WO2023017228A1

WO2023017228A1 - System and method for analysing the physiological state of a user

Info

Publication number: WO2023017228A1
Application number: PCT/FR2022/051576
Authority: WO
Inventors: Karim Oumnia
Original assignee: Digitsole
Priority date: 2021-08-10
Filing date: 2022-08-10
Publication date: 2023-02-16
Also published as: FR3126095B1; FR3126095A1

Abstract

The invention relates to an electronic system (1) for analysing the physiological state of a user, comprising: • at least one acquisition device (10) arranged to generate one or more representations of a foot sole of the user, • a treadmill (20) arranged to allow the user to walk or run; • at least one mobility analysis device (30) configured to generate motion data; • at least one data memory (70) configured to store one or more representations of a foot sole, the motion data and at least one morphological parameter value of the user; and • one or more processors (40) configured to: • calculate at least one sole morphology parameter value of at least one foot of the user; • calculate at least one mobility parameter value of the user; and to • calculate at least one parameter value of physiological state.

Description

SYSTEM AND METHOD FOR ANALYZING THE PHYSIOLOGICAL STATE OF A USER

Technical area

The invention relates to the field of monitoring parameters attached to individuals and in particular their physiological state. The invention can for example find an application in the diagnosis of a pathology, in monitoring the evolution of a pathology or in monitoring the effectiveness of a treatment. The invention relates in particular to a system and a method for calculating values of parameters relating to the physiological state of a user.

Prior technique

[0002] Below, we describe the known prior art from which the invention has been developed.

[0003] The foot constitutes a particularly complex part of the human body and also plays a particularly important role since it is the keystone, essential to bipedalism, allowing a human being to move. Thus, many systems have been proposed for the analysis of the center of pressure (US9687712), the time of flight (US2015151160) or the type of gait (KR20190105867). For example, a system has been proposed which uses a pressure sensitive surface to record a walking line of the center of pressure exerted by the user's foot on an underlying surface during a period of stepping (US9687712).

[0004] While these systems are generally limited to studying walking or running performance metrics, it is of capital importance for the physiology of an individual and the slightest damage to the latter can quickly have an impact on the rest of the body by effect of biomechanics which can consequently disturb the functioning of the organs. For example, plantar orthoses can have an effect on knee, hip and spine deformities. Moreover, these orthotics have even been shown to be effective in solving back problems (Cambron et al., 2017; “Shoe Orthotics for the Treatment of Chronic Low BackPain: A Randomized Controlled Trial”; Archives of Physical Medicine and Rehabilitation 2017;98 :1752-62). In addition, some pathologies present a specific symptomatology of the foot from the point of its morphology or its general condition, which can in turn affect movement and have biomechanical effects on various parts of the body. This is particularly the case with diabetes or certain neuropathies. Thus, it has been proposed to analyze the foot of a patient with Charcot-Marie-Tooth disease (Bernasconi et al. 2021; Foot and Ankle Surgery. Volume 27, Issue 2, February 2021, Pages 186-195) and morphological differences were found compared to the feet of healthy people. In addition, it has been proposed to monitor the impact of stimulation of the pallidum on anticipatory postural adjustments as measured by pressure sensors in the case of dystonias (Jakob et al. Hypometric anticipatory postural adjustments in dystonia are not affected by deep brain stimulation of globus pallidus internus. Neurosci Lett. 2017 Jan 1;636:151-157. doi: 10.1016/j.neulet.2O16.11 .015.).

[0005] Confirming the importance of the feet, it has been shown that an action on the foot and in particular on the arch of the foot can have a beneficial effect that can complement conventional therapeutic interventions in patients suffering from various ailments such as: reducing pain in newborns (Yilmaz et al 2021; Archives de Pédiatrie. Volume 28, Issue 4, May 2021, Pages 278-284); reducing colic in infants (Karatas et al. 2021; Complementary Therapies in Medicine. Volume 59, June 2021, 102732); the reduction of anxiety and the stabilization of physiological parameters in the context of resuscitation (Abbaszadeh et al. 2018; Complementary Therapies in Clinical Practice. Volume 31, May 2018, Pages 220-228) or even the improvement of the level of blood bilirubin in children (Jazayeri et al. 2021; Complementary Therapies in Medicine. Volume 59, June 2021, 102684).

[0006] Certain pathologies also have a direct or indirect impact on gait. For example, people with diabetic retinopathy may experience postural or gait instability compared to healthy subjects (Piras et al 2020; The effect of diabetic retinopathy on standing posture during optic flow stimulation. Gait & Posture 2020). Also parkinsonian gait (eg, bradikinesia, muscle rigidity, tremor at rest and/or shortened stride) is a hallmark of the pathology.

[0007] Thus, there are numerous studies making associations between the morphology of the feet, gait or mobility and pathologies or treatments. However, these studies are above all observational, and the studies of the prior art are either too general and therefore poorly adapted or too specific to a pathology or a dysfunction. In addition, the user often has to call on one or more specialists, using several specialized devices. [0008] Thus, there is no proposed system capable of implementing such analyzes simply and quickly. Thus, there is a need for a system for analyzing the physiological state of a user which, without invasive practice, is able to effectively take into account all the parameters making it possible to make recommendations adapted to a user.

Summary of the invention

The invention aims to overcome these drawbacks.

The invention relates in particular to an electronic system for analyzing the physiological state of a user comprising:

- At least one acquisition device arranged to generate one or more representations of a sole of the user's foot, said representation(s) preferably being associated with depth data, in particular of the arch of the foot;

- A treadmill arranged to allow the user to walk or run on said treadmill;

- At least one mobility analysis device comprising at least one inertial platform and/or at least one pressure sensor configured to generate movement data when the user walks or runs on the treadmill;

- At least one data memory configured to store the one or more representations of a sole of the foot, the movement data, and at least one morphological parameter value of the user;

- One or more processors configured to: o Calculate, from the one or more generated representations, at least one plantar morphology parameter value of at least one foot of the user; o Calculating at least one user mobility parameter value from motion data generated when the user walks or runs, preferably on the treadmill; o Calculate at least one physiological state parameter value from the at least one morphological parameter value of the user, at least one plantar morphology parameter value and at least one mobility parameter value. [0011] The applicant has developed an electronic system, integrating numerous sensors, capable of calculating an individual's physiological state without invasive measurement, or intervention by a specialist, or recourse to a plurality of specific devices. In particular, the applicant has developed a system grouping together most of the functions allowing the calculation of representative physiological state parameter values, since they are generated in particular in a situation and can be used to generate information or a recommendation adapted to a user.

[0012] As will be detailed, the combination in the same system of a device for acquiring the representation of the foot which can give in particular the position, the shape and the height of the arch of the foot with a dynamic analysis of the mobility of the foot. The user will make it possible to identify in a much more precise manner the values of a physiological state characteristic of a user at a given instant. In particular, the treadmill makes it possible to provide a walking and running ground to determine values of mobility parameters and/or values of physiological parameters to identify the actual physiological state of the user.

According to other optional features of the system, the latter may optionally include one or more of the following features, alone or in combination:

- the one or more processors are further configured to generate one or more recommendations as a function of the at least one calculated physiological state parameter value and preferably it comprises a man-machine interface configured to display the recommendation(s). The recommendations can take several forms, such as advice on exercises adapted to the physiological state of the user, or advice on their diet or even advice relating to increased pathological risks. Preferably, the recommendation(s) comprise a training program comprising one or more exercises to be performed to improve the user's health, the user's gait, reduce the risk of cardiovascular pathology or reduce the risk of injury.

the physiological state parameters are selected from: a health score, a pathological risk score, a pathology development score and/or a therapeutic treatment efficacy score. - the one or more processors are further configured to calculate physiological state parameter values further taking into account at least one user profile parameter value, said user profile parameters possibly comprising the gender, age, and/or medical condition affecting the user.

- the system comprises at least one physiological sensor configured to generate physiological parameter values of the user, in particular when the user walks or runs on the treadmill, and the one or more processors are further configured to calculate values of physiological state parameter further taking into account at least one generated physiological parameter value, said physiological parameter possibly including heart rate, blood pressure, body temperature, respiratory rate, and/or partial oxygen saturation.

- the representation(s) of a sole of the user's foot comprise a three-dimensional representation of at least part of the user's foot, preferably of the arch of the foot. Such a three-dimensional image including a representation of the sole of the foot makes it possible to quickly extract relevant data for the calculation of sole parameter values such as the length, width, height of the instep, and possibly its geometric shape. .

- the at least one representation of a sole of the user's foot includes at least one representation made when the user is standing and at least one representation made when the user is seated and the one or more processors are further configured to calculating the at least one plantar morphology parameter value from at least one representation produced when the user is standing and from at least one representation produced when the user is seated. Thus, it is possible to analyze the soles of the feet and more particularly the geometry of the arch of the foot when it is at rest and when the body is resting on it. This improves the appreciation of the physiological state of the user.

- the at least one morphology parameter value includes a plantar arch morphology parameter value selected from: a plantar arch width value, a plantar arch height value, and/or an index value of the 'isthmus.

- the processor(s) are further configured to calculate the physiological state parameter values further taking into account at least one user activity settings value. Thus, the system makes it possible to finely adapt the analysis or its recommendation(s) to the activities already practiced by a user. Furthermore, the system according to the invention makes it possible, automatically, to consider parameter values generated in different situations such as walking and/or running. the electronic system further comprises a man-machine interface indicating to the user specific exercises to be carried out, in particular on the treadmill, said specific exercises being determined according to at least one value of activity parameters, of parameters morphological and/or user profile parameters; and the electronic system being configured so that the at least one calculated mobility parameter value used to calculate the physiological state parameter values is calculated from movement data generated during the performance of the specific exercises by the user . Indeed, depending on the characteristics specific to the user, the system will be able to automatically determine which exercises will make it possible to calculate with the most accuracy the parameters of the physiological state of the user.

- the at least one acquisition device comprises a depth-detection camera, in particular a depth-detection 3D camera.

- the at least one acquisition device comprises an image acquisition device arranged to generate one or more representations of the top of the user's foot.

- the at least one acquisition device comprises an image acquisition device arranged to generate one or more representations of the lower limbs, preferably arranged to generate movement kinematics of the lower limbs of the user during a walk or run on the treadmill.

- the at least one mobility analysis device comprises pressure sensors and/or force sensors integrated into the treadmill, and which are configured to generate the user's movement data when the user walks or runs on the treadmill.

- the at least one mobility analysis device comprises at least two electronic boxes each comprising an inertial platform and which, once coupled each to a foot of the user, are configured to generate the movement data of the user.

- the one or more processors are further configured to calculate physiological state parameter values of the user further taking into account: - at least one user profile parameter value, said user profile parameter possibly including gender, age, and/or a pathology affecting the user;

- at least one user activity parameter value, said user activity parameter value possibly comprising a typology of the running or walking terrain, a sport typology, an average number of kilometers achieved by week, an average number of kilometers covered per outing, and/or an average walking or running speed; and or

- at least one physiological parameter value of the user, said physiological parameter of the user possibly including heart rate, blood pressure, body temperature, respiratory rate, and/or partial oxygen saturation.

This makes it possible to best adjust the physiological state parameters and/or the recommendations. Preferably, the at least one physiological parameter value of the user is measured when the user is walking or running on the treadmill.

- The electronic system comprises a remote computing device, said remote computing device comprising part of the one or more processors, and being configured to communicate with a device integrating the treadmill and the acquisition device, preferably by a communication network. This makes it possible to lighten the processing and the memory of the electronic system comprising the acquisition device and the treadmill on the one hand and to centralize at least part of the analyzes on the other hand.

According to a second object, the invention relates to a method for analyzing the physiological state of a user implemented by one or more processors coupled to at least one data memory configured to memorize one or more representations of a sole of the foot, motion data generated when the user is walking or running, and at least one morphological parameter value of the user, said method comprising the following steps:

- Calculate, from one or more representations of a sole of the user's foot generated by an acquisition device, at least one plantar morphology parameter value of at least one foot of the user;

- Calculating user mobility parameter values from motion data generated when the user walks or runs, said motion data movement having been generated by a mobility analysis device, the at least one mobility analysis device comprising at least one inertial platform and/or at least one pressure sensor;

- Calculating physiological state parameter values from at least one morphological parameter value of the user, at least one plantar morphology parameter value and at least one mobility parameter value.

The method according to the invention may also comprise a step, implemented by the one or more processors, of generating one or more recommendations from the calculated physiological state parameter values.

Brief description of the drawings

[0015] Other characteristics and advantages of the invention will be better understood on reading the description which follows and with reference to the appended drawings, given by way of illustration and in no way limiting.

Figure 1 shows a functional illustration of an electronic system according to one embodiment of the present invention. The dotted items are not essential.

Figure 2 shows illustrations of a representation of a sole of the user's foot according to the present invention.

Figure 3 shows an electronic system according to one embodiment.

Figure 4 represents possible positions of a mobility analysis device when it takes the form of an electronic box.

Figure 5 shows an illustration of a method for analyzing the physiological state of a user according to the present invention.

[0016] The figures do not necessarily respect the scales, in particular in thickness, and this for illustrative purposes.

Aspects of the present invention are described with reference to flow charts and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. In the figures, flowcharts and block diagrams illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowcharts or block diagrams may represent a system, device, module, or code, which includes one or more executable instructions to implement the specified logical function(s). In some implementations, the functions associated with the blocks may appear in a different order than that indicated in the figures. For example, two blocks shown in succession may, in fact, be executed substantially simultaneously, or the blocks may sometimes be executed in reverse order, depending on the functionality involved. Each block in the block diagrams and/or flowchart, and combinations of blocks in the block diagrams and/or flowchart, may be implemented by special hardware systems that perform the specified functions or acts or perform combinations of special equipment and computer instructions.

Description of embodiments

[0018] Below, we describe part of the vocabulary associated with the invention, before presenting the drawbacks of the prior art, then finally showing in more detail how the invention remedies them in the context of one or several embodiments.

[0019] The expression “movement data” generally corresponds to data generated by sensors when the user is in motion.

[0020] The expressions “raw data” and “raw motion data” generally correspond to data generated by sensors and which have not yet been transformed. This may for example correspond to data generated by an inertial platform. The processing of raw data can make it possible to obtain biomechanical parameter values.

[0021] The expression "analysis of a movement", "analysis of mobility" or "analysis of the gait" can correspond, within the meaning of the invention, to the attribution of one or more values, for example a score, a classification or a note to a trajectory or to the displacement of a user's foot. This characterization of the gait makes it possible to obtain one or more numerical or alphanumeric values of biomechanical parameters representative of the gait, which can be called mobility parameters. [0022] The expression "analysis of the physiological state of a user" can correspond, within the meaning of the invention, to the attribution of one or more values, for example a score, a classification or a note to the physiological state of a user. This physiological state corresponds in particular to a state of the body or of the bodily functions. It can also be considered as a characteristic of the health of an animal or a human.

[0023] The expression “mobility parameters” may correspond to biomechanical parameters identified in dynamic position.

[0024] By "biomechanical parameter" is preferably meant within the meaning of the invention a characteristic of the posture or mobility of the user. A biomechanical parameter can be determined by various calculation operations based on movement data.

[0025] The term “sole” means an object making it possible to separate the foot of the user from the ground. A shoe can include an upper sole layer in direct contact with the foot of the user and a lower sole layer in direct contact with the ground or more generally the external environment. A shoe can also include a removable insole, taking the role of upper sole.

[0026] "Removable" means the ability to be easily detached, removed or disassembled without having to destroy the fixing means either because there is no fixing means or because the fixing means are easily and quickly removable (e.g. notch, screw, tab, lug, clips). For example, by removable, it should be understood that the object is not fixed by welding or by any other means not intended to allow the object to be detached.

The term “substantially identical” within the meaning of the invention means a value varying by less than 30% with respect to the compared value, preferably by less than 20%, even more preferably by less than 10%.

The term "process", "calculate", "determine", "display", "transform", "extract", "compare" or more broadly "executable operation", within the meaning of the invention, an action performed by a device or processor unless the context indicates otherwise. In this respect, operations refer to actions and/or processes of a data processing system, for example a computer system or an electronic computing device, which manipulates and transforms data represented as physical (electronic) quantities in computer system memories or other information storage, transmission, or display devices. These operations can be based on applications or software.

[0029] The expressions “walking cycle” or “running cycle” within the meaning of the invention can correspond to the time interval between two presses of the heel of the same leg on the ground, or more generally two identical events repeated during a walk or a run.

[0030] By “correlation model”, it is necessary to understand in the sense of the invention a finite sequence of operations or instructions making it possible to calculate a value from one or more input values. The implementation of this finite sequence of operations makes it possible, for example, to assign a value Y, such as a label Y, to an observation described by a set of characteristics or parameters X thanks, for example, to the implementation of a function f, capable of reproducing Y by having observed X.

Y = f (X) + e where e symbolizes the noise or measurement error.

[0031] The term “prediction model” means any mathematical model making it possible to analyze a volume of data and to establish relationships between factors making it possible, for example, to assess the risks or opportunities associated with a specific set of conditions, in order to direct decision-making towards a specific action. A prediction model is usually generated as part of a machine learning process. In the context of the present invention, learning can be advantageously used for the calculation of one or more values of physiological state parameters.

[0032] By “supervised machine learning model”, we mean in the sense of the invention a correlation model generated automatically from data, called observations, which have been labelled.

[0033] By “unsupervised machine learning model”, we mean in the sense of the invention a correlation model generated automatically from data, called observations, which have not been labelled.

[0034] The expression "foot angle values" within the meaning of the invention can correspond to angle values making it possible to represent the position of an individual's foot in its environment, that is to say for example with respect to a predetermined frame of reference. This position may relate to the individual's limbs with, for example, the angle formed by the axis of the tibia and the anteroposterior axis of the foot. This position can also relate to elements external to the individual with, for example, the angle formed by the anteroposterior axis of the foot and the ground. Finally, this position can also be relative to an angle formed by the anteroposterior axis of the foot and a calculated line of walking or a calculated trajectory of the foot.

[0035] The expression “predetermined frame of reference” within the meaning of the invention may correspond to an inertial frame of reference such as a terrestrial frame or a non-inertial frame of reference such as one or more limbs of the individual or even a frame generated from individual movement data.

[0036] The terms or expressions "application", "software", "program code", and "executable code" mean any expression, code or notation, of a set of instructions intended to cause data processing to perform a particular function directly or indirectly (e.g. after a conversion operation to another code). Sample program code may include, but is not limited to, a subroutine, function, executable application, source code, object code, library, and/or any other sequence of instructions designed for the running on a computer system.

Within the meaning of the invention, the term “processor” denotes at least one hardware circuit configured to execute instructions contained in the program code. The hardware circuit may be an integrated circuit. Examples of a processor include, but are not limited to, central processing unit (CPU), network processor, vector processor, digital signal processor (DSP), field programmable grid network (FPGA), a programmable logic assembly (PLA), an application specific integrated circuit (ASIC), a programmable logic circuit and a controller.

The term “coupled”, within the meaning of the invention, is understood to mean connected, directly or indirectly, with one or more intermediate elements. Two elements can be coupled mechanically, electrically or linked by a communication channel.

[0039] The expression "man-machine interface" within the meaning of the invention can in particular correspond to any element allowing a human being to communicate with a particular computer and without this list being exhaustive, a keyboard and means making it possible, in response to commands entered on the keyboard, to perform displays and possibly to select, using the mouse or a touchpad, elements displayed on a screen. Another exemplary embodiment is a touch screen making it possible to select directly on the screen the elements touched by the finger or an object and possibly with the possibility of displaying a virtual keyboard.

In the following description, the same references are used to designate the same elements. In addition, the different characteristics presented and/or claimed can be advantageously combined. Their presence in the description or in different dependent claims does not exclude this possibility.

Although there are more and more ways to study the physiological state of an individual, most methods focus only on one aspect, and are above all observational. Indeed, the studies of the prior art are either too general and therefore ill-suited or too specific to a pathology or a dysfunction. Thus, an individual must often call on one or more specialists, using several specialized devices.

To solve this problem, the applicant has developed a new system that can be used to perform in a single session all the measurements necessary to determine the physiological state of a user. Such a system allows physiological state parameter values to be defined automatically, in particular based on user mobility parameters, user morphology parameters and plantar morphology parameters of said user.

Thus, according to a first aspect, the invention relates to an electronic system 1 for analyzing the physiological state of a user.

[0044] As will be detailed, such a system can be used to generate information on the state of health of the user, the evolution of a pathology, the risk of developing a pathology, the effectiveness of a therapeutic treatment or advice on diet or advice on exercises to perform.

As illustrated in Figure 1, such an electronic system 1 will include: an acquisition device 10; a treadmill 20; at least one gait analysis device 30; one or more processors 40; and at least one data memory 70.

[0046] In addition, as will be detailed below, such an electronic system can include a man-machine interface 50 and communication means 60. In addition, it may be configured to establish communication with one or more presentation computing devices 80 and one or more third-party computing devices 90.

As has been indicated, an electronic system 1 according to the present invention comprises an acquisition device 10.

In particular, the acquisition device 10 may correspond to a depth detection camera, in particular a depth detection 3D camera. Thus, a depth-detection acquisition device 10 according to the invention could for example correspond to a picture-taking device capable of capturing three-dimensional data.

The acquisition device 10 could, for example, integrate laser profiling, fringe projection, stereo imaging and/or time-of-flight technology. The acquisition device 10 may also correspond to a scanner.

[0050] Depending on the technologies used, the acquisition device 10 may include one or more lenses, a color detector, and/or an infrared emitter, for example of the laser type.

[0051] Such an acquisition device 10 will advantageously be arranged to be able to generate one or more representations of a sole of the user's foot. An example of an image is illustrated in connection with FIG. 2. FIG. 2 represents an illustration of a representation of a sole of the foot 31 of the user associated with depth data. Thus, it will be possible to calculate from this representation the shape of the plantar arch 32 of the individual. This or these representations will preferably be associated with depth data.

The acquisition device 10 can also generate three-dimensional measurements of the user's two feet. It may in particular generate a three-dimensional representation of at least part of the user's feet. It could for example be arranged to generate one or more representations of the top of the user's foot. Such a three-dimensional representation including an image of the sole of the foot makes it possible to quickly extract relevant data for the calculation of sole parameter values such as the length, width, height of the instep, and possibly its geometric shape. . For example, the one or more images of a sole of the foot generated by a depth-detection image acquisition device may include at least one image produced when the user is standing. Similarly, the one or more images of a sole of the foot generated by the depth detection image acquisition device may include at least one image produced when the user is seated. Thus, it is possible to analyze the soles of the feet and more particularly the geometry of the arch of the foot when it is at rest and when the weight of the body presses on it. This makes it possible to improve the appreciation of the physiological state of the user. In order to facilitate this embodiment, the electronic recommendation system 1 according to the invention may comprise a support, preferably retractable, allowing the user to put himself in a seated position with his feet positioned so that the device A depth-sensing image acquisition device can generate one or more images of a sole of the foot when the user is seated.

Preferably, the acquisition device 10 can be positioned as shown in Figure 3 below a location on which the user is positioned in a standing position.

In addition, the acquisition device 10 may be associated with one or more force sensors. Such an association can make it possible to determine the center of pressure of the user and possibly the evolution of the center of pressure according to movements made by the user or during a measurement of static balance. Thus, the electronic system 1 will be able to calculate other values that may be useful in the context of the calculation of the values of parameters of the physiological state of the user.

Similarly, the depth detection acquisition device 10 can be associated with plantar support sensors. Such an association can make it possible to determine the distribution of pressures at the level of the user's feet and in particular according to plantar zones. Thus, the system will be able to calculate other values that may be useful in the context of calculating the values of the user's physiological state parameters.

The analysis of the plantar supports can be carried out by means of optical systems that can be easily coupled to the acquisition device 10 or even from resistive or capacitive systems.

The acquisition device 10 arranged for one or more representations of a sole of the user's foot may be supplemented by one or more other devices acquisition. Advantageously, the system according to the invention may include another acquisition device 11 which may also be arranged to generate one or more representations of at least part of the lower limbs. By lower limb is meant the part of the body going from the foot to the hip of the user. Thus, an acquisition device 11 will be able to generate one or more representations of the hip, of the knee(s), of the ankle(s), of the position of the hip or of the position of the knee(s) and/or of the position of the ankle(s). Preferably, the acquisition device 11 is arranged to generate movement kinematics of the user's lower limbs when walking or running on a treadmill 20. Advantageously, the acquisition device 11 may also be arranged to generate one or more representations of at least part of the upper limbs. By upper limb is meant the part of the body from the fingers to the shoulder. Thus, the acquisition device 11 will be able to generate one or more representations of the shoulder, the elbow, and/or the wrist. Preferably, the acquisition device 11 is arranged to generate movement kinematics of the user's upper limbs when walking or running on a treadmill 20. Advantageously, the acquisition device 11 can in addition to being arranged to generate one or more representations of the lower and upper limbs and to allow a representation of both the lower and upper limbs.

In addition, the electronic system 1 according to the present invention may include other measurement systems that provide information on the user making it possible to improve the relevance of the calculated physiological state parameter value or of the recommendation. generated. For example, the electronic system 1 may also include sensors allowing measurements selected from: the heart rate, the blood pressure, the weight, and/or the percentage of fat mass.

An electronic system 1 according to the present invention will also preferably include a treadmill 20.

[0061] Indeed, within the framework of its studies, the applicant has determined that several cycles of walks or races were necessary to properly analyze the mobility of a user. Indeed, the mobility data obtained from a single walking/running cycle, or from several walking/running cycles carried out over a short distance do not make it possible to obtain ideal mobility parameter values. The integration of a treadmill in the system according to the invention makes it possible to obtain movement data of the user's feet as well as movement data treadmill (eg running speed).

[0062] In particular, the treadmill 20 may be arranged to allow the user to walk or run. The treadmill 20 may be a motorized treadmill. Thus, it will be possible to configure the speed of running or walking to be as close as possible to the usual practices of the user. Alternatively, treadmill 20 may be a non-motorized treadmill.

[0063] In addition, the treadmill 20 may be arranged so as to be able to select an angle formed between the ground and the walking or running surface. Indeed, for certain activities it may be advantageous to be able to tilt the treadmill so as to impose on the user a predetermined walking or running angle with respect to the ground.

The presence of a treadmill 20 in the electronic system 1 according to the invention makes it possible to offer the user a walking and running ground. This makes it possible to determine the mobility parameters over a period and distance sufficient to identify the real and natural mobility of the person. Indeed, according to the applicant, it is desirable to have a certain number of step cycles to accurately determine the mobility parameters of a user in the context of a walk or a run.

[0065] Preferably, the treadmill 20 is configured to be controlled via a man-machine interface 50, for example accessible via a touch screen integrated into the electronic system 1 .

Such an embodiment is shown in Figure 3. Figure 3 illustrates in particular an electronic system 1 comprising an acquisition device 10, a conveyor belt 20 and a human-machine interface (HMI) 50.

[0067] Preferably, according to one embodiment of the invention, as illustrated in FIG. 3, the electronic system 1 has a part substantially parallel to the ground and a part substantially perpendicular to the ground. Obviously, the invention is not limited to a particular form of the electronic system 1 . However, preferably an electronic system 1 according to one embodiment of the invention has substantially an L-shape, when the latter is in contact with the ground. In addition, a system according to the invention integrates in the same physically integral assembly an acquisition device 10, a conveyor belt 20 and a man-machine interface (HMI) 50. [0068] Such an electronic system 1 can have different length, height or width, which makes it possible to be adapted to different users (large or small, young or older). For example, an electronic system 1 can have a height for its perpendicular part of between 50 cm and 200 cm, a length for its part parallel to the ground of between 50 cm and 200 cm. More generally, the electronic system 1 comprises a total length (ie length of the parallel part and of the perpendicular part) comprised between 70 cm and 200 cm. Finally, the part parallel to the ground preferably comprises a sufficient width to accommodate a treadmill 20.

Preferably, such an electronic system 1 has a part substantially parallel to the ground comprising the conveyor belt 20 and the acquisition device 10. Preferably, the part substantially perpendicular to the ground comprises the HMI 50. Advantageously, the connection zone between the part parallel to the ground and the part perpendicular to the ground comprises the acquisition device 10. Thus, an electronic system 1 according to the invention is an integrated system preferably comprising the acquisition device 10, the carpet wheel 20 and an HMI 50.

[0070] Thus, preferably, the acquisition device is arranged between the perpendicular part and the conveyor belt 20. This allows the electronic system to directly integrate an acquisition device 10 in connection with the conveyor belt 20 so as to generate one or more images of a sole of the user's foot, preferably associated with depth data and then allow the user to be able to run or walk on the treadmill 20 for example.

In addition, the acquisition device preferably comprises at least one block, more preferably at least two blocks arranged to each accommodate a foot of the user. Preferably, these blocks are arranged facing each other.

Advantageously, the image(s) of a sole of the foot can be viewed on the HMI 50. Furthermore, the HMI 50 is arranged in the upper part (i.e. far from the ground) of the part perpendicular to the ground of the electronic system. This facilitates the interaction and visualization of the user at his height.

[0073] In a particularly advantageous manner, the connection zone can comprise other devices, such as the presence of a support bar connecting the connection zone to the part perpendicular to the ground or the part parallel to the ground with the part perpendicular to the ground, in order to facilitate the balance of the user or the ascent on the electronic system 1 of the user for example. Preferably, these are two support bars each arranged on either side of the electronic system 1 in order to allow free access for the user to pass through the connection zone comprising the acquisition device 10 on the conveyor belt behind the connection zone, ie at the level of the parallel part. Other means of holding, stability, climbing, maintaining balance can also be provided.

As illustrated in Figure 3, the system may include another acquisition device 11 that can generate images, including images in the form of a video.

An electronic system 1 according to the present invention will also include at least one mobility analysis device 30.

A mobility analysis device 30 according to the invention may comprise one or more dedicated processors cooperating with one or more dedicated data memories, possibly one or more program memories, said memories possibly being dissociated. The processor or processors, as well as the data memory or memories are then preferably configured to cooperate so as to transform the movement data into mobility parameter values.

Alternatively, the motion data generated by the mobility analysis device(s) is sent to one or more processors of the electronic system 1 already involved in other functions and which are also configured to transform the motion data into mobility parameter values.

Advantageously, the mobility analysis device 30 will comprise at least one inertial platform and/or at least one pressure sensor. These sensors will in particular be configured to generate movement data when the user walks or runs on the treadmill 20.

Preferably, the user mobility parameters for which values are calculated by the electronic recommendation system 1 according to the present invention comprise: pronation/supination values, impact force values, step length values, contact time values, acceleration values, angular velocity values, sole orientation values, propulsion velocity, fatigue rate, Fick angle, propulsion direction, contact time duration, flight time duration and/or deceleration direction. Preferably, the user mobility parameters for which values are calculated by the electronic recommendation system 1 according to the present invention include pronation/supination values.

[0081] There are several embodiments for obtaining movement data from the user when he walks or runs on the treadmill 20.

The at least one mobility analysis device 30 may include pressure sensors and/or force sensors integrated into the treadmill 20 and configured to generate the user's movement data when the user walking or running on the treadmill 20. This embodiment makes it possible to have a follow-up of the plantar support of the user within the framework of exercises carried out on the treadmill 20. However, it does not make it possible to acquire movement data generated outside the treadmill 20.

According to a preferred embodiment, the at least one mobility analysis device 30 may comprise at least two soles integrating pressure sensors, the pressure sensors being configured so as to generate the movement data of the user once the soles used by the user. The advantage of this embodiment is that it is possible to configure the electronic system 1 so that it can take into account movement data generated by the user when he is not on the treadmill 20. However, the use of a removable insole could present problems of hygiene and robustness of the system.

According to a more preferred embodiment, the at least one mobility analysis device 30 comprises at least two electronic boxes 35 which include inertial platforms and which, once each coupled to a foot of the user , are configured to output user motion data. The electronic boxes 35 can thus be integrated into soles or simply be placed (via a system of clips) on an article of footwear (for example on the top of an article of footwear) that the user plans to buy or a calibration footwear. In addition, such devices make it possible to follow the kinetics of the foot during the oscillating phase. Thus, it is possible to base a sole or footwear recommendation at least on the basis of movement data generated during the oscillating phase.

As illustrated in Figure 4, the electronic boxes 35b can be integrated into a sole of an article of footwear. Nevertheless, electronic boxes 35a, 35c can also be configured so that they can be attached to an article of footwear. The positioning of an electronic box on an article of footwear may depend on the arrangement of the inertial platforms. An electronic box could for example be configured so as to be fixable on the back of an item of footwear or on the instep. For example, FIG. 4 illustrates an individual's foot coupled to inertial platforms positioned at three different locations: at the level of the buttress—electronic box 35a; in the outer or inner sole - electronic box 35b; or even on the front of the foot - electronic box 35c, for example at the level of the laces or the tongue. These various embodiments could be considered as indirect couplings, since the electronic box is not in contact with the foot of the user, but in contact with an article of footwear itself in contact with the foot of the user.

The electronic boxes 35 can also be positioned directly against the individual's foot. To illustrate this, Figure 4 also shows that the invention can be implemented from an electronic box 35d directly coupled to the foot of the individual. This coupling can use an adhesive material allowing the electronic box to be glued temporarily to the foot or even thanks to an accessory capable of holding the electronic box against the foot of the individual. Advantageously, this positioning can be maintained by means of adhesive materials, elastic bands or by any other means making it possible to fix the electronic box on the foot of the individual on an ad hoc basis (i.e. removable). The accessory may for example be elastic and take the form of an ankle brace or a strap.

Each electronic box 35 comprises an inertial platform which comprises for example at least one accelerometer and at least one gyroscope. Preferably, it comprises several accelerometers and several gyroscopes. More preferably, the inertial platform comprises at least one accelerometer (preferably 3-axis accelerometers) and at least one gyroscope (preferably 3-axis gyroscopes), and can be supplemented by other sensors. In particular, each electronic box 35 can also comprise one or more magnetometers so as to acquire three additional raw signals corresponding to the values of magnetic fields in three dimensions.

Each electronic box 35 may also include other sensors, in particular an inclinometer, a barometer, a temperature sensor, a humidity sensor and an altimeter to benefit from increased precision. Furthermore, the box electronics can be coupled to other sensors, for example distributed in a sole, such as pressure sensors or force sensors. In particular, the pressure and/or force sensors can include electrodes and be made of piezoelectric materials.

In addition, each electronic box 35 may include a data processing module configured to transform all the movement data generated using predefined algorithms. Thus, the electronic boxes 35 can be configured to process the signals generated by the inertial platform so as to facilitate subsequent processing by other processors of the electronic system 1 according to the invention. The processing module is advantageously configured to carry out a pre-processing of the data generated and possibly to carry out a sufficient processing to generate information on the mobility of the user, information that the electronic box transmits to another processor of the recommendation system, in time real or delayed.

The processing module of an electronic box 35 makes it possible to analyze in three dimensions the posture, the movements, the locomotion, the balance and the environment of the user, and more generally all that will be qualified as being his walk, from the data collected by the inertial platform and any additional sensors placed in a sole. In particular, the processing module can be configured to generate user mobility parameter values. Advantageously, the processing module is configured to transform the movement data into at least one user mobility parameter value.

[0091] In addition, an electronic box 35 may comprise means of communication. Thus, in particular, each of the electronic boxes is designed so as to be able to communicate independently with one or more other components of the electronic recommendation system 1 in order to be able, for example, to transmit its own information on the movement data of the foot to which it is coupled or user mobility parameter values.

[0092] In addition, the electronic box may include a power source. The energy source is preferably of the battery type, rechargeable or not. Preferably, the power source is a rechargeable battery. In addition, it can be associated with a charging system by movement or by external energy. The system for recharging by external energy can in particular be a system for recharging by wired connection, an induction or photovoltaic charging system. The electronic box 35 may include a rechargeable battery type energy source, the recharging of which may be carried out using different technologies: by charger, with a connector flush with the level of the sole; with a mechanical recharging device integrated into the sole, such as for example a piezoelectric device capable of supplying electrical energy from walking; with a contactless device, for example by induction; or with a photovoltaic device.

In addition, the electronic box 35 according to the invention may comprise a wired connection means, preferably protected by a removable tab. Such a tongue can preferably be made of a polymer of the elastomer or polyurethane type. This wired connection means can for example be a USB or firewire port.

Advantageously, the USB port is also resistant to water or humidity. This wired connection means can be used as mentioned above to recharge the battery, but also to exchange data and for example update the firmware of the electronic card carrying the various components of the electronic box.

An electronic system 1 according to the present invention will also comprise one or more processors 40. When the electronic system 1 comprises several processors 40, they may be arranged on the same electronic card of the electronic system or else be positioned on different electronic cards. For example, when the mobility analysis device 30 takes the form of two electronic boxes 35 then the electronic system 1 comprises at least three processors, two each positioned at the level of an electronic box 35 and at least one positioned at the level of a device integrating the treadmill 20 and the acquisition device. In addition, this or these processors 40 can be positioned on a server remote from the rest of the device integrating the treadmill and the acquisition device 10.

This or these processors 40 are generally coupled in a communicating manner to one or more data memories. Further, in a preferred embodiment, at least some of the processors are positioned on a remote computer server. They still belong to the recommendation system according to the invention, but are not integrated into the device integrating the treadmill 20 and the acquisition device 10.

This or these processors 40 are advantageously configured to execute instructions making it possible to implement all or part of the embodiments of the method according to the invention. [0097] In particular, they may be configured to calculate a plurality of parameter values. For this, this or these processors 40 can be configured to implement instructions based on business rules and predetermined repositories. However, the processor(s) 40 may also implement one or more correlation models. A correlation model could for example correspond to a mathematical model, in particular to an automatic learning model.

The automatic learning can be supervised or unsupervised learning. Thus, advantageously, the electronic system 1 according to the invention is configured to implement one or more algorithms. These algorithms may have been built from different learning models, including partitioning, supervised or unsupervised. The algorithm can be derived from the use of a supervised statistical learning model selected for example from kernel methods (e.g. Vast Margin Separators - Support Vector Machines SVM, Kernel Ridge Regression) described for example in Burges, 1998 (Data Mining and Knowledge Discovery. ATutorial on Support Vector Machines for Pattern Recognition), ensemble methods (e.g. decision trees) described for example in Brieman, 2001 (Machine Learning. Random Forests), k-means partitioning, trees decision-making, logical regression or the neural networks described for example in Rosenblatt, 1958 (The perceptron: a probabilistic model for information storage and organization in the brain) or even deep learning (Les methods a base kernels - Kernel Methods for Pattern Analysis Hardcover - Illustrated, Cambridge University Press, 2004; Machine learning techniques on ultra-low energy microcontrollers: TinyML, Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers, O'Reilly, 2020; Dimensionality reduction techniques for hyper-dimensional data, Topological Methods in Data Analysis and Visualization V: Theory, Algorithms, and Applications Mathematics and Visualization, Springer Verlag, 2020.).

In particular, the processor(s) 40 can be configured to calculate at least one plantar morphology parameter value of at least one foot of the user.

The calculation is done in particular from one or more representations generated by the acquisition device. Thus, the processor(s) 40 can be configured to implement image processing, for example by means of predetermined masks, predetermined rules or even a correlation model. allowing from an image to generate at least one plantar morphology parameter value. Advantageously, the processor(s) can be configured to calculate the at least one plantar morphology parameter value from at least one image taken when the user is standing and from at least one image taken when the user is sat.

The at least one plantar morphology parameter value may advantageously include at least one plantar arch parameter value. In particular, the at least one plantar morphology parameter value may include values of characteristics selected from among the length of the foot, the width of the foot, the height of the kick and geometric characteristics of the foot. Depending on the type of acquisition device used, the at least one plantar morphology parameter value may include temperature values of the sole of the foot.

Advantageously, the at least one plantar arch morphology parameter value includes: a plantar arch width value, a plantar arch height value, and/or an isthmus index value.

In particular, the processor(s) 40 can be configured to calculate at least one user mobility parameter value.

The calculation is done in particular from the movement data generated by the pressure sensors or the inertial platform. Thus, the processor(s) 40 may be configured to implement data processing, for example by means of predetermined rules, filtering or even a correlation model making it possible from a time series to generate at least one value of mobility parameter.

The mobility analysis device 30 can be configured to generate raw movement data from which it is possible to calculate values of mobility parameters. Such raw data can be sent directly to processors 40 which will then be configured to calculate the values of mobility parameters from the raw movement data received and to store them in a data memory. Provision may also be made for the raw movement data generated by a mobility analysis device 30 to be directly processed by the mobility analysis device 30.

[0106] Thus, the calculation of the at least one user mobility parameter value at starting from the movement data could be carried out by the same processor as that configured to calculate physiological state parameter values. Alternatively, the at least one user mobility parameter value may be calculated at the level of the at least one mobility analysis device 30. Advantageously, one or more plantar morphology parameter values may be used (s) to calculate the mobility parameter values. The parameters of plantar morphology that can be used are in particular the height of the instep, its inclination, and/or the general geometry of the foot. This can be useful for fine-tuning certain mobility parameters.

The calculation is done in particular from the movement data generated by the mobility analysis device 30. In addition, it is preferably done on the movement data generated when the user walks or runs on the treadmill 20.

However, advantageously, the processor(s) 40 can be configured to calculate at least one user mobility parameter value from movement data generated when the user performs movements outside the treadmill. 20.

[0109] Thus, advantageously, movement data acquired during a run or a walk can be supplemented by movement data generated in the context of a specific exercise that does not require a walk or a run on the treadmill 20.

[0110] The mobility parameter values calculated from movement data are generally generated in connection with identified biomechanical parameters of the user in a so-called dynamic position, that is to say that the user performs at least one movement.

[011 1] The values of mobility parameters can be determined from specific exercises carried out by the user. Such exercises are for example walking or running steps. Thus, a dynamic type mobility parameter value can represent a movement of a user such as, by way of non-limiting example, a "step" and a static type mobility parameter value can, advantageously, but not limited to, representing a “kneeling” type posture of a user. There are different types of exercises such as the step, the ascent of a step, the descent of a step, a stride, a jump, a flat, a static, a trampling, a kneeling... Therefore, it is possible to determine a plurality of values of mobility parameters from such exercises such as in particular the movement of the foot relative to a reference frame and thus measure the rotation of the ankle of the user and in particular the level of flexibility of the foot/ankle couple of the user. Other exercises to identify more information about ankle extension, flexion or rotation capabilities can also be implemented.

The mobility parameters can correspond to biomechanical parameters. Thus, the mobility parameters can be selected, for example, from: pronation/supination values, impact force values, step length values, contact time values, acceleration values, of angular velocity, orientation values of the sole, a propulsion velocity, a fatigue rate, a Fick angle, a contact time duration, a flight time duration, a propulsion direction and a direction of deceleration. Such parameters may also correspond to step length, contact time, flight time, lameness, propulsion force, balance and several other parameters relating to the user and describing their gait, postures and his movements.

[0113] In particular, the mobility parameters may comprise angles formed by the foot in a predetermined frame of reference. Referring to Figure 4, among the angles that can be used in the context of the invention, we can for example cite the strike angle corresponding to a measurement of the angle between the base of the foot and the ground at initial contact . This angle can continue to be measured during the attack phase of the step until the forward step phase. As illustrated, the angle 46 between the base of the foot 45 and the ground can also be measured during the propulsion phase.

Advantageously, the most relevant mobility parameters in the context of the present invention are the parameters of pronation and/or supination and/or lameness.

Even more preferably, the mobility parameters comprise at least: the impact force parameter, the pronation parameter and/or the supination parameter.

Advantageously, the electronic system 1 according to the invention is configured to calculate mobility parameter values from at least 10 repetitions of a movement, preferably from at least 15 repetitions and even more preferably at least 20 repetitions. Furthermore, the values of mobility parameters are calculated preferably from a selection of repetitions and take into account only 90% of the repetitions carried out by the user, more preferably than 85% of the repetitions carried out by the user and even more preferably than 80% of repetitions made by the user.

In particular, the processor(s) 40 can be configured to calculate at least one physiological state parameter value of the user. Preferably, the processor(s) 40 configured to calculate physiological state parameter values are not positioned in the device integrating the treadmill 20 and the acquisition device 10.

The calculation is done in particular from the at least one plantar morphology parameter value, the at least one morphological parameter value of the user and the at least one mobility parameter value. Thus, the processor(s) 40 can be configured to implement data processing, for example by means of predetermined rules or even a correlation model making it possible from a plurality of values to generate at least one parameter value d physiological state of the user.

Preferably, the calculation of the at least one physiological state parameter value of the user is done from the values of at least two plantar morphology parameters, more preferably from the values from at least three plantar morphology parameters, and even more preferably from the values of at least four plantar morphology parameters.

Preferably, the calculation of the at least one physiological state parameter value of the user is done from the values of at least two mobility parameters, more preferably from the values d at least three mobility parameters, and even more preferably from the values of at least four mobility parameters.

Preferably, the calculation of the at least one physiological state parameter value of the user is done from the values of at least two morphology parameters of the user, more preferably from the values of at least three user morphology parameters, and even more preferably from the values of at least four user morphology parameters.

The at least one user physiological state parameter value may include mobility score values, a pathological risk score, a pathology development score and/or a particularly therapeutic treatment. Further, the one or more processors may be configured to generate one or more recommendations based on the at least one calculated physiological state parameter value. The electronic system 1 can then include a man-machine interface configured to display the recommendation(s).

In one embodiment, the electronic system 1 according to the invention can be configured to acquire information relating to the activity of the user. This information relating to the user's activity may correspond to activity parameter values. The activity parameter values may correspond to activities that the user performs most frequently (e.g. basketball, tennis, short running hikes, long running, urban walking, etc.).

In particular, the electronic system 1 can be configured to acquire a user activity parameter value. The value of user activity parameters may correspond to the activity or activities that the user mainly performs and/or plans to perform. Preferably, when calculating physiological state parameter values, the electronic system 1 according to the present invention will be able to take into consideration these activity parameter values used to best define the physiological state parameter values.

The electronic system 1 according to the invention may further comprise a man-machine interface 50 indicating to the user specific exercises to be performed, in particular on the treadmill 20, said specific exercises being determined according to one or more user activity parameter values. Advantageously, the system will be configured so that the at least one calculated mobility parameter value used to calculate the physiological state parameter values is calculated from movement data generated during the performance of the specific exercises by the user. .

In addition, the electronic system 1 can be configured so that the calculation of the physiological state parameter values takes into account the user's plantar support values or even center of pressure displacement values.

Advantageously, the electronic system 1 can be configured so that the calculation of the physiological state parameter values takes into account the morphological parameter values of the user. The morphological parameters of the user could for example correspond to weight and/or height. Preferably, the morphological parameters of the user include the weight of the user. Advantageously, the electronic system 1 can be configured so that the calculation of the physiological state parameter values takes account of the user profile parameter values. The user's profile parameters may, for example, correspond to gender, age, specific pathologies such as diabetes, etc.

[0130] For example, provision is made for the user to be able to indicate, in the context of entering his profile parameter information, one or more pathologies having an influence on his mobility, or more generally any physical failure involving difficulties to move. Such a pathology or such a physical failure can be selected via a list through the dedicated application or can be entered in a dedicated field. Such pathology or physical failure may consist of, but is not limited to, joint problems in one or more of the user's limbs, hallux valgus, hallux rigidus, claw toe ("hammer toe") ), a bunionette, Morton's syndrome, 2nd ray pain syndrome, intermetatarsal bursitis, sesamoidopathies, tendinopathies or any physical injury affecting the user's mobility or more generally the gait.

As mentioned, the electronic recommendation system 1 can be coupled with many other sensors and the calculation of the physiological state parameter values can advantageously take into account other values associated with the user such as : his heart rate, his blood pressure, his weight, his percentage of fat mass, etc... These values will enrich the algorithm and will provide more precise information and even information on the evolution of the health of the person.

The processor(s) 40 can also be configured to generate one or more sole recommendations from at least one physiological state parameter value. An electronic system 1 may advantageously not be limited to proposing soles as such, but it may be configured to propose the most suitable articles of footwear obviously integrating a sole.

Further, the one or more processors are configured to generate one or more recommendations based on the at least one calculated physiological state parameter value.

[0134] Recommendations can take several forms such as advice on exercises adapted to the physiological state of the user, or advice on his diet or advice relating to increased pathological risks. Preferably, the recommendation or recommendations comprise a training program comprising one or more exercises to be performed in order to improve technique, or reduce the risk of injury.

The generation of a recommendation is done in particular from at least one physiological state parameter value. Thus, the processor(s) 40 can be configured to implement data processing, for example by means of predetermined rules, a repository or even a correlation model, making it possible to generate a recommendation from one or more values physiological state parameter. In particular, the processor(s) 40 can be configured to generate a recommendation from one or more repositories establishing a relationship between one or more physiological state parameter values. Depending on the values of the parameters mentioned, in particular the values of physiological state parameters, the processor(s) 40 may for example prioritize recommendations.

[0136] A recommendation can also include a training program comprising one or more exercises to be done to improve technique, or reduce the risk of injury, etc.

In particular, the generation of a recommendation may directly or indirectly take into account an activity parameter value so that the recommendation is adapted to the activities/habits of the user.

Furthermore, in a preferred embodiment, all or part of the processors are positioned on a remote computing device. They still belong to the electronic analysis system according to the invention, but are not integrated into the device integrating the treadmill 20 and the acquisition device 10. A remote computer device can correspond to a remote computer server integrated into the electronic system 1 according to the invention or else to a third-party computing device. Preferably, at least some of the processors are positioned on a remote computer server. The at least part of the processors positioned on a remote computer device can be configured to communicate with the device integrating the treadmill 20 and the acquisition device 10. Preferably, the at least part of the processors positioned on a remote computer device communicates with the device incorporating the treadmill 20 and the acquisition device 10 through a long-range communication network R1 of the Internet, LoRa or Sigfox type or any other equivalent communication network.

Thus, the at least part of the processors positioned on a remote computer device can be configured to execute instructions making it possible to implement all or part of the embodiments of the method according to the invention. In particular, the at least part of the processors positioned on a remote computer device which can be configured to receive data, and/or images and/or parameter values. Furthermore, the remote computing device can then be configured to store and process the data, images and/or parameter values received. Alternatively, the remote computing device may be configured to calculate a plurality of parameter values, preferably as detailed below.

Thus, the at least part of the processors positioned on a remote computer device can be configured to carry out all or part of the parameter value calculations as described below. The electronic system 1 can then be configured to receive the calculated parameter values. In addition, the electronic system 1 can be configured to display the parameter values, preferably by means of the man-machine interface. Thus, as described above, the man-machine interface can be configured to display the recommendation(s).

An electronic system 1 according to the present invention may also comprise one or more means of communication 60. The means of communication 60 will be configured to communicate through a long-range communication network R1 of the Internet type, LoRa or Sigfox or any other equivalent communication network.

Thus, an electronic system 1 according to the present invention can advantageously communicate with other computer devices, such as a presentation computer device 80 or a third-party computer device 90 (e.g. a computer server).

An electronic system 1 according to the present invention may also comprise one or more data memories 70. A data memory 70 according to the invention may for example correspond to a non-ephemeral storage medium, readable by a processor, which stores in particular instructions executable by a processor. The data memory 70 can cooperate with the processor(s) 40 by means of internal communication buses. Data memory 70 can be partially or entirely electrically erasable in order to be updated.

[0144] As illustrated in Figure 1, an electronic system 1 according to the present invention may be coupled to a presentation computer device 80.

The presentation computing device 80 can be configured to receive raw or preprocessed data, generated by the electronic system 1 according to the present invention. The presentation computing device 80 is generally a tablet or a mobile smart phone (“smartphone” in Anglo-Saxon terminology).

Advantageously, a dedicated application is installed on the presentation computer device 80 in order to process the information transmitted by the electronic system 1 according to the present invention and to allow the user to interact with the system within the framework of the recommendation. . In particular, the user will be able to consult at least some of the parameter values generated by the electronic system 1 according to the present invention. Thus, the electronic system 1 according to the present invention can be associated, preferably coupled directly or indirectly, to a computer presentation device 80. The computer presentation device 80 could for example correspond to a device associated with the user such as a cellphone.

Thus, the user will be able to find, for example via a personal account, information on his mobility, plantar morphology and his physiological state parameters.

As illustrated in FIG. 1, an electronic system 1 according to the present invention could be coupled to a third-party computing device 90. The third-party computing device 90 could for example host repositories used when calculating parameter values.

Furthermore, a third-party computing device 90 can be separate from the electronic system 1 . Thus, an electronic system 1 can be coupled to a third-party computer device 90.

[0150] Advantageously, a third-party computing device 90 can be configured to communicate with the electronic system 1 . Preferably, the third-party computer device 90 communicates with the electronic system through a long-range communication network R1 of the Internet, LoRa or Sigfox type or any other equivalent communication network.

[0151] According to an alternative, the third-party computer device 90 can comprise one or more processors 40. Thus, a third-party computer device 90 can be configured to execute instructions making it possible to implement all or part of the embodiments of the method according to the 'invention. In particular, third-party computing device 90 may be configured to calculate a plurality of parameter values. Thus, a third-party computing device 90 can be configured to perform all or part of the parameter value calculations as described previously. The electronic system 1 can then be configured to receive the parameter values. In addition, the electronic system 1 can be configured to display the parameter values, preferably by means of the man-machine interface.

Thus, the invention can also correspond to an electronic system coupled to a third-party computer device, and configured to receive calculations or parameter values as described previously.

[0153] Furthermore, the electronic system 1 can include at least one physiological sensor. A physiological sensor can be configured to generate physiological parameter values of the user, in particular when the user walks or runs on the treadmill 20. Physiological parameters can for example include heart rate, blood pressure, body temperature , respiratory rate, partial oxygen saturation.

Such a system can be used in other applications. It is particularly unique due to the presence of at least one acquisition device 10 arranged to generate one or more images of a sole of the foot, of a treadmill 20 and of a mobility analysis device capable to degenerate movement data in particular when the user runs or walks on the treadmill.

According to a second aspect, the invention relates to a method 100 for analyzing the physiological state of a user.

In particular, the method 100 for analyzing the physiological state can be implemented by an electronic system 1 according to the present invention. Alternatively, the method 100 for analyzing the physiological state can be implemented by any device comprising one or more processors 40 coupled to a data memory.

Preferably, a method 100 for analyzing the physiological state according to the present invention comprises steps corresponding to the functionalities described above of the electronic system 1 for analyzing the physiological state according to the present invention, and its different embodiments, preferred, advantageous or not.

In particular, as illustrated in FIG. 5, a method 100 for analyzing the physiological state will include the steps of calculating at least one plantar morphology parameter value 110; calculating the mobility parameter values 120 of the user; calculation of at least one physiological state parameter value 130.

In addition, it may include a step 140 for generating one or more recommendations from at least one physiological state parameter value.

In particular, a method 100 for analyzing the physiological state comprises a step of calculating at least one plantar morphology parameter value 110 of at least one foot of the user. This calculation is in particular carried out from one or more representations of a sole of the foot 31 of the user. Such an image may in particular correspond to an image generated by an acquisition device 10.

Preferably, the at least one plantar morphology parameter value includes at least one plantar arch parameter value.

In particular, a method 100 for analyzing the physiological state comprises a step of calculating the values of the mobility parameter 120 of the user.

[0163] This calculation is in particular carried out on the basis of the movement data generated when the user is walking or running.

These movement data may in particular correspond to movement data generated by at least one mobility analysis device 30, the at least one mobility analysis device 30 comprising at least one inertial platform and /or at least one pressure sensor.

In particular, a method 100 for analyzing the physiological state comprises a step of calculating at least one physiological state parameter value 130.

This calculation is in particular carried out from the at least one morphological parameter value of the user, at least one plantar morphology parameter value and at least one mobility parameter value.

[0167] In particular, a method 100 for analyzing the physiological state may comprise a generation step 140 of one or more recommendations.

This calculation is in particular carried out from the at least one calculated physiological state parameter value.

The method 100 according to the invention as well as the electronic system 1 according to the invention advantageously implement steps of calculation and generation of recommendations.

As has been described, these calculated or generated values may be calculated by one or more processors 40. This or these processors may be configured to implement instructions based on business rules and predetermined repositories.

However, the processor(s) 40 may also implement one or more correlation models. A correlation model may for example correspond to a mathematical model, in particular to an automatic learning model.

The machine learning model is selected from a supervised, unsupervised or reinforcement machine learning model.

The invention may be the subject of numerous variants and applications other than those described above. In particular, unless otherwise indicated, the various structural and functional characteristics of each of the implementations described above should not be considered as combined and/or closely and/or inextricably linked to each other, but on the contrary as simple juxtapositions. In addition, the structural and/or functional characteristics of the different embodiments described above may be the subject, in whole or in part, of any different juxtaposition or any different combination.

Claims

37 Claims

1 . Electronic system (1) for analyzing the physiological state of a user comprising:

- At least one acquisition device (10) arranged to generate one or more representations of a sole of the user's foot, said representation or representations being associated with depth data of the arch of the foot;

- A treadmill (20) arranged to allow the user to walk or run on said treadmill;

- At least one mobility analysis device (30) comprising at least one inertial platform and/or at least one pressure sensor configured to generate movement data when the user walks or runs on the treadmill ;

- At least one data memory (70) configured to memorize the one or more representations of a sole of the foot, the movement data and at least one morphological parameter value of the user;

- One or more processors (40) configured to: o Calculate, from the one or more generated representations, at least one plantar morphology parameter value of at least one foot of the user; o Calculating at least one user mobility parameter value from motion data generated when the user walks or runs, preferably on the treadmill; o Calculate at least one physiological state parameter value from the at least one morphological parameter value of the user, at least one plantar morphology parameter value and at least one mobility parameter value. Electronic system (1) according to claim 1, characterized in that the one or more processors (40) are further configured to generate one or more recommendations as a function of the at least one calculated physiological state parameter value and of preferably in that it includes a man-machine interface configured to display the recommendation(s). 38 Electronic system (1) according to one of claims 1 or 2, characterized in that the physiological state parameters are selected from: a health score, a pathological risk score, a pathology evolution score and/or or a therapeutic treatment efficacy score. Electronic system (1) according to any one of Claims 1 to 3, characterized in that the one or more processors are further configured to calculate physiological state parameter values by further taking into account at least one value of user profile parameters, said user profile parameters possibly comprising gender, age, and/or a pathology affecting the user. Electronic system (1) according to any one of Claims 1 to 4, characterized in that the system comprises at least one physiological sensor configured to generate physiological parameter values for the user, in particular when the user walks or runs on the treadmill (20), and in that the one or more processors (40) are further configured to calculate physiological state parameter values further taking into account at least one generated physiological parameter value, said parameter physiologic, which may include heart rate, blood pressure, body temperature, respiratory rate, and/or partial oxygen saturation. Electronic system (1) according to any one of the preceding claims, characterized in that the representation(s) of a sole of the user's foot comprise a three-dimensional representation of at least a part of the user's foot , preferably from the arch of the foot. Electronic system (1) according to any one of the preceding claims, characterized in that the representation(s) of a sole of the user's foot comprise at least one representation produced when the user is standing and at least one representation produced when the user is seated and in that the one or more processors are further configured to calculate the at least one value of plantar morphology parameters from at least one representation made when the user is standing and at least one representation produced when the user is seated. Electronic system (1) according to any one of the preceding claims, characterized in that the at least one morphology parameter value includes a foot arch morphology parameter value selected from: a foot arch width value, a arch height value, and/or an isthmus index value. Electronic system (1) according to any one of the preceding claims, characterized in that the processor or processors are further configured to calculate the physiological state parameter values by further taking into account at least one user activity. Electronic system (1) according to any one of the preceding claims, characterized in that the electronic system further comprises a man-machine interface indicating to the user specific exercises to be carried out, in particular on the treadmill, said specific exercises being determined as a function of at least one value of activity parameters, of morphological parameters and/or of user profile parameters; and the electronic system being configured so that the at least one calculated mobility parameter value used to calculate the physiological state parameter values is calculated from movement data generated during the performance of the specific exercises by the user . Electronic system (1) according to any one of the preceding claims, characterized in that the at least one mobility analysis device (30) comprises pressure sensors and/or force sensors integrated into the treadmill ( 20), and which are configured to generate user motion data as the user walks or runs on the treadmill (20). Electronic system (1) according to any one of the preceding claims, characterized in that the at least one acquisition device comprises a depth detection camera, in particular a depth detection 3D camera. Electronic system (1) according to any one of the preceding claims, characterized in that the at least one acquisition device comprises an image acquisition device arranged to generate one or more representations of the lower limbs, preferably arranged to generating motion kinematics of the user's lower limbs when walking or running on the treadmill. Electronic system (1) according to any one of the preceding claims, characterized in that the at least one mobility analysis device (30) comprises at least two electronic boxes (35) each comprising an inertial platform and which, once each coupled to a foot of the user, are configured to generate the movement data of the user. Electronic system (1) according to any one of Claims 1 to 13, characterized in that the at least one mobility analysis device comprises pressure sensors and/or force sensors integrated in the treadmill, and which are configured to generate user motion data when the user walks or runs on the treadmill. Electronic system (1) according to any one of the preceding claims, characterized in that the one or more processors (40) are furthermore configured to calculate values of the user's physiological state parameter taking further into account :

- at least one user profile parameter value, said user profile parameter possibly including gender, age, and/or a pathology affecting the user;

- at least one physiological parameter value of the user, said physiological parameter of the user possibly comprising the heart rate, the pressure blood pressure, body temperature, respiratory rate, and/or partial oxygen saturation. Electronic system (1) according to any one of the preceding claims, characterized in that it comprises a remote computing device, said remote computing device comprising part of the one or more processors, and being configured to communicate with a device integrating the mat wheel (20) and the acquisition device (10), preferably by a communication network. Method (100) for analyzing the physiological state of a user implemented by one or more processors (40) coupled to at least one data memory (70) configured to store one or more representations of a plant of foot, movement data generated when the user walks or runs, and at least one morphological parameter value of the user, said method comprising the following steps:

- Calculating (110), from the one or more representations of a sole of the user's foot generated by an acquisition device (10), at least one plantar morphology parameter value of at least one foot of the user, said representation(s) being associated with arch depth data;

- Calculate at least one mobility parameter value (120) of the user from movement data generated when the user walks or runs, said movement data having been generated by a mobility analysis device (30 ), the at least one mobility analysis device (30) comprising at least one inertial platform and/or at least one pressure sensor; And

- Calculating at least one physiological state parameter value (130) from the at least one morphological parameter value of the user, at least one plantar morphology parameter value and at least one mobility parameter value. Method (100) for analyzing the physiological state of a user according to the preceding claim, characterized in that it further comprises a step, implemented by the one or more processors (40), of generating (140 ) of one or more recommendations from the calculated physiological state parameter values.