and a more sensitive early warning model is required to capture rhythm abnormalities so as to accurately perform long-range early warning. In short-range early warning, the detected arrhythmia is larger because the heart rhythm of the user is not restored to sinus rhythm, so the short-range early warning needs lower sensitivity. In addition, as the wearable equipment with atrial fibrillation detection function may have the conditions of omission, motion interference, poor contact and the like, in the actual use process, the loss of PPG data and corresponding detection results in a certain period of time often exists, namely the phenomenon of PPG data loss occurs. Therefore, it is particularly important to determine whether the current warning is a long-range warning or a short-range warning.

Moreover, due to the different heart health degrees among different users, the feature distribution extracted by the feature extraction algorithm may be different, and a machine learning model trained based on one user may generate serious deviation on another user. For example, arrhythmias of the same intensity may induce atrial fibrillation in some users, but not others. Thus, in atrial fibrillation pre-warning, the differences between different users need to be taken into account.

Meanwhile, short-range atrial fibrillation can be frequently started in the atrial fibrillation period, so that the system is easy to frequently early warn in a short time, and the user experience is reduced.

The following describes, with reference to fig. 3, a system architecture diagram of an electronic device and a wearable device provided by an embodiment of the present application, where, as shown in fig. 3, fig. 3 shows a system architecture diagram of an example electronic device provided by an embodiment of the present application, where the system architecture includes: the system comprises a signal acquisition unit, a preprocessing unit, a long-range risk calculation unit, a short-range risk calculation unit, a long-range individualization unit, a short-range individualization unit, an early warning state judgment unit and an alarm unit.

The signal acquisition unit may include a PPG data collector for acquiring an original PPG signal, and after the signal acquisition unit acquires the original PPG signal, the PPG signal is transmitted to the preprocessing unit, and the preprocessing unit performs operations such as filtering and extracts a heart rate variability characteristic value. The preprocessing unit respectively inputs the heart rate variability characteristic values into the long-range risk calculation unit and the short-range risk calculation unit, the long Cheng Fang fibrillation risk value is calculated in the long-range risk calculation unit, and the short-range atrial fibrillation risk value is calculated in the short-range risk calculation unit. Then, the long-range risk calculating unit inputs the long Cheng Fang fibrillation risk value to the long-range personalizing unit, and the short-range risk calculating unit inputs the short-range atrial fibrillation risk value to the short-range personalizing unit. The long range personalization unit determines by calculation whether to perform long Cheng Yujing based on the long Cheng Fang risk value of fibrillation. And the short-range individuation unit determines whether short-range early warning is carried out or not through calculation according to the short-range atrial fibrillation risk value. The long-range individuation unit inputs the result of whether the long-range early warning is performed to the early warning state judging unit, and the short-range individuation unit inputs the result of whether the short-range early warning is performed to the early warning state judging unit. The early warning state judging unit determines which early warning state (long-range early warning or short-range early warning) is currently in through calculation, and selects a corresponding early warning result to be transmitted into the warning unit. If the user needs to be given with atrial fibrillation warning, the warning unit selects a corresponding warning level to push the warning to the user according to the current warning state. Wherein both the long-range personalization unit and the short-range personalization unit store a large amount of historical data of the user, e.g., the long-range personalization unit stores a risk value of long Cheng Fang fibrillation for a period of time prior to the current detection time, and/or stores N risk values of long Cheng Fang fibrillation prior to the current detection time.

Optionally, in the system architecture shown in fig. 3, one or more of the signal acquisition unit, the preprocessing unit, or the alarm unit may not be included. Alternatively, one or more of the acquisition unit, the preprocessing unit, or the alarm unit may be located on the wearable device.

Alternatively, in the system architecture shown in fig. 3, the long-range personalization unit and the short-range personalization unit may not be included.

It should be understood that, for the wearable device, its system architecture is similar to that shown in fig. 3, and for brevity, a detailed description is omitted here.

It will be appreciated that the architecture illustrated in fig. 3 does not constitute a particular limitation on the system architecture of the electronic device. In other embodiments of the application, the system architecture of the electronic device may include more or fewer units or modules than shown, or combine certain units, or split certain units, or different component units. The illustrated elements may be implemented in hardware, software, or a combination of software and hardware. The embodiments of the application are not limited in this regard.

Fig. 4 is a schematic flow chart of an example of a method 200 for early warning of atrial fibrillation based on different atrial fibrillation phases in the scenario shown in fig. 1. The method can be executed by the electronic device and the wearable device provided by the embodiment of the application. A smart phone used by an electronic device as a user will be described below as an example.

As shown in fig. 4, the method 200 includes: s201 to S216.

S201, a signal acquisition unit (PPG data collector) on the wearable device periodically acquires an original PPG signal of the user and a corresponding time.

In the embodiment of the application, the PPG data collector periodically detects or collects the original PPG signal of the user, each collection corresponds to one collection time, and a plurality of collection times correspond to a plurality of times. The wearable device may record the corresponding time at each acquisition. Illustratively, the time at which the original PPG signal is first acquired is denoted T.

S202, the signal acquisition unit sends the original PPG signal and the corresponding time to a preprocessing unit on the wearable device.

S203, a preprocessing unit on the wearable device performs preprocessing such as filtering on the acquired multiple original PPG signals, extracts heart rate variability characteristic values, and uses the heart rate variability characteristic valuesX _T And (3) representing.

S204, the wearable device uses the heart rate variability characteristic value X _T And the time T is sent to a long-range risk calculation unit on the smart phone.

S205, the wearable device uses the heart rate variability characteristic value X _T And the time T is sent to a short-range risk calculation unit on the smart phone.

S206, a long-range risk calculation unit on the smart phone calculates a characteristic value X according to the current heart rate variability _T And the historical heart rate variability feature value of the user (with X _T1 Represented), a long Cheng Fang fibrillation risk feature value (represented by L) of the user is calculated _T Representation). Wherein T1 represents the time of PPG signal acquisition corresponding to the historical heart rate variability feature value of the user, and T1 is earlier than T in time. And, machine learning model in the long-range risk calculation unit is based on L _T Determining a user's current long Cheng Fang fibrillation risk value (with Y _T Representation).

S207, a long-range risk calculation unit on the smart phone calculates a long Cheng Fang fibrillation risk value Y _T And time T is sent to the long-range personalization unit.

S208, the long-range individuation unit performs a vibration risk value Y according to the current long Cheng Fang _T In combination with N before this (before time T) the user ₁ Within an hour, a long Cheng Fang fibrillation risk value (Y ₁ Representation), or the history N of the user before this (before time T) ₂ The corresponding multiple long Cheng Fang risk values before the next long Cheng Fang (Y ₂ Indicated), determines whether a long Cheng Yujing should be currently performed.

Specifically, in S208, if the current long Cheng Fang fibrillation risk value Y _T One or more of the following three conditions are met, it is determined that length Cheng Yujing should be currently performed.

Condition 1: y is Y _T ≥λ ₁ Wherein lambda is ₁ Is a preset threshold.

Condition 2: y is Y ₁ ≥λ ₁ And Y is _T ≥Y ₁ +λ ₂ ，λ ₂ Is a preset threshold.

Condition 3: y is Y _T More than or equal to P, P is moreRisk value Y of long Cheng Fang fibrillation ₂ Or average value of (a) in the above range.

S209, the long-range individuation unit sends information about whether long-range early warning should be performed currently to the early warning state judging unit.

S210, a short range risk calculation unit on the smart phone calculates a characteristic value X according to the current heart rate variability _T And the historical heart rate variability characteristic value X of the user _T1 The short-range atrial fibrillation risk characteristic value of the user is calculated (using S _T Representation), and the machine learning model in the short-range risk calculation unit is according to S _T Determining a current short-range atrial fibrillation risk value (R _T Representation).

S211, a short-range risk calculation unit on the smart phone calculates a short-range atrial fibrillation risk value R _T To a short-range personalisation unit.

S212, the short-range personalized unit is used for judging whether the current short-range atrial fibrillation risk value R is the same as the current short-range atrial fibrillation risk value R _T In combination with N before this (before time T) the user ₃ Short range atrial fibrillation risk value (R ₁ Representation), or the history N of the user before this (before time T) ₄ A plurality of short-range atrial fibrillation risk values (R is used) corresponding to the next-longest Cheng Fang fibrillation ₂ Representation), determines whether short-range pre-warning should be currently performed.

Specifically, in S212, if the current short-range atrial fibrillation risk value R _T One or more of the following three conditions are met, it is determined that short-range warning should be currently performed.

Condition 1: r is R _T ≥θ ₁ Wherein θ ₁ Is a preset threshold.

Condition 2: r is R ₁ ≥θ ₁ And R is _T ≥R ₁ +θ ₂ ，θ ₂ Is a preset threshold.

Condition 3: r is R _T Q is more than or equal to Q, Q is a plurality of short-range atrial fibrillation risk values R ₂ Or average value of (a) in the above range.

S213, the short-range individualization unit sends the information of whether the short-range early warning should be performed or not to the early warning state judging unit.

S214, early warning state judgmentThe breaking unit is based on the current time stamp T and the time (in T _A Representation), and judging whether the long-range early warning result or the short-range early warning result is adopted currently. The long-range early warning result comprises: length Cheng Yujing should be performed currently or length Cheng Yujing should not be performed. The short-range early warning result comprises: short-range pre-warning should or should not be performed currently.

Specifically, in S214, if the current timestamp T is distant from the time T _A And if the time interval is larger than or equal to a preset threshold value (represented by D, wherein the unit of D can be hours), determining that a long-range early warning result is adopted currently, otherwise, adopting a short-range early warning result.

Alternatively, in S214, as another possible implementation manner, a fuzzy judgment manner may be adopted, for example, as shown in fig. 5, that is, the current timestamp T is distant from the time T _A The time interval therebetween is greater than or equal to a preset threshold (denoted by B, which may be in hours) B, and the time interval is less than or equal to a preset threshold (denoted by E, which may be in hours). Then calculate the current long Cheng Fang risk value Y _T And a current short-range atrial fibrillation risk value R _T Average value of (2). If the average value is psi, if psi is larger than a preset threshold value, determining that the current rhythm of the user is abnormal, and adopting a short-range early warning result, otherwise adopting a long-range early warning result.

S215, the early warning state judging unit sends the determined early warning result to the warning unit.

S216, the alarm unit alarms according to the early warning result.

For example, fig. 6 is a schematic diagram illustrating an alarm process performed by an alarm unit according to an embodiment of the present application. If the long Cheng Fangchan early warning is needed, the warning unit synchronizes the warning information to the smart phone and the wearable device, and reminds the user to intervene timely in a vibration, sound and light flashing mode. If short-range early warning is needed, the warning unit synchronizes warning information to the APP of the smart phone. When the APP of the smart phone is opened, the user can see the short-range early warning information. The long Cheng Fang fibrillation and the short-range atrial fibrillation adopt different-level early warning modes, so that a large amount of short-range Fang Chan early warning information in a short time can be effectively reduced, the user experience is improved, and the user is ensured not to miss more important long Cheng Fangchan early warning information.

Optionally, the early warning state determining unit may further determine a long Cheng Fang fibrillation risk value Y _T And a current short-range atrial fibrillation risk value R _T And sending the information to an alarm unit. When the early warning result is that early warning is not needed, the warning unit can synchronize the current atrial fibrillation type (long Cheng Fang fibrillation or short Fang Chan) to the APP of the smart phone and synchronize the long Cheng Fang fibrillation risk value Y _T Or short-range atrial fibrillation risk value R _T On the APP of synchronous smart mobile phone, the user can see this early warning information when opening the APP of smart mobile phone.

According to the method for carrying out atrial fibrillation early warning based on different atrial fibrillation stages, for atrial fibrillation patients, by distinguishing the long-range early warning and the short-range early warning, the detected PPG signals are utilized to respectively calculate the long Cheng Fang atrial fibrillation risk value and the short-range atrial fibrillation risk value by adopting different models and individuation modules, and the accuracy of the long Cheng Fang atrial fibrillation and the short-range atrial fibrillation can be effectively improved under the condition that the false alarm rate is lower than a certain level. Meanwhile, the individuation module can adapt to the mode difference before the occurrence of the illness of different users, improves the early warning accuracy of a single user, and can divide the early warning state under the condition of not consuming a large amount of calculation resources and storage resources. In addition, the long Cheng Fang fibrillation and the short-range atrial fibrillation adopt different-level early warning modes, so that a large amount of short-range Fang Chan early warning information in a short time can be effectively reduced, and the user experience is improved.

Alternatively, as another possible implementation, in S214, if the current timestamp T is distant from the time T _A The time interval between the two is greater than or equal to a preset threshold (for example, the threshold D), and in this time interval, the PPG data collector does not collect the PPG signal or the number of collected PPG signals is small, in this case, the smart phone may prompt the user to perform one or more PPG data collection. For example, a smart phone may take initiative to takeAnd sending the indication information of the PPG signal collection to the wearable equipment, and actively collecting the PPG signal by the wearable equipment according to the indication information. Or if the intelligent mobile phone is provided with the PPG data collector, the PPG data collector on the intelligent mobile phone actively collects PPG signals according to the indication information. In S214, the early warning state determining unit may determine, according to the collected PPG signal, whether the long-range early warning result or the short-range early warning result should be adopted currently. For example, if the result of the active measurement shows that the user has no atrial fibrillation episodes and the risk of short-range atrial fibrillation is small, the user is considered to have finished the atrial fibrillation episodes currently, and the long-range early warning result is determined to be adopted. If the result of the active measurement shows that the user is still in the atrial fibrillation seizure state or the risk of short-range Fang Chan is high, the user is considered to not completely recover the sinus rhythm, and the long-range early warning result is determined to be adopted. And after a period of time after the active measurement, the smart phone or the wearable device can remind the user of the active measurement again, the early warning state judging unit records the time required by the user to recover the sinus rhythm, and then the time for recovering the sinus rhythm for a plurality of times is counted, and the average value or other statistic values are taken to dynamically adjust the value of D. Through the method, the current early warning state can be accurately judged, and meanwhile, after multiple measurements, the time interval D for reminding each user of active measurement can be adjusted in a personalized mode, so that the user experience is further improved.

Alternatively, in the embodiment of the present application, as another possible implementation manner, since the long-range personalization unit and the short-range personalization unit need to store a large amount of history information, when limited by the storage space and the memory space of the smart phone, the long-range personalization unit and the short-range personalization unit may be omitted. I.e. as shown in fig. 7. Fig. 7 is a system architecture diagram of another electronic device according to the present application, where the system architecture includes: the system comprises a signal acquisition unit, a preprocessing unit, a long-range risk calculation unit, a short-range risk calculation unit, an early warning state judgment unit and an alarm unit.

In the architecture shown in fig. 7, the process of the method for early warning atrial fibrillation based on different atrial fibrillation phases provided by the present application is similar to that of method 200, but does not include S207, S208, S209, S211, S212, S213.

That is, in S206, the long-range risk calculation unit calculates the risk value Y according to the long Cheng Fang fibrillation risk _T It is determined whether a long Cheng Yujing should be performed at the present time. For example, if the long Cheng Fang fibrillation risk value Y _T A value greater than or equal to lambda ₁ It is determined that length Cheng Yujing should be performed currently, otherwise it is determined that length Cheng Yujing is not currently required. And sends the information of whether the long-range early warning should be performed or not to the early warning state judging unit.

In S210, the short-range risk calculation unit calculates a short-range atrial fibrillation risk value R according to the current short-range atrial fibrillation risk value _T It is determined whether short-range warning should be currently performed. For example, if the short-range atrial fibrillation risk value R _T The value of (2) is greater than or equal to θ ₁ Determining that short-range early warning should be performed currently, otherwise, determining that short-range early warning is not needed currently. And sends the information of whether short-range early warning should be performed or not to the early warning state judging unit.

Therefore, the intelligent hand does not need to store a large amount of history information, the early warning rule can be adjusted in a personalized mode, and the storage space of the intelligent mobile phone is saved.

It should be appreciated that each of the steps in the method 200 described above may be performed by the smart phone alone or by the wearable device alone. The embodiments of the application are not limited in this regard.

It should be understood that the above description is only intended to assist those skilled in the art in better understanding the embodiments of the present application, and is not intended to limit the scope of the embodiments of the present application. It will be apparent to those skilled in the art from the foregoing examples that various equivalent modifications or variations are possible, for example, some steps of the method 200 described above may not be necessary, some steps may be newly added, etc. Or a combination of any two or more of the above. Such modifications, variations, or combinations are also within the scope of embodiments of the present application.

It should also be understood that the manner, the case, the category, and the division of the embodiments in the embodiments of the present application are merely for convenience of description, should not be construed as a particular limitation, and the features in the various manners, the categories, the cases, and the embodiments may be combined without contradiction.

It should also be understood that the various numbers referred to in the embodiments of the present application are merely for descriptive convenience and are not intended to limit the scope of the embodiments of the present application. The sequence numbers of the above-mentioned processes do not mean the sequence of execution sequence, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application.

It should also be understood that the foregoing description of embodiments of the present application focuses on highlighting differences between the various embodiments and that the same or similar elements not mentioned may be referred to each other and are not repeated herein for brevity.

It should also be understood that, in the embodiments of the present application, the "predefined" may be implemented by pre-storing corresponding codes, tables, or other manners that may be used to indicate relevant information in the device, and the present application is not limited to the specific implementation manner thereof.

The foregoing describes embodiments of a method for early-warning atrial fibrillation based on different atrial fibrillation phases according to the embodiments of the present application with reference to fig. 1 to 7, and the following describes related devices and systems provided by the embodiments of the present application.

According to the method, the functional modules of the electronic device and the wearable device can be divided. For example, each function may be divided into each functional module, or two or more functions may be integrated into one processing module. The integrated modules described above may be implemented in hardware. It should be noted that, in this embodiment, the division of the modules is schematic, only one logic function is divided, and another division manner may be implemented in actual implementation.

It should be noted that, the relevant content of each step related to the above method embodiment may be cited to the functional description of the corresponding functional module, which is not described herein.

The electronic device and the wearable device provided by the embodiment of the application are used for executing the method 200 for early warning of atrial fibrillation based on different atrial fibrillation phases, so that the same effect as the implementation method can be achieved. In the case of an integrated unit, the electronic device and the wearable device may include a processing module, a storage module, and a communication module. The processing module can be used for controlling and managing actions of the electronic equipment and the wearable equipment. For example, it may be used to support the electronic device and the wearable device to perform the steps performed by the processing unit. Memory modules may be used to support storage of program code, data, and the like. And the communication module can be used for supporting the communication between the electronic device and the wearable device and other devices.

Wherein the processing module may be a processor or a controller. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. A processor may also be a combination that performs computing functions, e.g., including one or more microprocessors, digital signal processing (digital signal processing, DSP) and microprocessor combinations, and the like. The memory module may be a memory. The communication module can be a radio frequency circuit, a Bluetooth chip, a Wi-Fi chip and other equipment which interact with other electronic equipment.

Fig. 8 is a schematic hardware structure of an example of a communication apparatus 300 according to the present application, where the communication apparatus 300 may be the electronic device or the wearable device. As shown in fig. 8, the communication device 300 may include a processor 310, an external memory interface 320, an internal memory 321, a universal serial bus (universal serial bus, USB) interface 330, a charge management module 340, a power management module 341, a battery 342, an antenna 1, an antenna 2, a wireless communication module 350, a PPG data collector 360, and the like.

It should be understood that the configuration illustrated in the embodiments of the present application does not constitute a specific limitation on the communication apparatus 300. In other embodiments of the present application, communication device 300 may include more or less components than illustrated, or certain components may be combined, or certain components may be split, or different arrangements of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Processor 310 may include one or more processing units. For example: the processor 310 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate components or may be integrated in one or more processors. In some embodiments, the communication device 300 may also include one or more processors 310. The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution.

In some embodiments, processor 310 may include one or more interfaces. The interfaces may include inter-integrated circuit (inter-integrated circuit, I2C) interfaces, inter-integrated circuit audio (integrated circuit sound, I2S) interfaces, pulse code modulation (pulse code modulation, PCM) interfaces, universal asynchronous receiver transmitter (universal asynchronous receiver/transmitter, UART) interfaces, mobile industry processor interfaces (mobile industry processor interface, MIPI), general-purpose input/output (GPIO) interfaces, SIM card interfaces, and/or USB interfaces, among others. The USB interface 330 is an interface conforming to the USB standard, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, or the like. The USB interface 2530 may be used to connect a charger to charge the communication device 300, or may be used to transfer data between the communication device 300 and a peripheral device.

It should be understood that the interfacing relationship between the modules illustrated in the embodiments of the present application is only illustrative, and is not meant to limit the configuration of the communication device 300. In other embodiments of the present application, the communication device 300 may also use different interfacing manners, or a combination of interfacing manners, as in the above embodiments.

The wireless communication function of the communication apparatus 300 can be realized by the antenna 1, the antenna 2, the wireless communication module 350, and the like.

The wireless communication module 350 may provide a solution for wireless communication including Wi-Fi (including Wi-Fi aware and Wi-Fi AP), bluetooth (BT), wireless data transfer module (e.g., 433mhz,868mhz,315 mhz), etc. as applied on the communication device 300. The wireless communication module 350 may be one or more devices that integrate at least one communication processing module. The wireless communication module 350 receives electromagnetic waves via the antenna 1 or the antenna 2 (or the antennas 1 and 2), filters and frequency-modulates the electromagnetic wave signals, and transmits the processed signals to the processor 310. The wireless communication module 350 may also receive a signal to be transmitted from the processor 310, frequency modulate it, amplify it, and convert it to electromagnetic waves for radiation via the antenna 1 or the antenna 2.

The external memory interface 320 may be used to connect an external memory card, such as a Micro SD card, to enable expansion of the memory capabilities of the communication device 300. The external memory card communicates with the processor 310 through an external memory interface 320 to implement data storage functions. For example, files such as music, video, etc. are stored in an external memory card.

The internal memory 321 may be used to store one or more computer programs, including instructions. The processor 310 may cause the communication device 300 to perform the method of atrial fibrillation early warning based on different atrial fibrillation phases, as well as various applications, data processing, etc., provided in some embodiments of the present application by executing the above-described instructions stored in the internal memory 321. The internal memory 321 may include a code storage area and a data storage area. Wherein the code storage area may store an operating system. The data storage area may store data created during use of the communication device 300, etc. In addition, the internal memory 321 may include high-speed random access memory, and may also include non-volatile memory, such as one or more disk storage units, flash memory units, universal flash memory (universal flash storage, UFS), and the like. In some embodiments, processor 310 may cause communication device 300 to perform the methods of atrial fibrillation early warning based on different atrial fibrillation phases provided in embodiments of the present application, as well as other applications and data processing, by executing instructions stored in internal memory 321, and/or instructions stored in memory provided in processor 310.

The PPG data collector 360 is used to periodically collect PPG data of a patient or user.

The communication apparatus 300 includes, for example: smart televisions, large screen devices, smart air conditioners, cell phones, tablet computers, notebooks, large screen televisions, smart home items, PDAs, POS, car computers, cameras, cordless phones, PDAs, notebook computers, printers, smart watches, smart bracelets, wearable wrist devices, smart glasses, augmented reality (augmented reality, AR)/Virtual Reality (VR) devices, and the like, to which embodiments of the present application are not limited.

It should be appreciated that, for the specific process of the communication apparatus 300 performing the above corresponding steps, reference is made to the description of the electronic device or the wearable device performing the steps in the embodiment of fig. 4, and for brevity, the description is omitted here.

Fig. 9 shows a schematic block diagram of another example communication apparatus 400 provided by an embodiment of the present application, which communication apparatus 400 may correspond to the electronic device or the wearable device described in the various embodiments of the method 200 described above. Or may be a chip or a component applied to an electronic device or a wearable device, and the modules or units of the communication apparatus 400 are respectively configured to perform the actions or the processes performed by the electronic device or the wearable device described in the embodiments of the method 200, as shown in fig. 9, the communication apparatus 400 may include: a processing unit 410 and a communication unit 420. Optionally, the communication device 400 may further comprise a storage unit 430.

It should be understood that, for the specific process of each unit in the communication apparatus 400 performing the above corresponding steps, reference is made to the related description of the steps performed by the electronic device or the wearable device described in connection with fig. 4, and for brevity, no further description is given here.

Alternatively, the communication unit 420 may include a receiving unit (module) and a transmitting unit (module) for performing the steps of receiving information and transmitting information by the electronic device in the foregoing respective method embodiments. The storage unit 430 is used to store instructions executed by the processing unit 410 and the communication unit 420. The processing unit 410, the communication unit 420 and the storage unit 430 are in communication connection, the storage unit 430 stores instructions, the processing unit 410 is used for executing the instructions stored by the storage unit, and the communication unit 420 is used for executing specific signal transceiving under the driving of the processing unit 410.

It should be appreciated that the communication unit 420 may be a transceiver, an input/output interface or interface circuit, etc., such as may be implemented by the wireless communication module 350 in the embodiment shown in fig. 8. The storage unit may be a memory, for example, which may be implemented by the external memory interface 320 and the internal memory 321 in the embodiment shown in fig. 8. The processing unit 410 may be implemented by the processor 310 in the embodiment shown in fig. 8, or may be implemented by the processor 310, as well as the external memory interface 320, the internal memory 321.

It should also be appreciated that the communication apparatus 400 shown in fig. 9 may be an electronic device or a wearable device, or the electronic device or the wearable device may include the communication apparatus 400 shown in fig. 9.

It should also be understood that the division of the units in the above apparatus is merely a division of a logic function, and may be fully or partially integrated into a physical entity or may be physically separated. And the units in the device can be all realized in the form of software calls through the processing element; or can be realized in hardware; it is also possible that part of the units are implemented in the form of software, which is called by the processing element, and part of the units are implemented in the form of hardware. For example, each unit may be a processing element that is set up separately, may be implemented as integrated in a certain chip of the apparatus, or may be stored in a memory in the form of a program, and the functions of the unit may be called and executed by a certain processing element of the apparatus. The processing element, which may also be referred to herein as a processor, may be an integrated circuit with signal processing capabilities. In implementation, each step of the above method or each unit above may be implemented by an integrated logic circuit of hardware in a processor element or in the form of software called by a processing element. In one example, the unit in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, for example: one or more application specific integrated circuits (application specific integrated circuit, ASIC), or one or more digital signal processors (digital signal processor, DSP), or one or more field programmable gate arrays (field programmable gate array, FPGA), or a combination of at least two of these integrated circuit forms. For another example, when the units in the apparatus may be implemented in the form of a scheduler of processing elements, the processing elements may be general-purpose processors, such as a central processing unit (central processing unit, CPU) or other processor that may invoke the program. For another example, the units may be integrated together and implemented in the form of a system-on-a-chip (SOC).

The embodiment of the application also provides a system for carrying out atrial fibrillation early warning based on different atrial fibrillation stages, and the system comprises any one of the electronic equipment and any one of the wearable equipment provided by the embodiment of the application.

The embodiment of the application also provides a computer readable storage medium for storing computer program codes, and the computer program comprises instructions for executing any method for early warning atrial fibrillation based on different atrial fibrillation phases. The readable medium may be read-only memory (ROM) or random access memory (random access memory, RAM), to which embodiments of the application are not limited.

The present application also provides a computer program product comprising instructions which, when executed, cause the electronic device to perform operations corresponding to the above-described methods.

The embodiment of the application also provides a chip positioned in the communication device, which comprises: a processing unit, which may be, for example, a processor, and a communication unit, which may be, for example, an input/output interface, pins or circuitry, etc. The processing unit may execute computer instructions to cause the communication device to execute any of the methods for atrial fibrillation early warning based on different atrial fibrillation phases provided in the embodiments of the present application.

Optionally, the computer instructions are stored in a storage unit.

Alternatively, the storage unit is a storage unit in the chip, such as a register, a cache, etc., and the storage unit may also be a storage unit in the terminal located outside the chip, such as a ROM or other type of static storage device that can store static information and instructions, a random RAM, etc. The processor mentioned in any of the above may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the above-mentioned feedback information transmission method. The processing unit and the storage unit may be decoupled and respectively disposed on different physical devices, and the respective functions of the processing unit and the storage unit are implemented by wired or wireless connection, so as to support the system chip to implement the various functions in the foregoing embodiments. Alternatively, the processing unit and the memory may be coupled to the same device.

The communication device, the computer readable storage medium, the computer program product or the chip provided in this embodiment are used to execute the corresponding method provided above, so that the beneficial effects thereof can be referred to the beneficial effects in the corresponding method provided above, and will not be described herein.

It will be appreciated that the memory in embodiments of the application may be volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The nonvolatile memory may be a ROM, a Programmable ROM (PROM), an erasable programmable EPROM (EPROM), an electrically erasable programmable EPROM (EEPROM), or a flash memory, among others. The volatile memory may be RAM, which acts as external cache. There are many different types of RAM, such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), and direct memory bus RAM (DR RAM).

Various objects such as various messages/information/devices/network elements/systems/devices/actions/operations/processes/concepts may be named in the present application, and it should be understood that these specific names do not constitute limitations on related objects, and that the named names may be changed according to the scenario, context, or usage habit, etc., and understanding of technical meaning of technical terms in the present application should be mainly determined from functions and technical effects that are embodied/performed in the technical solution.

In various embodiments of the application, where no special description or logic conflict exists, terms and/or descriptions between the various embodiments are consistent and may reference each other, and features of the various embodiments may be combined to form new embodiments based on their inherent logic.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The methods in embodiments of the present application may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are performed in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer program or instructions may be stored in or transmitted across a computer-readable storage medium. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server that integrates one or more available media.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a readable storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned readable storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. An electronic device for atrial fibrillation early warning based on different atrial fibrillation phases, the electronic device comprising:

a processor;

a memory;

and a computer program stored on the memory, which when executed by the processor, causes the electronic device to perform the steps of:

acquiring a heart rate variability characteristic value of a user, wherein the heart rate variability characteristic value is determined according to PPG data of the user;

according to the heart rate variability characteristic value, respectively determining a long Cheng Fang atrial fibrillation risk value and a short-range atrial fibrillation risk value corresponding to the user, wherein the long Cheng Fang atrial fibrillation is first atrial fibrillation in a next atrial fibrillation period after a non-atrial fibrillation period of the user, and the short-range atrial fibrillation comprises atrial fibrillation except the first atrial fibrillation in the atrial fibrillation period of the user;

Determining whether long Cheng Yujing is needed according to the long Cheng Fang fibrillation risk value, wherein the long-range early warning is performed in the non-atrial fibrillation attack period;

determining whether short-range early warning is needed according to the short-range atrial fibrillation risk value, wherein the short-range early warning is performed in the atrial fibrillation attack period;

and determining an adopted early warning result according to the acquisition time corresponding to the PPG data, wherein the early warning result comprises: the result of the long-range early warning and the result of the short-range early warning;

and alarming the user according to the early warning result.

2. The electronic device of claim 1, wherein the determining whether a long Cheng Yujing is needed based on the long Cheng Fang risk value comprises:

and determining whether a long Cheng Yujing is needed according to the long Cheng Fang fibrillation risk value, a first long Cheng Fang fibrillation risk value corresponding to a first time period before the user, and a second long Cheng Fang fibrillation risk value corresponding to a plurality of times of long Cheng Fangchan before the user.

3. The electronic device of claim 2, wherein the long Cheng Fang risk value is determined to require long Cheng Yujing if at least one of the following conditions is met:

The long Cheng Fang fibrillation risk value is greater than or equal to a first threshold value, and the long Cheng Yujing is determined to be needed;

the first long Cheng Fang risk of fibrillation value is greater than or equal to a second threshold and the long Cheng Fang risk of fibrillation value is greater than or equal to the sum of the first threshold and the first long Cheng Fang risk of fibrillation value;

the long Cheng Fang risk value is greater than or equal to an average or maximum of a plurality of the second long Cheng Fang risk values.

4. The electronic device of any one of claims 1-3, wherein the determining whether short-range pre-warning is needed based on the short-range atrial fibrillation risk value comprises:

and determining whether the long Cheng Yujing needs to be performed according to the short-range atrial fibrillation risk value, a first short-range atrial fibrillation risk value corresponding to the second time period before the user, and a second short-range atrial fibrillation risk value corresponding to the plurality of times of short Cheng Fang fibrillation before the user.

5. The electronic device of claim 4, wherein the short-range early warning is determined to be needed if the short-range atrial fibrillation risk value satisfies at least one of the following conditions:

the short-range atrial fibrillation risk value is greater than or equal to a third threshold value, and short-range early warning is determined to be needed;

The first short-range atrial fibrillation risk value is greater than or equal to a fourth threshold, and the short-range atrial fibrillation risk value is greater than or equal to a sum of a third threshold and the first short-range atrial fibrillation risk value;

the short-range atrial fibrillation risk value is greater than or equal to an average or maximum value of a plurality of the second short-range atrial fibrillation risk values.

6. The electronic device according to any one of claims 1 to 5, wherein the determining, according to the acquisition time corresponding to the PPG data, the adopted early warning result includes:

when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is greater than or equal to a preset fifth threshold, determining that the long-range early warning result is adopted, wherein the long-range early warning result comprises: performing the long-range early warning or not performing the long Cheng Yujing;

when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is smaller than a preset fifth threshold, determining a result of adopting the short-range early warning, wherein the result of the short-range early warning comprises: and carrying out the short-range early warning or not.

7. The electronic device according to any one of claims 1 to 5, wherein the determining, according to the acquisition time corresponding to the PPG data, the adopted early warning result includes:

when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is greater than or equal to a preset sixth threshold value and less than or equal to a preset seventh threshold value, determining an average value of the long Cheng Fang atrial fibrillation risk value and the short-range atrial fibrillation risk value;

when the average value is greater than or equal to a preset eighth threshold value, determining a result of adopting the short-range early warning, wherein the result of the short-range early warning comprises: carrying out the short-range early warning or not carrying out the short-range early warning;

when the average value is smaller than a preset eighth threshold value, determining a result of adopting the long-range early warning, wherein the result of the long-range early warning comprises: and carrying out the long-range early warning or not carrying out the long-range early warning.

8. The electronic device according to any one of claims 1 to 5, wherein the determining, according to the acquisition time corresponding to the PPG data, the adopted early warning result includes:

when the time interval between the acquisition time corresponding to the PPG data and the time when the last atrial fibrillation of the user occurs is greater than or equal to a preset fifth threshold value, and under the condition that the PPG data is not acquired in the time interval, acquiring first PPG data;

And determining an adopted early warning result according to the first PPG data.

9. The electronic device of any one of claims 1-8, wherein the electronic device is in wireless communication with a wearable device of the user, the alerting the user based on the pre-warning result, comprising:

and when the long-range early warning is carried out, synchronizing information of the long-range early warning to the APP of the electronic equipment and the wearable equipment, and prompting the user to intervene.

10. The electronic device of any one of claims 1 to 8, wherein the alerting the user according to the pre-warning result comprises:

and synchronizing information of the short-range early warning to the APP of the electronic equipment when the short-range early warning is carried out.

11. The electronic device of any one of claims 1-10, further comprising a PPG data collector; the electronic device further performs the steps of:

acquiring PPG data of the user and acquisition time corresponding to the PPG data by using a PPG data acquisition device;

and determining the heart rate variability characteristic value of the user according to the PPG data.

12. The electronic device of any one of claims 1-10, wherein the electronic device is in wireless communication with a wearable device of the user, the electronic device further performing the steps of:

receiving the PPG data corresponding to acquisition time sent by the wearable equipment;

13. The electronic device of any one of claims 1-10, wherein the electronic device is in wireless communication with a wearable device of the user, the electronic device further performing the steps of:

and receiving the heart rate variability characteristic value of the user sent by the wearable equipment.

14. A system for atrial fibrillation pre-warning based on different atrial fibrillation phases, the system comprising: the electronic device of any one of claims 1-13 and a wearable device in wireless communication with the electronic device, the wearable device comprising:

a processor;

a memory;

a PPG data collector;

and a computer program stored on the memory, which when executed by the processor, causes the wearable device to perform the steps of:

Acquiring PPG data of a user and acquisition time corresponding to the PPG data by using a PPG data acquisition device;

filtering the PPG data to determine heart rate variability characteristic values of the user;

and sending the heart rate variability characteristic value and the acquisition time corresponding to the PPG data to the electronic equipment.

15. The system of claim 14, wherein the wearable device further performs the steps of:

receiving information of long-range early warning sent by the electronic equipment, wherein the long-range early warning is performed in a non-atrial fibrillation attack period of the user;

prompting the user to check the information of the long-range early warning.