WO2009118399A2

WO2009118399A2 - Method of evaluating health and/or fitness, corresponding device and computer program product

Info

Publication number: WO2009118399A2
Application number: PCT/EP2009/053637
Authority: WO
Inventors: Olivier Lavastre
Original assignee: Universite De Rennes 1; C.N.R.S.
Priority date: 2008-03-26
Filing date: 2009-03-26
Publication date: 2009-10-01
Also published as: FR2929427B1; FR2929427A1; CH701053B1; WO2009118399A3; TWI528939B; TW200946078A

Abstract

The invention relates to a method of evaluating the state of health and/or of fitness of a person, implementing on the one hand a plurality of sensors of a physiological measurement and on the other hand a plurality of sensors of at least one ambient parameter. According to the invention, the method comprises the following steps: - choice of a type of evaluation, by a user, from among at least two available types of evaluation; - predetermined selection of a subset of said sensors, as a function of the type of evaluation chosen; - determination of a set of indicators, each representative of a temporal evolution over a period of several minutes to several days of data measured by one of the sensors of said subset; - determination of a global cue by summing said indicators, after normalization, making it possible to detect an anomaly and/or a gradual drift that may eventually lead to a degradation of the state of health of the person.

Description

A method of evaluating health and / or form, device and corresponding computer program product.

1. Field of the invention

The invention relates to the field of monitoring and control of the state of health and / or fitness of a person.

More specifically, the invention relates to the control of, and where appropriate the aid to diagnosis of, the evolution of the state of health and / or shape of a person based on data from multi-sensors.

2. Prior art The methods and / or devices for monitoring changes in the state of health and / or fitness of people are the subject of a very strong societal demand. For the detection of rapid changes in the physiological state and / or the physical integrity of persons (for example in the case of a fall, cardiac malaise, respiratory apnea, sudden death of the infant, total absence of movement, .. .), many devices for detection and early warning have been proposed.

For example, the patent application FR 2,857,140 discloses a wristwatch used for monitoring a physiological parameter of the wearer with the triggering of an alarm when an anomaly is detected. This device is effective for example in case of fall of the wearer, but does not allow the detection of an anomaly corresponding to a slow evolution of the state of health or shape of the wearer.

Patent application WO 2007/036748 discloses a dressing capable of transmitting data relating to the heart rate (and possibly to other physiological parameters) of a patient wearing the dressing to a portable communication module (PDA type for example) , and eventually to a computer / remote server, for an analysis of these data by a specialist and the generation of an alarm for example.

The patent application WO 2005/006968 describes the use of a portable electronic device (such as a razor, a toothbrush or a mobile phone) capable of measuring a physiological parameter of a user and displaying the results of the analyzing the data or transmitting it to a remote device.

A disadvantage of these devices is that the data processing only takes into account the variations of the measured physiological parameters. Thus, the result of the analysis may in some cases be wrong because it does not take into account the context in which the measurements took place. As the inventor observed in the course of his research, an evolution may seem alarming in an intrinsic way, when in fact it is normal, because of a particular situation that can not be restored physiological sensors. This can have unfortunate consequences since, in some applications, an unnecessary decision (if not counterproductive or even dangerous) is taken, such as an alarm generation, resulting in the unnecessary implementation of backup means.

There is therefore a need for a device that responds to this problem, and that makes it possible to detect slower variations or changes in the state of health and / or shape of a person, particularly in those cases where there is no no alarming or abrupt symptoms that are easy to detect, taking into account the context in which the measurements take place.

Moreover, the known systems, for example in a medical environment, for a diagnosis over a few hours or days, deliver a set of complex measures that only an experienced doctor can interpret. 3. Objectives of the invention The invention particularly aims to overcome these disadvantages of the prior art.

More specifically, an objective of the invention is to enable, in at least one embodiment, the monitoring of slow changes in the state of health and / or shape of a person, particularly in those cases where there is There are no alarming or abrupt symptoms that are easy to detect, taking into account the context in which the measurements take place.

Another objective of the invention is, in at least one embodiment, to provide a technique that limits the risk of errors in the assessment of the state of health and / or of shape, and to avoid as much as possible it is possible the generation of false alarms.

The invention also aims, in at least one embodiment, to prevent and anticipate an alteration of the state of health and / or shape of a person. Yet another object of the invention is, in at least one embodiment, to provide simple and effective information, not requiring the intervention of a specialist to be interpreted.

4. Summary of the invention

These objectives, as well as others that will appear later, are achieved by means of a method of evaluating the state of health and / or shape of a person implementing on the one hand a plurality of sensors of a physiological measurement and secondly a plurality of sensors of at least one ambient parameter.

According to the invention, the method comprises the following steps: - choosing a type of evaluation, by a user, from among at least two types of evaluation available; predetermined selection of a subset of said sensors, depending on the type of evaluation chosen; determining a set of indicators, each representative of a time evolution over a period of several minutes to several days of data measured by one of the sensors of said subset; determination of global information by summation of said indicators, after normalization, to detect an anomaly and / or non-abrupt drift may eventually lead to an alteration of the health of the person. Thus, the invention uses the measurements of a combination of physiological sensors and ambient sensors for monitoring and evaluating the state of health and / or shape of a person. An anomaly and / or non-abrupt drift that may eventually lead to an alteration of the person's state of health may be detected by the implementation of a simple and effective global information, not requiring the intervention of a specialist to be interpreted.

This global information is obtained by summation of indicators, after normalization, each representative of a time evolution, over a period of several minutes to several days, of data measured by a subset of predetermined physiological and ambient sensors. The use of measurements of a combination of physiological sensors and ambient sensors makes it possible to take into account the context in which the measurements of physiological data on the person take place, by measuring the variations of one or more ambient parameters.

Such a technique makes it possible to weight the measurements resulting from the physiological sensors, and thus to avoid that the result of the analysis of the measured data is erroneous. For example, an alarming progression of a physiological parameter in a person (increased heart rate) may be normal and be explained by a particular environment, such as a higher than normal temperature of the ambient air. Likewise, the result of analyzing a measurement of an athlete's heart rate during the effort depends on the particular situation in which the measurement takes place. Thus, the analysis of a value relating to the heart rate of an athlete during a physical activity on a predetermined course will not be the same depending on whether the athlete starts the course or is about to finish, or that the sportsman climbs a collar or evolves on a flat portion.

In another example of implementation of the invention, the morphology of the person is taken into consideration when analyzing a value relating to the weight of a person. A weight gain will then be analyzed as non-critical when it comes to a rickety person. Conversely, an increase in weight will be analyzed as an anomaly, which could eventually lead to the alteration of the state of health of this person, when it is an obese person.

The technique of the invention thus makes it possible to limit the risks of error and to avoid the generation of false alarms on the state of health and / or shape of a person, taking into account the circumstances and ambient conditions, and where appropriate physiological, which surround a measurement of a physiological value.

Unlike the prior art whose objective is to detect a rapid change in a person's state of health, the invention makes it possible to detect slower variations or changes in the state of health and / or in shape. of a person, especially when there are no abrupt excesses of his state of health and / or shape. This approach makes it possible to monitor a person's state of health and / or fitness and to prevent or anticipate a problem.

According to one particular embodiment of the invention, the measurement of physiological and / or ambient data is carried out in a continuous, pseudo-random manner for a predetermined period of time or a predetermined distance, and / or during a test protocol. predefined.

Thus, the measurement of physiological and / or ambient data can be carried out continuously, pseudorandomly, at regular intervals, for a predetermined period of time or a predetermined distance or during a predefined test protocol.

This makes it possible to adjust the accuracy of the measured data and therefore the analysis of the data. According to an advantageous aspect of the invention, the method further comprises a step of storing the measured data in at least one database.

In addition to the possibility of analyzing the measured data in real time, the storage in a database of the physiological data and the measured ambient data allows a delayed analysis of these data. According to a preferred implementation, the global information can be represented using a visual indicator, sound and / or tactile.

The invention makes it possible to provide the user with simple information on his state of health and / or of shape by means of a visual, audible and / or tactile indicator. Thus, advantageously, the interpretation of all the measures does not require the intervention of a specialist, such as a health professional or physical activity. The information delivered to the user can be a emergency stimulus that alerts the user and suggests that he seek immediate medical attention or to slow or even interrupt his current physical activity.

Advantageously, the method comprises a step of remotely transmitting said result of the global information, and possibly indicators and / or at least part of the measured data, to a health professional. This aspect of the invention allows remote monitoring and control by a physician of the state of health and / or shape of a person and possibly a diagnostic aid on the evolution of the state of health and / or form. Thus, in the event that an anomaly is detected during the analysis of the overall information, the physician can access additional information quickly and perform a more detailed analysis of the transmitted measurement data to determine the causes of the anomaly. . For example, he can deduce the onset of a gait imbalance in a person on the basis of left foot / right foot measurements, detect symptoms of a heart attack or dehydration.

In some cases, remote transmission of such data to a health professional may be mandatory.

According to a particular embodiment of the invention, the method comprises a step of performing, by said person, at least one imposed exercise, before said step of measuring at least one value of at least one physiological parameter.

This predefined exercise can be a walk a predetermined distance on a treadmill for example or any other known physical test. Such an exercise prior to the measurement of at least one physiological parameter makes it possible to improve the accuracy of the analysis of the measured data and the detection of an anomaly and / or non-abrupt drifts. Indeed, the measured data can be compared with previously measured data (which are stored in a database for example) following the or during the same imposed exercise.

According to another particular embodiment of the invention, the method comprises a step of selecting at least one parameter of a physical activity, and a step of determining a future optimum rhythm to be adopted during the physical activity. taking into account the global information and possibly the indicators and / or at least part of the measured data, and one or more selected parameters. The method of the invention thus makes it possible to determine a future optimum rhythm to be adopted by the person during a physical activity, outdoors, for example, on the basis of the measured physiological and ambient data, and at least one parameter a physical activity, such as the distance remaining, the difficulties of the course remaining to be tackled, the strength of the wind, etc. Such a parameter is for example pre-recorded in at least one database of the device, the stored data may for example include the profile of the course, or personal data such as the heart rate of the person according to his standard speed on the flat or according to its standard climbing speed. The determination of an optimum rhythm is preferably carried out in real time. Information representative of the optimum optimum rhythm can be delivered to the person in the form of a visual instruction of the type "slow down or" speed up ". This makes it possible to avoid the risks engendered by the practice of a physical activity in over-revving (dehydration, loss of vigilance) or at a too slow pace (excessive duration of the activity). Advantageously, the one or more physiological parameters belong to the group comprising: body temperature; heart and respiratory rhythm; - the electrocardiogram; pace and amplitude of steps; blood pressure ; weight and / or percentage of fat, water, muscle and / or bone mass; - the rate of oxygenation; the foot support force; the dissymmetry left - right.

Advantageously, the ambient parameter or parameters belong to the group comprising: the degree of humidity of the ambient air; the ambient air temperature; the daily amplitude of the ambient air temperature; the content of CO ₂ and / or volatile molecules in the ambient air; the noise level; - the degree of brightness; the strength and direction of the wind; altitude distance traveled and remaining height difference (positive and / or negative) traveled and remaining - speed of movement (actual and ascent) Another aspect of the invention relates to a device for evaluating the state of health and / or shape of a person comprising means for measuring and / or receiving data delivered via a part of the device. a plurality of sensors of a physiological measurement and secondly of a plurality of sensors of at least one ambient parameter.

According to the invention, such a device further comprises: means for selecting a type of evaluation, by a user, from among at least two types of evaluation available; predetermined selection means of a subset of said sensors, depending on the type of evaluation chosen; means for determining a set of indicators, each representative of a time evolution over a period of several minutes to several days of data measured by one of the sensors of said subset; means for determining global information by summing said indicators, after normalization, making it possible to detect an anomaly and / or non-abrupt drifts which may ultimately lead to an alteration of the state of health of the person.

Thus, the device of the invention comprises a plurality of sensors (or other peripherals) that can be worn by the person but also be arranged in its close environment (workplace, home). The device may further comprise a portable central device (watch, bracelet, pendant, mini-case) capable of analyzing the data measured by the sensors in order to detect an anomaly and / or non-abrupt drifts which may eventually lead to an alteration of the state of health and / or fitness of the person. According to a particular embodiment of the invention, the device comprises at least one database of measured data.

According to another particular embodiment of the invention, the device comprises a visual, audible and / or tactile indicator of the state of form and / or health of the person.

Such an indicator can be integrated into the portable central device and comprises for example a scale from 0 to 100 to indicate the state of form and / or health of the person.

Advantageously, the device comprises means for transmitting remote global information, and possibly at least a portion of the measured data, to a health professional.

Thus, the analysis of the data measured by the device and the source data from the sensors can be transmitted remotely (in a secure manner preferably) from the portable central device to a health professional (doctor, hospitals, ..). Such an implementation allows a fine analysis of the data and constitutes a diagnostic aid on the evolution of a person's state of health and / or shape.

Yet another aspect of the invention relates to a computer program product downloadable from a communication network and / or stored on a computer readable medium and / or executable by a microprocessor, characterized in that it comprises code instructions program for implementing the method described above. 5. List of figures

Other characteristics and advantages of the invention will emerge more clearly on reading the following description of an embodiment. particular, given by way of a simple illustrative and nonlimiting example, and the appended drawings, among which:

Figs. 1A and 1B are schematic diagrams of the invention;

Figure IC schematically shows the device of the present invention according to one embodiment;

Figure ID details the main steps of the method of assessing the state of health and / or shape of a person according to one embodiment of the invention;

Figure 2 depicts an exemplary algorithm (algorithm A) for transforming data from multiple sensors into a visual indicator in the form of a histogram;

Figure 3 shows an example of a database derived from measurements of several physiological sensors;

FIG. 4 illustrates an example of a visual indicator in the form of a histogram, derived from the database presented in relation with FIG. 3;

FIG. 5 illustrates an example of an algorithm (algorithm B) that can lead to a simultaneous evaluation of several indicators to obtain global information;

FIG. 6 represents an example of color histogram resulting from algorithm B for physiology indicators;

FIG. 7 shows an exemplary global indicator resulting from the sum of all the sensors relating to the physiological indicator of FIG. 6;

FIGS. 8A to 8D show examples of visual information on the overall state of health (FIG. 8D) resulting from the sum of three global indicators of physiology (FIG. 8A), cardiorespiratory (FIG. 8B) and locomotion (FIG. 8C); Figure 9 shows an example of an abnormal change in the resting pulse of a person over a given period of time;

FIGS. 10A and 10C show other examples of variation of measurements from "cardio" type sensors (for a given protocol) and of locomotion sensors with corresponding global indicators in FIGS. 1B and 1OD;

FIGS. 11 to 13 show an example of the variation as a function of time of data recorded by sensors for measuring the quality of the indoor air, such as the temperature (FIG. 11), the humidity level (FIG. 12) and the CO2 level (Figure 13);

Figure 14 depicts an example algorithm for tracking the real-time fitness status of a person;

Figure 15 is an example of personal databases of a person's heart rate based on their flat speed or rate of climb;

Figure 16 shows an example of a route for which altitude is represented as a function of distance;

Figure 17 depicts another example of algorithm C.

6. DESCRIPTION OF AN EMBODIMENT OF THE INVENTION Subsequently, "measurement", "parameter" and "value" signify both the punctual result of a measurement as its variation, its amplitude, ... on a given period.

6.1 Principles of the invention

The present invention proposes a new solution that does not have all the disadvantages of the prior art, in the form of a method for evaluating the health and / or the shape of a person. The present invention makes it possible to detect one or more non-abrupt anomalies or a non-abrupt drift of one or more parameters, which may eventually have consequences on the state of health and / or shape of the person.

The present invention is based on the collection of data from a plurality of sensors (or other peripherals) that can be worn by the person but also arranged in its close environment (workplace, home, outdoor environment). All of these data are analyzed (either real time or delayed) by algorithms (different correlations and correlations type treatments) to lead to an overall assessment of the state of health and / or shape of the patient. person (taking as reference, for example, the data already acquired by the same person by the same multi-sensor device / algorithm) and a diagnosis of an anomaly and / or a drift of the state of the person.

Unlike the techniques of the prior art, the invention proposes to weight physiological data measured according to data representative of ambient parameters.

Consequently, for example, an increase in the pulse of a person who seems a priori "abnormal" may however be considered "normal" when the ambient temperature is high. Similarly, a cough can be considered "normal" when the presence of pollen in the ambient air is detected.

The approach of the invention thus makes it possible to avoid, or at least reduce, the errors of analysis of the state of health and / or of form. It also makes it possible to anticipate and prevent serious problems. Preferably, the global evaluation can be visualized on an arbitrary scale (different according to the field of application), for example a binary indication (abnormality / normal situation).

The more detailed analysis of this global evaluation and the understanding of the corresponding results can be done, for example, by a health professional, by referring to the signals of the source sensors and / or the combination of several of them. .

6.2 Health and / or fitness assessment device

A particular embodiment of the device for evaluating the state of health and / or shape of the invention is shown schematically in FIG.

This device comprises a plurality of first "physiological" sensors that can be worn, preferably non-invasively (watch, bracelet, patch, etc.) and wireless, by the person. By way of nonlimiting examples, the sensors 20 can measure physiological data such as body temperature, heart and respiratory rate, electrocardiogram (ECG), cadence and amplitude (X, Y, Z) of not, the blood pressure, the oxygenation rate, the foot support force, the left-right dissymmetry, etc. This device further comprises a plurality of second sensors 30

"Ambient" which may be:

- arranged at the home of a person (living room, kitchen, bedrooms, ...) to collect data such as, for example, and without limitation, data relating to the ambient air such as the degree of humidity, the temperature and its daily amplitude, the content of CO ₂ or volatile molecules, data relating to noise, brightness, etc .; - worn by the person to measure ambient parameters outside (temperature, humidity, wind, etc.).

The data measured by the physiological and ambient sensors 30 can be transmitted, preferably wirelessly, in real time or at different times, to a portable central device (watch, bracelet, pendant, mini-housing) 10.

This device 10 can contain a database 102 able to store the data measured by the physiological and ambient sensors 30. The device

10 further comprises a central processing unit 108 (microprocessor, ROM memory, RAM memory, data processing software, etc.) containing the algorithms (correlations, inter correlations) necessary for the processing of all the data from the plurality of sensors 20, 30 to extract an overall assessment of the state of health and / or shape of the person.

The global evaluation and the source data from the sensors 20, 30 can be transmitted remotely (preferably securely), by means of transmitting means 10, from the portable central device 10 to a health professional ( doctors, hospitals, etc.) 40. These data can be interpreted and constitute a diagnostic aid for the evolution of the state of health and / or fitness of a person at home. This makes it possible to detect one or more abnormalities and / or non-abrupt drifts which may eventually lead to an alteration of the general state of health of said person. For example, the detection of a left-right dissymmetry may indicate an abnormal gait.

In addition, the overall assessment can also be displayed visually

(on a scale of 0 to 100 for a simplified reading for example) on an indicator 106 of the device 10 to indicate the detection or the non-detection an anomaly to the person. This indication can also be sound, tactile or other.

In addition to this indication, a sound, visual or tactile alarm 104 may be generated in order to alert the user to an emergency situation and the need to consult a health professional for example. This may be the case for example when the evolution of the measured physiological parameters corresponds to the slow evolution but constantly oriented towards an abnormal situation.

6.3 Health and / or fitness evaluation method Figure ID presents the main steps of the method of assessing the health status and / or shape of a person according to a particular embodiment of the invention. the invention.

The method comprises a step 202 for measuring, by means of the first sensors (referenced in FIG. 1C), at least one value of the physiological parameters and a step 204 for measuring at least one value of the ambient parameters, independent of the person, measured using the second sensors (referenced 30 in Figure IC). The measurements of the physiological and ambient parameters can be carried out continuously, pseudo-randomly, for a predetermined period of time or during a standard test protocol predefined in advance, such as the prior embodiment, by the person, of the less an imposed exercise, which can be a walking exercise on a treadmill for example. The data measured in steps 202 and 204 may be stored in the database (referenced 102 in FIG. 1C) of the device of the invention. The method further comprises: a step 206 during which a user selects a type of evaluation (or objective or application) from at least two types of evaluation available; a step 208 of predetermined selection of a subset of the sensors, depending on the type of evaluation chosen. A table associating several sensors with a type of evaluation is, for example, stored in the device of FIG. 1C, the user can optionally add or delete one or more sensors for the evaluation chosen; a step 210 for determining or loading a set of predefined indicators, each representative of a temporal evolution (over a period of several minutes to several days) of data measured by one of the sensors of the subset selected in FIG. step 208 (the user can optionally add or delete one or more indicators for the chosen evaluation); a step 212 for determining a global information (or synthesis) by summation of the indicators, after normalization, making it possible to detect an anomaly and / or a non-abrupt drift which may eventually lead to an alteration of the state of health of the person. This step 212 can deliver a binary information indicating the detection or non-detection of an anomaly, using a visual indicator, sound and / or tactile.

The evaluation method of the invention may further comprise a remote transmission step 300 of the result of step 212, and possibly indicators of step 210 and at least a portion of the data measured in steps 202. and 204 and stored in the database, to a health professional. 6.4 Example of implementation: diagnosis of changes in a person's state of fitness during outdoor physical activity

The evaluation of the state of form of a person can furthermore comprise a step 400 (FIG. ID) for determining a future "optimum rhythm" to be adopted, for example during an outdoor physical activity, in particular from the ambient and physiological parameters measured.

In many physical activities (non-limitative examples: cycling, running, trail running, swimming, ...), it is important to maintain an "optimum pace" and specific to each person to perform the activity in the best conditions. Indeed: a "rhythm" too slow increases the duration of the activity and can lead to delays that are a source of concern (anxiety of other people, nightfall, ...). a too fast "rhythm" inexorably leads to a rapid exhaustion that can lead to abandonment or, if the person is obliged (consciously or unconsciously) to continue his physical activity, to an alteration of his physical integrity (advanced dehydration, loss of vigilance leading to falls, ...) that can be critical. the notion of "optimum rhythm" is difficult to measure objectively by the person being physically active because the judgment can be influenced by other external parameters such as a headwind, the risk of following a higher level group, a departure too fast, a different rhythm depending on the topology of the place (slopes of different lengths and elevations). The present invention allows the person to know in real time if the rhythm that it supports is compatible with: its physical condition of the moment (measured beforehand by the device); its physiological data measured at time t during said physical activity; the duration and intensity already engaged until time t during said outdoor physical activity; the distance and / or the time remaining calculated to complete said physical activity outdoors; the remaining difficulties to complete the said physical activity (non-limiting examples: number, length and altitude of the slopes to come, wind direction, technical descent, swimming current, etc.).

As non-limiting examples, the parameters measured by the sensors

20, 30 of the device can be the body temperature, the heart and respiratory rate, the ECG, the rate and amplitude in X, Y, Z of the stride, the blood pressure, the rate of oxygenation, the support force feet, left dissymmetry

- right, cadence of cycling pedaling or swimming limb beats, temperature and degree of humidity at the place of activity, air resistance, current and average speed (on the flat, ascending and downhill), altitude, ... Advantageously, the course of the route can be pre-loaded in the device of the invention to know the difference in altitude at each distance. As a result, the person can know in real time his position on the course of his physical activity if he uses GPS positioning means or speed measurement coupled to an altimeter. During the physical activity, the device of the invention is thus able to evaluate the optimum rhythm to be sustained at a given moment. given, for example, the distance traveled and / or remaining to be traveled and / or the remaining altitude.

The portable device of the invention furthermore contains the algorithms

(correlations, interrelations, etc.) necessary for the processing of all the data from the plurality of sensors and accessories to extract an overall assessment of the state of form in real time of the person and indicate an "optimum rhythm Advised.

Examples of such algorithms are detailed below in relation to FIGS. 14 and 17. Such an indication of an "optimum rhythm" can take the form of a "slow down" type of instruction displayed visually on the device portable. In addition to this indication, an audible, visual or tactile alarm may be generated to alert the user of an emergency. This may be the case, for example, when the evolution of the measured physiological parameters corresponds to an abnormal tendency (appearance of dehydration, too high heart rate as a function of the remaining distance and height difference for example). In parallel, the global evaluation and the source data from the sensors can be transmitted to a medical team set up for the competition in which the user participates. 6.5 Description of Figures IA to 17

FIG. 1A is a block diagram of the invention in which n physiological and ambient sensors generate n data measurement curves as a function of time. The simultaneous analysis of all the curves to draw a global conclusion being difficult, the invention uses an algorithm A which restores the information from different sensors among the n sensors, in the form of at least one visual indicator (by example a histogram). Other algorithms B, C, D can treat all indicators to give a global information, such as the health status of a person, fitness, optimum pace during physical activity outdoors ... (non-exhaustive list). As illustrated in FIG. 1B, one or more of the sensors n are used to inform an accurate indicator, which may be an indicator of physiological parameters, ambient parameters, performance or context. The same sensor can be used for several indicators. Non-exhaustive examples of indicators and their contents are given below: - locomotion: pace not (free pace), length of the stride, amplitude (height) of the stride, force of the foot on the ground, symmetry left-right , etc .; because dio-respiratory: heart rate Fc, ECG, systolic ejection, respiratory rate, oxygenation rate, heart rate before, during and after an exercise of x minutes, etc .; other physiological parameters: blood pressure, fat content, muscle mass, bone mass, percentage water, weight, body temperature, etc .; ambient air quality: room temperature (living room, bedroom, etc.), temperature range, humidity percentage, noise, brightness, CO2 level, VOC (formaldehyde), wind strength and direction, resistance of the air air, outside temperature, etc .; positioning: GPS data (X, Y, Z), altimetry (barometer), accelerometer, etc; movement: instantaneous, average speed (on the flat, uphill and downhill), pedaling frequency (cycling), cadence, xyz stride (running-stroke), limb flapping, air resistance, water flow (in swimming). Depending on the application or type of evaluation ultimately targeted, the nature, number and content of the m indicators can be modulated as well as the sensors that characterize them.

Figure 2 describes an example algorithm, in this case an algorithm A, for transforming the data from several sensors into a visual indicator (a histogram in this example). This algorithm allows to:

. load the predefined sensors according to the choice of the indicator;

• add or remove sensors;

• choose the type of comparison, namely: - in real time (at time t): measurement of the values i resulting from the sensors, choice of the comparison time (example: x minutes, hour or day before the time t (10 minutes before , 1 Hour before, 1 day before, ...), extracting the database of the value i _tx corresponding to tx, calculating (i _tx - i) / i tx to obtain a difference in%, - selecting in a database previously acquired by the n sensors (example: comparison between two dates t _mitia i and t fi _na i), calculation of the value Δi corresponding to i _mitia i - if _ina i, calculation Δi / i tmitiai, possibility of calculation of the maximum variation of each sensor over the whole period between t _mitia i and t _f i _na i, calculation to obtain a difference in% • express all the deviations (positive or negative) in the form of a histogram for example (any other visual form is obviously applicable).

This algorithm is a non-exhaustive example. Any other proposal of more or less complex algorithm leading to visual information from data from several sensors is eligible. Figure 3 presents an example of a database derived from measurements of nine physiological sensors over the period from March 8, 2008 to March 16, 2008.

In this database, the calculation of the difference D between the values of the nine physiological sensors of March 16 and March 8, as well as the calculation "D * 100 / Sensor value at March 8".

Any other calculation is possible: maximum variation, regular or disordered downward or upward trend, ...

FIG. 4 illustrates an example of a visual indicator, in this case a physiological indicator, in the form of a histogram obtained from the values of the database presented in relation to FIG. 3. The nature of the nine physiological sensors is represented on the abscissa and the variation (or difference) in percentage is represented on the ordinate. This histogram allows a quick assessment of percentage changes downward, upward or no variation of selected sensors for this specific indicator. Any significant difference may correspond to an anomaly. A health professional, such as a doctor, can go back to the source data to understand the reason for an evolution (example: here a variation of the resting pulse of 20% upwards).

Figure 5 illustrates an example of an algorithm (in this case an algorithm B) that can lead to a simultaneous evaluation of several indicators to derive global information. This algorithm makes it possible to: choose the objective or type of evaluation: for example, the state of health of a person; load predefined indicators; add or remove indicators; - supply a personal database on the evolution of the sensors. Depending on the person, an upward trend of a given sensor may be normal and be displayed in green as shown in the right column of the database shown in Figure 3 or abnormal and be displayed in red. A downward trend can also be normal (display in green) or abnormal (display in red). Note that for two different people, the color for the same variation may be different. Thus, for an obese person, a weight increase will be indicated in red, and a decrease in green. Conversely, for a rickety person, a weight increase will be indicated in green and a decrease in red. In the case of no variation or variation that does not affect the health of the person, a blue display is preferred. The algorithm B thus makes it possible: to modulate the database according to the person and the evolution of his state of health; displaying histograms in color (only one histogram at a time or all), an example being illustrated in Figure 6; for each indicator, to sum all the sensors displayed in green, red and blue; to display in visual form (for example in the form of a pie chart) the "Global" (that is, the sum) green (v) - red (r) - blue (b) of each indicator, such as illustrated in Figure 7; to sum (green, red, blue) all the global indicators to display in visual form (a histogram for example) a visual information on the state of health of the person, as shown in Figure 8D.

FIG. 6 represents an example of a color histogram resulting from algorithm B for physiology indicators with: a normal evolution (green color represented by clear hatching and referenced "v" in Figure 6) for the weight, the percentage of fat and the percentage of water; an abnormal evolution (red color represented by dark hatching and referenced "r" in Figure 6) for systolic, diastolic and pulse; a constant or no-effect evolution (blue color represented in white and referenced "b" in FIG. 6) for the percentage of muscle, the percentage of bone mass and the percentage of visceral fat. Figure 7 shows an example of a global indicator, in this case a physiological indicator, resulting from the sum of all the sensors in normal evolution (green color represented by clear hatching), abnormal (red color represented by dark hatching) or unchanged (blue color shown in white), resulting from the histogram in Figure 6. Figure 8D shows an example of a visual indicator, in the form of a pie chart, illustrating the overall health status of a person . This indicator is derived from the sum of three global indicators, namely a global indicator of physiology (Figure 8A), a global cardiorespiratory indicator (Figure 8B) and a global indicator of locomotion (Figure 8C). This example is non-exhaustive, and other indicators may be added or modified depending on the person.

In an end use, an authorized person (such as a health professional) receiving a global health status (in the form illustrated in Figure 8D for example) may, if all evolutions appear as normal and / or unchanged (green colors and / or blue) on the overall indicator of health status, deduce that the person's state of health is satisfactory. It can, when at least one abnormal evolution (red color) appears on the global indicator, go back to the different corresponding global indicators (FIGS. 8A-8C), then to each color histogram (FIG. 6 for example) and finally to the analysis of the curve of the sensor presenting an abnormal evolution (FIG. 9).

Figure 9 shows an example of an abnormal change in a person's resting pulse over a given period of time (March 8 to March 16, in this case). Thus, it can be seen that: i) the pulse measurement at 16 March is higher than that at 8 March, ii) the pulse rate is high (Minimum pulse 54 /

Maximum pulse 76).

FIGS. 10A and 10C show other examples of variation of the data recorded by sensors, of the "cardio" and locomotion type respectively, for a given protocol, such as a 5km / h treadmill running test. The corresponding global indicators (of the "cardio" and locomotion type in this case) are represented in FIGS. 1B and 1OD.

FIGS. 11 to 13 show an example of time-dependent variation of data taken by ambient parameter sensors for measuring indoor air quality, such as temperature (FIG. 11) and humidity (FIG. 12). ) and the CO _{2 level} (Figure 13).

FIG. 14 describes an example of an algorithm (in this case an algorithm C) that makes it possible to follow a person's real-time fitness status and to indicate an "optimum rhythm" during an outdoor physical activity. . This algorithm makes it possible to: choose the objective or type of evaluation: in this specific case, the shape of a person to indicate an "optimum rhythm" during an outdoor physical activity; - load predefined indicators; add or remove indicators; to feed a personal database on the evolution of the sensors; obtain measurements from the sensors; determine the sensor deviation t relative to the personal sensor; - evaluate the remaining distance or the remaining time; determine the tolerance of the difference according to the remaining distance or the remaining time (simple analysis or taking into account the differences already recorded); display the "Slow down" instruction or, if the deviation is tolerated, continue the process. Figure 15 is an example of a personal database of a person's heart rate, expressed for example in beats per minute (BPM), according to his speed on the flat or his rate of climb. These data are specific to each and adaptable.

From these data, it is possible to determine a normal or abnormal state. It is thus possible to measure at time t the BPM _t and the speed V _t . If the speed

V _t is equal to V3, the ratio BPM ₁ - BPM3 / BPM _{1 is then determined} . If the report is negative, no alarm is generated. On the other hand, if the ratio is positive, a state of fatigue is detected and an alarm is generated (or a "slow down" instruction is displayed, so that a person is overspeeded when his heart rate is higher than normal for a given speed.

Other possibilities of application of the process, such as the monitoring of the respiratory rate, the length and the impact of the stride (fatigue causing no more bumps), are possible.

Figure 16 illustrates the altitude of a route as a function of the distance that can be obtained by various means, such as a mapping-hiking software or by the person who recognizes the course (GPS). Figure 17 depicts another example of an algorithm (algorithm C) for tracking the real-time fitness of a person and indicating an "optimum rhythm" during an outdoor physical activity.

Depending on the route taken (that illustrated in FIG. 16 for example), it is possible to calculate the theoretical power P (or energy) by different calculation methods (displacement of a given weight at a given speed, on a given slope in taking into account or not the resistance of the air and friction).

This algorithm C allows:

• obtain measurements from the sensors; • calculate the actual power P (or energy) from the measurement of the sensors (equation different or identical to the equation above); . determine the theoretical deviation P relative to real P;

• evaluate the remaining distance;

. determine the tolerance of the difference according to the distance remaining (simple analysis or taking into account the differences already recorded);

. correlate if necessary with heart rate, stride length, breathing rate;

. display the "Slow down" instruction or, if the deviation is tolerated, continue the process.

Claims

1. A method for evaluating the state of health and / or shape of a person, using on the one hand a plurality of sensors of a physiological measurement and on the other hand a plurality of sensors from least one ambient parameter, characterized in that the method comprises the following steps: selecting a type of evaluation, by a user, from among at least two types of evaluation available; predetermined selection of a subset of said sensors, depending on the type of evaluation chosen; determining a set of indicators, each representative of a time evolution over a period of several minutes to several days of data measured by one of the sensors of said subset; determination of global information by summation of said indicators, after normalization, making it possible to detect an anomaly and / or non-abrupt drift which may ultimately lead to an alteration of the state of health of the person.

2. Evaluation method according to claim 1, characterized in that the measurement of the data is carried out continuously, randomly, for a predetermined period of time or a predetermined distance or during a predefined test protocol.

3. Evaluation method according to one of claims 1 or 2, characterized in that the overall information can be represented visually, audibly and / or tactile.

4. Evaluation method according to any one of claims 1 to 3, characterized in that it comprises a step of remote transmission of said global information, and possibly said indicators and / or at least a part of said measured data, to a health professional.

5. Evaluation method according to any one of claims 1 to 4, characterized in that it further comprises: a step of selecting at least one parameter of a physical activity, and a step of determining an optimum rhythm during said physical activity taking into account said global information and possibly said indicators and / or at least a part of said measured data, and said at least one selected parameter.

6. A device for evaluating the state of health and / or shape of a person comprising means for measuring and / or receiving data delivered via a part of a plurality of sensors. a physiological measurement and secondly of a plurality of sensors of at least one ambient parameter, characterized in that it further comprises: - means for selecting a type of evaluation, by a user, among at least two types of evaluation available; predetermined selection means of a subset of said sensors, depending on the type of evaluation chosen; means for determining a set of indicators, each representative of a time evolution over a period of several minutes to several days of data measured by one of the sensors of said subset; means for determining a global information by summing said indicators, after normalization, for detecting an anomaly and / or non-abrupt drifts may eventually lead to an alteration of the health of the person.

7. Computer program product downloadable from a communication network and / or stored on a computer readable medium and / or executable by a microprocessor, characterized in that it comprises program code instructions for the implementation of the method of at least one of claims 1 to 5.