CN115177843B

CN115177843B - Organism relaxation state assessment method, organism relaxation state assessment system, organism relaxation state adjustment method and organism relaxation state adjustment system

Info

Publication number: CN115177843B
Application number: CN202211096701.0A
Authority: CN
Inventors: 叶飞; 冯建武
Original assignee: Perth Sleep Technology Shenzhen Co ltd
Current assignee: Perth Sleep Technology Shenzhen Co ltd
Priority date: 2022-09-08
Filing date: 2022-09-08
Publication date: 2023-05-23
Anticipated expiration: 2042-09-08
Also published as: CN115177843A

Abstract

The invention is applicable to the technical field of diagnosis, and provides a method and a system for evaluating and adjusting a body relaxation state, wherein the method for evaluating the body relaxation state comprises the following steps: selecting a relaxation training model to obtain a reference respiratory waveform; performing relaxation training according to a relaxation training model to obtain a training respiratory waveform; according to the reference respiratory waveform and the training respiratory waveform, respectively calculating a mental stress index, and a respiratory matching index between the reference respiratory waveform and the training respiratory waveform; the relaxation state of the body is evaluated based on the respiratory match index and the mental stress index. The method of the application integrates the respiratory matching index and the mental stress index to evaluate the relaxation state of the organism, combines the fine states of the user in the inspiration and expiration processes, and evaluates the relaxation state of the user more comprehensively and accurately.

Description

Organism relaxation state assessment method, organism relaxation state assessment system, organism relaxation state adjustment method and organism relaxation state adjustment system

Technical Field

The invention relates to the field of diagnosis, in particular to a method, a system, a medium and equipment for evaluating the body relaxation state, and also relates to a method, a system, a medium and equipment for adjusting the body relaxation state.

Background

The 'relaxation training' is similar to the training of Buddhist sitting, taiji boxing and the like in China, can help the whole body muscles relax, promote the self-inhibition state, promote the whole body blood circulation and promote the healthy breathing mode, and well help people to calm emotion, eliminate fatigue, refresh spirit and restore physical strength. And the patient is well guided to carry out effective relaxation training by adopting a scientific method, and the corresponding relaxation training result is fed back to help the patient to make effective adjustment, thereby being beneficial to enhancing the confidence and viscosity of continuous training of the patient and obtaining better treatment effect.

As described in patent CN107411726 a: the invention provides a biofeedback control method and system based on HRV heart rate variability training. The method comprises the following steps: s1: providing mode options including any one or more of a respiratory coaching mode, a respiratory training mode, and a state assessment mode for selection by a user; s2: and entering a corresponding mode interface according to the selection operation of the user, and performing heart rate variability analysis on the current user when the user selects a respiratory training mode or a state evaluation mode. The invention has the advantages that: not limited to simple evaluation, but rather, the user is trained to target different rhythms of breathing for the purpose of balancing damaged parasympathetic nerves (or sympathetic nerves) to achieve effective prevention or alleviation of some diseases.

In the traditional biofeedback therapy (relaxation training), related sensors are required to be worn on a patient, such as an electrocardiograph pole piece is attached for acquiring electrocardio, an oxygen finger probe or a bracelet or a watch is attached for acquiring pulse wave, a brain electrode is attached for acquiring brain information, and the like, so that the wearing of the sensors does not suggest that the patient is collecting data, the psychological tension, rejection and discomfort of the patient are extremely easy to cause, and the psychological relaxation is not completely realized, meanwhile, the wearing of the sensors also causes the burden of the body, and the suddenly increased touch feeling and foreign matters possibly cause the abstinence and rejection discomfort of the body of the patient, so that the relaxation training effect is greatly reduced.

The prior art method for evaluating relaxation training is based on one or more of time domain or frequency domain parameters of heart rate and heart rate variability, respiratory rate and respiratory amplitude, and is basically based on average characteristics in a certain period of time, or simply by calculating mental pressure index of a patient to judge the relaxation state of the patient, and neglecting the fine state of the patient in successive expiration and inspiration, and the patient is guided only according to the frequency of a training model when relaxation training is performed, and then the frequency generated after training is compared with the model, so that whether the patient really realizes relaxation is completely not considered, and real-time expiration and inspiration process evaluation is difficult to achieve.

Disclosure of Invention

The invention aims to provide a method, a system, a medium and equipment for evaluating the body relaxation state, and also provides a method, a system, a medium and equipment for adjusting the body relaxation state, which are used for solving the technical problems in the prior art and mainly comprise the following aspects:

the first aspect of the present application provides a method for assessing a relaxed state of an organism, comprising the steps of:

selecting a relaxation training model to obtain a reference respiratory waveform;

performing relaxation training according to a relaxation training model to obtain a training respiratory waveform;

according to the reference respiratory waveform and the training respiratory waveform, respectively calculating a mental stress index, and a respiratory matching index between the reference respiratory waveform and the training respiratory waveform;

the relaxation state of the body is evaluated based on the respiratory match index and the mental stress index.

Further, calculating a breath match index between the reference breath waveform and the training breath waveform comprises the steps of:

calculating the difference time length between the reference respiratory waveform and the training respiratory waveform, wherein the difference time length is the time length of a non-overlapped part between the reference respiratory waveform and the training respiratory waveform;

and calculating a breath matching index according to the difference time length.

Further, calculating the breath matching index from the difference duration comprises the steps of:

calculating the ratio of the difference duration to the whole duration of the reference respiratory waveform, and calculating a respiratory matching index through the ratio; or alternatively

Establishing a mapping relation between the difference time length and the breath matching index;

and calculating to obtain a breath matching index according to the mapping relation.

Further, the mental stress index is calculated according to the breathing parameters of the training breathing waveform, and/or the relaxation training is carried out according to the relaxation training model, so that the training heart rate parameters of the organism are obtained, and the mental stress index is calculated.

The second aspect of the present application provides a method for adjusting a relaxed state of a body, including the steps of:

executing the assessment method of the body relaxation state;

and if the breath matching index is located outside the preset breath matching index interval and/or the mental stress index is located outside the preset mental stress index interval, adjusting the breath matching index to be within the preset breath matching index interval, and adjusting the mental stress index to be within the preset mental stress index interval.

Further, the breath match index and the mental stress index are adjusted by adjusting the expiration time, and/or the breath match index and the mental stress index are adjusted by adjusting the inspiration time, and/or the breath match index and the mental stress index are adjusted by adjusting the depth of breath.

A third aspect of the present application provides an assessment system for a relaxed state of the body, comprising the following modules:

reference breathing module: the method comprises the steps of selecting a relaxation training model to obtain a reference respiratory waveform;

training a breathing module: the method comprises the steps of performing relaxation training according to a relaxation training model to obtain a training breathing waveform;

the calculation module: the method comprises the steps of respectively calculating a mental pressure index, a respiratory matching index between a reference respiratory waveform and a training respiratory waveform according to the reference respiratory waveform and the training respiratory waveform;

and an evaluation module: is used for evaluating the relaxation state of the organism according to the respiratory matching index and the mental stress index.

A fourth aspect of the present application provides a system for adjusting a relaxed state of a body, comprising:

the execution module: for performing the above-described assessment method of the body relaxation state;

and an adjustment module: and the method is used for adjusting the respiratory matching index to the preset respiratory matching index interval and adjusting the mental stress index to the preset mental stress index interval if the respiratory matching index is positioned outside the preset respiratory matching index interval and/or the mental stress index is positioned outside the preset mental stress index interval.

A fifth aspect of the present application provides a readable storage medium for storing a program which, when executed, is used to implement the above-described method of assessing a state of relaxation of a body, or is used to implement the above-described method of adjusting a state of relaxation of a body.

A sixth aspect of the present application provides an electronic device comprising one or more processors; and a memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the above-described organism relaxation state assessment method or to implement the above-described organism relaxation state adjustment method.

Compared with the prior art, the invention has at least the following technical effects:

(1) Therefore, through the organism relaxation state assessment method provided by the application, firstly, a user obtains a reference breathing waveform by selecting a relaxation training model, then trains the reference breathing waveform along with the training model to obtain a training breathing waveform, and calculates a breath matching index between the reference breathing waveform and the training breathing waveform according to the obtained reference breathing waveform and the training breathing waveform, so that the organism relaxation state is assessed by combining the two aspects of the breath matching index and the mental stress index, and the relaxation state of the user is assessed more comprehensively and accurately by combining the fine states of the user in the inspiration and expiration processes.

(2) According to the method for adjusting the body relaxation state, the breathing of the user can be adjusted in time according to the estimated relaxation result, the breathing matching index and the mental stress index are updated continuously in time, closed-loop feedback is formed, the user can obtain good relaxation training, the user is in a relaxation state as far as possible, and the user is helped to find a proper relaxation training method.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly explain the embodiments of the present invention or the drawings used in the description of the prior art, and it is obvious that the drawings described below are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a flow chart of a method for assessing the state of relaxation of a body in accordance with the present invention;

FIG. 2 is a schematic view of a seat according to the present invention;

fig. 3 is a second schematic view of the seat according to the present invention.

FIG. 4 is data collected by a vibration sensor in the present invention;

FIG. 5 is the data of FIG. 4 after filtering;

FIG. 6 is a reference respiratory waveform and a training respiratory waveform in the present invention;

FIG. 7 is a schematic diagram of a computer readable storage medium according to the present invention;

FIG. 8 is a schematic diagram of an electronic device in accordance with the present invention;

in the figure: 101-a seat; 101A-a first region; 102B-a second region; 103-a display device; 104-earphone; 201A-a backrest; 201B-foot support plate.

Detailed Description

The following description provides many different embodiments, or examples, for implementing different features of the invention. The elements and arrangements described in the following specific examples are presented for purposes of brevity and are provided only as examples and are not intended to limit the invention.

Aspects of the invention will be described more fully hereinafter with reference to the accompanying drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to any specific structure or function presented throughout this invention. Rather, these aspects are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Based on the teachings herein one skilled in the art will recognize that the scope of the present invention is intended to cover any aspect disclosed herein, whether alone or in combination with any other aspect of the present invention. For example, any number of the apparatus or implementations set forth herein may be implemented. In addition, the scope of the present invention is intended to encompass other structures, functions, or devices or methods implemented using structures and functions in addition to the aspects of the invention set forth herein.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Embodiment one:

as shown in fig. 1, a first embodiment of the present application provides a method for assessing a relaxed state of an organism, including the following steps:

In the above-mentioned scheme, before beginning relaxation training, equipment and instruments related to relaxation training need to be prepared, which are specifically as follows:

relaxation training seating or lying furniture: the patient performs the foldback training requiring a relatively comfortable physical environment to stretch his body well, while sitting or lying can help the patient better find the corresponding physical environment. As shown in fig. 2, the seat 101 includes a backrest, a base, and side arm rest portions, so that a patient can sit on the seat with a better "wrapped feel", similar to the feel of an infant wrapped in the placenta before birth, and can feel more relaxed.

In order to collect data of the user during relaxation, a vibration sensor needs to be mounted on the seat, which may be mounted at the first area 101A or at the second area 102B of the seat 101. The vibration sensor comprises an acceleration sensor, a pressure sensor and a displacement sensor or a sensor for equivalent conversion of physical quantity based on acceleration, pressure and displacement, and the vibration sensor in the application adopts a light sensor.

In addition, the seat 101 is further provided with a display device 103, which can be a notebook, a tablet, a mobile phone, etc., without limitation, and can input identity information, training information, etc. of the user through the display device, so that the user can find out the training information in time; as shown in fig. 3, the seat 101 further includes a backrest 201A and a foot support plate 201B, by adjusting the backrest 201A, the angle of the user sitting on the seat 101 can be adjusted, and by adjusting the foot support plate 201B, the angle of the legs can be adjusted, so as to help the user find a more comfortable state, wherein the adjustment methods of the backrest 201A and the foot support plate 201B are not limited herein, and can be manual adjustment or electric adjustment.

It should be noted that, in the present application, the structural form of the seat or the sliding tool is not required, as long as a person can perform relaxation training on the seat and obtain relevant data.

After the preparation work is finished, the user selects a relaxation training model suitable for the user according to the needs, and the relaxation training module comprises: voice guidance, music therapy, VR therapy, binaural beat therapy, and the like. After the relaxation training model is selected, the corresponding reference respiration waveform can be obtained according to the training model.

Then the user only needs to sit on the seat and take the earphone 104, or can also take the earphone out, the user can be in an independent relatively quiet environment, and music is played out in a sound mode and the like. In the training process, the patient does not need to do any operation, only needs to follow a training model, such as voice guidance, so as to relax the mind and body as much as possible, and the vibration sensor always collects data in the process that the user has no preparation and no burden, and actually calculates related parameters for evaluating the relaxation state of the user.

As shown in fig. 4, the training respiratory waveform obtained when the vibration sensor is located in the second area 102B and the user exercises is shown, in which the large outline is the signal envelope generated by the exhalation process and inhalation process of the user, and the heart beat and other interference noise are superimposed on the respiratory envelope curve, at this time, the respiratory signal waveform related to the actual exhalation process and inhalation process of the user is obtained directly based on the respiratory envelope curve, that is, the data collected by the vibration sensor is directly preprocessed to capture the signal (0-2 HZ) in the bandwidth range required by computing the respiratory waveform, and the preprocessing method may be a filtering method such as an IIR filter, an FIR filter, a wavelet filter, a zero-phase bi-directional filter, a mean value filter, a smoothing filter, or a combination of one or more of them.

As shown in fig. 5, the training respiratory waveform obtained by performing the low-pass filtering process on fig. 4 by using an IIR filter is shown. The vibration sensor adopts the optical fiber sensor in this application, the sensitive pressure variation that vibration displacement variation arouses, the user exhales the pressure variation that the process and inhale the process arouses and has the relation with vibration sensor's position, vibration sensor installs the position on the thing to sit on 101 different, can lead to the training respiration wave form difference that produces, vibration sensor is located in the second region 102B in this embodiment, namely user's buttock below, when the user inhales, the pleuroperitoneal cavity draws gas and expands, result in the health to be in the state of pushing down, change into the increase trend to bottom pressure, for the falling edge interval in the training respiration wave form, the rising interval in the training respiration wave form is then not in the expiration state.

For convenience of explanation, the mode configured to guide the patient to breathe may be the simplest fixed respiratory rate mode in the set of reference beard waveform states, and is configured to train the "fast deep inhalation slow deep exhalation" mode, the inhalation time interval is T1, the exhalation time interval is T2, and the cycle is repeated, generally, the patient needs to inhale relatively fast and inhale slowly, that is, the exhalation time interval is set to be T2 to be greater than the inhalation time interval is T1, and in this embodiment, the exhalation time interval is T2 to be about twice the inhalation time interval is T1. As shown in fig. 6, the uppermost solid square wave is a reference respiratory waveform, the low state value indicates a guiding inhalation state, the high state value indicates a guiding exhalation state, a user exhales and inhales following voice guiding in the training process, the vibration sensor records the respiratory state, the recorded data are waveform diagrams of middle positions, for convenience in presentation, two waveform diagrams of the middle positions are provided, one waveform diagram is a training respiratory waveform obtained by original training respiration, the other smoother waveform diagram is a waveform formed by filtering the original data, the actual training respiratory waveform after training can be calculated through the waveform, and the lowermost square wave is a training respiratory waveform in a square wave form obtained according to the training respiratory waveform after the middle filtering processing. Likewise, a low state value indicates a guideline inhalation state, and a high state value indicates a guideline exhalation state; wherein the gray filled modules represent the time difference of the actual inhalation earlier or later than the end of the reference inhalation process during inhalation and the black filled modules represent the time difference of the actual exhalation earlier or later than the end of the reference exhalation process during exhalation.

Then, according to the reference respiratory waveform and the training respiratory waveform, calculating respiratory matching indexes between the reference respiratory waveform and the training respiratory waveform, wherein the respiratory matching indexes comprise an expiration matching index and an inspiration matching index; according to the respiratory rate in the training respiratory waveform, the mental stress index is calculated, and according to whether the obtained respiratory matching index is located in a preset respiratory matching index interval or not, whether the mental stress index is located in a preset mental stress index interval or not, the relaxation state of the organism is comprehensively evaluated, for example, the preset respiratory matching index interval is 0.2-0.5, the preset mental stress index interval is 0.1-0.3, whether the user is in a relaxation state or not is judged through the respiratory matching index and the mental stress index together, the user is not relaxed through the fact that the respiratory matching index is higher, the user cannot relax through the fact that the mental stress index is lower, if the respiratory matching index obtained by relaxation training of the user is not higher, the breathing of each time is delayed for a certain time than the training model, but the state is possibly the most relaxed state of the user, and if the relaxation state of the user is judged through the respiratory matching index only, misjudgment can easily occur.

It should be noted that the body in the present application refers to a user using the method or the apparatus in the present application.

Therefore, through the organism relaxation state assessment method provided by the application, firstly, a user obtains a reference breathing waveform by selecting a relaxation training model, then trains the reference breathing waveform along with the training model to obtain a training breathing waveform, and calculates a breath matching index between the reference breathing waveform and the training breathing waveform according to the obtained reference breathing waveform and the training breathing waveform, so that the organism relaxation state is assessed by combining the two aspects of the breath matching index and the mental stress index, and the relaxation state of the user is assessed more comprehensively and accurately by combining the fine states of the user in the inspiration and expiration processes.

In the above scheme, the breath matching index essentially refers to the matching degree between the reference breath waveform and the training breath waveform, and the specific calculation method is as follows:

as shown in fig. 6, the gray filled module indicates the time difference that the actual inhalation is earlier or later than the end of the reference inhalation process during inhalation, and the black filled module indicates the time difference that the actual exhalation is earlier or later than the end of the reference exhalation process during exhalation; adding the time periods corresponding to all gray filling modules to serve as inspiration difference time periods, and then calculating a corresponding inspiration matching index according to the ratio of the inspiration difference time periods to the integral time periods of the reference respiration waveforms or through a function relation and other methods according to the difference time periods; after the difference time length is obtained, a mapping relationship between the difference time length and the inspiration matching index can be established, for example, the difference time length is 0.1, the corresponding inspiration matching index is 1, the inspiration matching index can be obtained through the method, and besides, the corresponding difference area, volume and the like can be calculated through the inspiration difference time length, so that the corresponding inspiration matching index can be obtained.

Similarly, adding the durations corresponding to all the black filling modules to be used as expiration difference durations, and then calculating the ratio of the expiration difference durations to the integral duration of the reference respiratory waveform or calculating a corresponding expiration matching index according to the difference durations by a function relation and other methods; after the difference time length is obtained, a mapping relationship between the difference time length and the expiration matching index can be established, for example, the difference time length is 0.1, the corresponding expiration matching index is 1, the expiration matching index can be obtained through the method, and in addition, the corresponding expiration matching index can be obtained through calculating the corresponding difference area, volume and the like through the expiration difference time length.

If only the inspiration process is concerned, only the inspiration matching index model can be estimated and established to represent the breath matching index estimation training effect; if only the exhalation process is concerned, only the establishment of the exhalation matching index model can be evaluated for evaluating the training effect of the characteristic breath matching index. Of course, the two methods can be simultaneously focused, and the breath matching index model is estimated and established by considering the inspiration process and the expiration process at the same time and used for representing the breath matching index estimation training effect. In one embodiment, there may be different weights of interest for the inspiration and expiration processes, and the breath-matching index model may also be built by a weight distribution function. Further, the mapping relationship corresponding to the breath matching index can be established according to the difference time length, the ratio of the difference time length to the training time length, the ratio of the difference time length to the overlapping time length, and various relationship quantities of the difference time length and the training time length which can be mutually converted, and will not be described.

After the training respiratory waveform is obtained, respiratory parameters such as respiratory frequency and respiratory mode of the training respiratory waveform can be obtained through calculation by various methods such as a time domain wave searching method, a morphological matching method and a time-frequency analysis method, and then the mental pressure index is calculated through the respiratory parameters, if the respiratory frequency is higher, the mental pressure is higher, the respiratory frequency is lower and tends to be stable, and the mental pressure is lower.

The mental stress index of the organism can also be calculated according to the training heart rate parameters of the user, such as heart rate, heart rate variability and the like, obtained by the vibration sensor after the user performs relaxation training.

The mental stress index of the body can also be calculated according to the combination of the breathing parameter and the heart rate parameter.

In this application, heart rate variability is used to calculate, which reflects the synergistic effects of the sympathetic and parasympathetic nerves of the autonomic nervous system, characterizes the autonomic nervous system function and balance ability, and can reflect the mental state of the patient. There are many analysis methods for heart rate variability, including linear analysis methods and nonlinear analysis methods, and linear analysis methods also include time domain analysis methods, frequency domain analysis methods, transfer function analysis methods, and the like. In this embodiment, a frequency domain analysis method is adopted, based on the obtained time domain BCG signal waveform, a beat-by-beat inter-beat wide sequence is obtained by a wave search method, and a power spectrum analysis is performed by taking the inter-beat wide sequence with a certain time length (2 minutes in this embodiment). The power spectrum can be obtained by adopting methods such as Fourier transformation, welch spectrum method, AR spectrum estimation and the like. In the embodiment, an AR spectrum estimation method is adopted, then spectrum division is carried out, the grouping classification high-frequency component HF is 0.15-0.40 Hz, the low-frequency component LF is 0.04-0.15 Hz, and the ultra-low-frequency component VLF is 0.003-0.04 Hz. The energy ratio LF/HF of the low frequency component to the high frequency component is calculated, reflecting the state of balance of the autonomic nervous system, thereby mapping the Stress index Stress (HRV (t)), HRV (t) =hrv ((LF/HF) (t)). Further, in one embodiment, the corrected Stress index Stress (HRV (t)), HRV (t) =hrv ((LF/HF) (t), TP (t)), may also be performed in conjunction with the total power spectrum TP.

Embodiment two:

the second embodiment of the present application provides a method for adjusting a body relaxation state, including the following steps:

executing the assessment method of the body relaxation state;

In the above scheme, after the body is relaxed and trained, the calculated respiratory matching index is located outside the preset respiratory matching index interval, the body needs to be adjusted, and the respiratory matching index is adjusted to be within the preset respiratory matching index interval, and the specific adjustment method is as follows:

the last two black plugs have very small areas as shown in fig. 6. The gray filling blocks still exist, but the two gray filling blocks are at the inspiration end position, namely the expiration start position, which is later than the reference respiratory waveform, so that the voice guidance can adaptively update and generate an adjusted relaxation training guidance model according to the characteristics, the inspiration time duty ratio is slightly prolonged, namely the inspiration time interval T1 is adjusted to be T1 plus delta T, the expiration time interval is T2-delta T, and delta T is larger than 0 and is adjusted according to the patient adaptation time difference. Of course, the adjustment cannot be blindly adjusted, otherwise, the breathing mode of the patient is possibly matched with the unscientific breathing mode of the patient, and the breathing fluctuation rhythm of the patient is properly matched for fine adjustment on the premise that the scientific breathing mode approved by medical staff is large. In this embodiment, the allowable adjustment range is configured such that after the inspiration time interval T1 is adjusted to t1+Δt, the time interval of expiration time interval T2- Δt cannot be exceeded for ensuring the training state of rapid deep inspiration and slow expiration.

In one embodiment, the mode configured to guide the patient's breathing is a training "slow deep inhalation slow deep exhalation" mode, and the adjusted t1+Δt may be limited to a range of (T2- Δt) ×80% > (T2- Δt) ×120%. In one embodiment, the mode configured to guide patient breathing is a training "slow deep inhalation fast deep exhalation" mode, and the adjusted t1+Δt may be limited to a range of no less than (T2- Δt) ×150%.

In particular, there is a difference in the acuity of the reflex action by the patient in relation to the relaxation training of the reference respiratory waveform, such as the body always having hysteresis in relation to the guiding instructions in the transition from the inspiration state to the expiration state, the current state, although not matching the reference respiratory waveform, may be the most comfortable and relaxed state of the body itself.

In this application, the relaxation state of the body may be adjusted by adjusting the inspiration time or the expiration time alone, and the inspiration time and the expiration time may be adjusted simultaneously, which is not limited herein.

After the body is relaxed and trained, the mental stress index obtained through calculation is located outside a preset mental stress index interval, the body needs to be adjusted, and the mental stress index is adjusted to be within the preset mental stress index interval, and the specific adjustment method is as follows:

in this embodiment, it is assumed that at a certain time T1 in the respiratory training process, the inspiration time interval is T1 (T1), the expiration time interval is T2 (T1), and the Stress index is Stress (T1). At this time, if the respiratory matching state of the patient is adjusted to Δt (T1), Δt (T1) >0, at the next time T2, the inspiration time interval is T1 (T2) =t1 (T1) +Δt (T1), the expiration time interval is T2 (T2) =t1 (T1) - Δt (T1), and the Stress index is Stress (T2). At this time, the deviation value Δstress (t 2) between Stress (t 2) and Stress (t 1) can be determined. If Δstress (T2) is greater than 0, indicating that the direction of adjustment may adversely affect the patient's own state of relaxation, and thus- Δt (T2), Δt (T2) >0 may be reversed, then at the next time T3, the inspiration time interval is T1 (T3) =t1 (T2) - Δt (T2), the expiration time interval is T2 (T3) =t1 (T2) +Δt (T2), and the Stress index is Stress (T3). At this time, the deviation value Δstress (t 3) between Stress (t 3) and Stress (t 2) can be judged, and it is found that Δstress (t 3) is smaller than 0, which indicates that the adjustment direction is accurate and can be further adjusted. By cycling through this, a relaxed training guidance model can be found that best fits the current patient in the current breathing pattern. In one embodiment, when Δstress (t 2) is found to be greater than 0, the counter-adjusted- Δt (t 2), Δt (t 2) >0, may also ensure Δt (t 2) > Δt (t 1) >0 to reach the equilibrium point faster.

Preferably, the breath match index and the mental stress index can also be adjusted by adjusting the depth of breath in the present application, such as adjusting the frequency of expiration and inspiration in the depth of breath, 10 inspiration 1 minute, 5 expiration, etc.

Therefore, by the method for adjusting the body relaxation state, the breathing of the user can be adjusted in time according to the estimated relaxation result, the breathing matching index and the mental stress index are updated continuously in time, annular feedback is formed, the user can obtain good relaxation training and is in a relaxation state as far as possible, and the user is helped to find a proper relaxation training method.

Embodiment III:

an embodiment III of the present application provides an evaluation system for a relaxed state of an organism, including the following modules:

Further, in the calculating module, the respiratory matching index between the reference respiratory waveform and the training respiratory waveform is calculated as follows:

Further, the calculating module is further configured to calculate a breath matching index according to the difference duration:

Further, the calculating module is used for calculating the mental stress index according to the breathing parameters of the training breathing waveform and/or performing relaxation training according to the relaxation training model to obtain the training heart rate parameters of the organism and calculating the mental stress index.

Embodiment four:

the fourth embodiment of the present application provides a system for adjusting a body relaxation state, including the following modules:

Further, the adjusting module is further configured to adjust the respiratory matching index and the mental stress index by adjusting the expiration time, and/or adjust the respiratory matching index and the mental stress index by adjusting the inspiration time, and/or adjust the respiratory matching index and the mental stress index by adjusting the respiratory depth.

It will be clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above described system and unit may refer to the corresponding processes in the foregoing method embodiments, which are not repeated herein.

In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.

Fifth embodiment:

a fifth embodiment of the present application provides a readable storage medium for storing a program, where the program is executed to implement the above-described method for evaluating a relaxed state of a body or the above-described method for adjusting a relaxed state of a body.

Fig. 7 is a block diagram of a computer readable storage medium according to a fifth embodiment of the present application. The computer readable storage medium 1200 has stored therein program code 1210, which program code 1210 is callable by a processor to perform the method described in the method embodiments described above.

The computer readable storage medium 1200 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM (erasable programmable read only memory), a hard disk, or a ROM. Optionally, the computer readable storage medium 1200 includes a non-volatile computer readable storage medium (non-transitory computer-readable storage medium). The computer readable storage medium 1200 has memory space for program code 1210 that performs any of the method steps described above. The program code can be read from or written to one or more computer program products. Program code 1210 may be compressed, for example, in a suitable form.

Example six:

an electronic device includes one or more processors; and a memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the above-described organism relaxation state assessment method or to implement the above-described organism relaxation state adjustment method.

Fig. 8 is a block diagram illustrating an electronic device 1100 according to a sixth embodiment of the present application. The electronic device 1100 in the present application may include one or more of the following components: memory 1110, processor 1120, and one or more application programs, wherein the one or more application programs may be stored in memory 1110 and configured to be executed by the one or more processors 1120, the one or more program configured to perform the methods as described in the foregoing method embodiments.

The Memory 1110 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (ROM). Memory 1110 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 1110 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a histogram equalization function, etc.), instructions for implementing the various method embodiments described below, etc. The storage data area may also store data (e.g., image matrix data, etc.) created by the electronic device 1100 in use.

Processor 1120 may include one or more processing cores. The processor 1120 utilizes various interfaces and lines to connect various portions of the overall electronic device 1100, perform various functions of the electronic device 1100, and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 1110, and invoking data stored in the memory 1110. Alternatively, the processor 1120 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 1120 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU) and a modem etc. Wherein, the CPU mainly processes an operating system, application programs and the like; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 1120 and may be implemented solely by a communication chip.

Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. 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 invention.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims

1. A method for assessing the state of relaxation of an organism, comprising the steps of:

according to the reference respiratory waveform and the training respiratory waveform, respectively calculating a mental stress index, and a respiratory matching index between the reference respiratory waveform and the training respiratory waveform; wherein the breath matching index is the matching degree between the reference breath waveform and the training breath waveform;

assessing the relaxed state of the body according to the respiratory matching index and the mental stress index;

wherein calculating a breath match index between the reference breath waveform and the training breath waveform comprises the steps of:

2. The assessment method according to claim 1, wherein calculating a breath match index from the difference durations comprises the steps of:

3. The assessment method according to claim 1, characterized in that the mental stress index is calculated from the obtained respiratory parameters of the training respiratory waveform and/or the mental stress index is calculated by performing a relaxation training according to a relaxation training model to obtain the training heart rate parameters of the body.

4. A method for adjusting the relaxed state of a body, comprising the steps of:

-performing the assessment method of the state of relaxation of the body according to one of claims 1-3;

5. The adjustment method according to claim 4, characterized in that the breath matching index and the mental stress index are adjusted by adjusting the expiration time, and/or the breath matching index and the mental stress index are adjusted by adjusting the inspiration time, and/or the breath matching index and the mental stress index are adjusted by adjusting the depth of breath.

6. An assessment system for the state of relaxation of the body, comprising the following modules:

the calculation module: the method comprises the steps of respectively calculating a mental pressure index, a respiratory matching index between a reference respiratory waveform and a training respiratory waveform according to the reference respiratory waveform and the training respiratory waveform; wherein the breath matching index is the matching degree between the reference breath waveform and the training breath waveform;

and an evaluation module: for assessing the state of relaxation of the body based on the respiratory match index and the mental stress index;

7. A system for adjusting the state of relaxation of a body, comprising the following modules:

the execution module: -performing an assessment method of the state of relaxation of the body according to one of claims 1-3;

8. A readable storage medium for storing a program which, when executed, is adapted to carry out the method of assessing a state of relaxation of a body as claimed in any one of claims 1 to 3 or to carry out the method of adjustment of a state of relaxation of a body as claimed in any one of claims 4 to 5.

9. An electronic device comprising one or more processors; a memory having one or more programs stored thereon, which when executed by the one or more processors, cause the one or more processors to implement the method of assessing a state of relaxation of a body as claimed in any of claims 1 to 3 or for implementing the method of adjusting a state of relaxation of a body as claimed in any of claims 4 to 5.