• 专利附录
  • 专利说明
  • 权利要求
  • 类似技术
  • 同族专利
  • 引用文献
  • 法律状态
  • 优先权
    • 专利摘要:
    The invention relates to 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 (20) and on the other hand a plurality of sensors of at least one ambient parameter (30). 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.
    公开号:CH701053B1
    申请号:CH01543/10
    申请日:2009-03-26
    公开日:2016-02-29
    发明作者:Olivier Lavastre
    申请人:Université De Rennes 1；Centre Nat Rech Scient；
    IPC主号:
    专利说明:

    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 multiple sources. sensors.
    2. Prior Art
    The methods and / or devices for monitoring a change in the state of health and / or fitness of people are subject to 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, patent application FR 2 857 140 discloses a watch strap 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 (of the type described in US Pat. PDA for example), and possibly 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 2005/006 968 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 analysis of the data or to transmit them 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.
    [0008] There is therefore a need for a device that responds to this problem, and that makes it possible to detect variations or slower evolutions of the state of health and / or of a person's shape, particularly for those cases where he or she There are 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 object 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 for cases or there are no alarming or abrupt symptoms that are easy to detect, taking into account the context in which the measurements take place.
    Another object of the invention is, in at least one embodiment, to provide a technique limiting the risk of errors in the assessment of the state of health and / or shape, and to avoid as much as 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 invention of a specialist to be interpreted.
    4. Summary of the invention
    These objectives, as well as others which will appear subsequently, are achieved by means of a method for evaluating the state of health and / or the shape of a person implementing a a plurality of sensors of a physiological measurement and secondly a plurality of sensors of at least one ambient parameter, according to claim 1 of the patent.
    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 measurements of physiological data on the person take place, by measuring the variations of one or more parameters. ambient.
    Such a technique makes it possible to weight the measurements from the physiological sensors, and thus to prevent the result of the analysis of the measured data from being erroneous.
    For example, a priori alarming evolution of a physiological parameter in a person (heart rate up) may be normal and explained by a particular environment, such as a higher than normal temperature of the ambiant air.
    Similarly, the result of the analysis of 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 account when analyzing a value relative 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 therefore reduces the risk of error and 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 variations or slower changes in the state of health and / or or in the shape of a person, especially when there are no abrupt excesses of his state of health and / or form. 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 a particular embodiment of the invention, the measurement of physiological and / or ambient data is performed in such a way as:keep on going,pseudorandom,for a period of time or a predetermined distance, and / orduring a predefined test protocol.
    Thus, the measurement of physiological data and / or ambient can be implemented in a continuous manner, pseudo-random, at regular intervals, for a 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 physiological data and measured ambient data allows a deferred analysis of these data.
    According to a preferred implementation, the overall information can be represented using a visual indicator, sound and / or tactile.
    The invention provides the user with simple information on his health and / or form through a visual indicator, sound and / or touch. 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 may be an emergency stimulus that alerts the user and suggests that he seek immediate medical attention or to slow down 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 monitoring and remote control by a doctor of the state of health and / or shape of a person and possibly a diagnostic aid on the evolution of the state of health. health and / or fitness.
    Thus, in the case where an anomaly is detected during the analysis of the overall information, the doctor can access additional information quickly and perform a more detailed analysis of the measurement data transmitted 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, the 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 step of 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 period of time. physical activity taking into account the global information and possibly the indicators and / or at least a part of the measured data, and one or more selected parameters.
    The method of the invention thus allows the determination of a future optimum pace to be adopted by the person during a physical activity, outdoors for example, on the basis of the measured physiological and ambient data, and from less a parameter of a physical activity, such as the remaining distance to be covered, 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 temperatureheart and respiratory rhythm;electrocardiograms;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 left-right asymmetry.
    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 CO2 and / or volatile molecules in the ambient air;the noise level;the degree of brightness;the strength and direction of the wind;altitudethe distance traveled and remainingthe elevation gain (positive and / or negative) traveled and remainingthe 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 device. a part of 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 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.
    Thus, the device of the invention comprises a plurality of sensors (or other devices) 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 indicator, sound and / or tactile state of form and / or health of the person.
    Such an indicator can be integrated with 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 program code instructions for implementing the method described above.
    5. List of figures
    Other features and advantages of the invention will appear more clearly on reading the following description of a particular embodiment, given as a simple illustrative and non-limiting example, and the appended drawings, among which:<tb> Figs. 1A and 1B <SEP> are schematic diagrams of the invention;<tb> Fig. 1C <SEP> schematically represents the device of the present invention according to one embodiment;<tb> Fig. 1D <SEP> details the main steps of the method for evaluating the state of health and / or shape of a person according to one embodiment of the invention;<tb> Fig. 2 <SEP> describes an example algorithm (algorithm A) for transforming the data from several sensors into a visual indicator in the form of a histogram;<tb> Fig. 3 <SEP> presents an example of a database resulting from measurements of several physiological sensors;<tb> Fig. 4 <SEP> illustrates an example of a visual indicator in the form of a histogram, from the database presented in relation with FIG. 3;<tb> Fig. 5 <SEP> illustrates an example of an algorithm (algorithm B) that can lead to a simultaneous evaluation of several indicators to obtain global information;<tb> Fig. 6 <SEP> represents an example of color histogram from algorithm B for physiology indicators;<tb> Fig. 7 <SEP> shows an example of an overall indicator resulting from the sum of all the sensors relating to the physiological indicator of FIG. 6;<tb> Figs. 8A to 8D <SEP> show examples of visual information on overall health status (Figure 8D) derived from the sum of three global indicators of physiology (Figure 8A), cardiorespiratory (Figure 8B) and locomotion (Fig. 8C);<tb> Fig. 9 <SEP> shows an example of an abnormal change in a person's resting pulse over a given period of time;<tb> Figs. 10A and 10C <SEP> represent other examples of variation of measurements from "cardio" type sensors (for a given protocol) and of locomotion sensors with corresponding global indicators in FIGS. 10B and 10D;<tb> Figs. 11 to 13 <SEP> show an example of time-dependent variation in data collected by sensors to measure indoor air quality, such as temperature (Fig. 11), humidity (Fig. 12) and the CO2 level (Figure 13);<tb> Fig. 14 <SEP> describes an example algorithm for tracking the real-time fitness of a person;<tb> Fig. 15 <SEP> is an example of personal databases of a person's heart rate based on his flat speed or rate of climb;<tb> Fig. 16 <SEP> shows an example of a route for which altitude is represented as a function of distance;<tb> Fig. 17 <SEP> describes another example of algorithm C.
    6. Description of an embodiment of the invention
    Subsequently, "measure", "parameter" and "value" mean both the punctual result of a measurement that its variation, its amplitude, ... over 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 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 ultimately have a consequence 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 devices) 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.
    Accordingly, 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.
    In the same way, 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 finer analysis of this overall assessment and the understanding of the corresponding results can be done, for example deferred, by a health professional, referring to the signals of the source sensors and / or the combination of several d 'between them.
    6.2 Device for evaluating the state of health and / or fitness
    A particular embodiment of the device for evaluating the state of health and / or shape of the invention is shown schematically in FIG. 1 C .
    This device comprises a plurality of first "physiological" sensors 20 which can be worn, preferably non-invasively (watch, bracelet, patch, ...) 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 (in X, Y, Z) of not, the blood pressure, the oxygenation rate, the foot support force, the left-right dissymmetry, ...
    This device further comprises a plurality of second "ambient" sensors 30 which may be:arranged in 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 magnitude, CO2 content or volatile molecules, data relating to noise, brightness, etc .;carried by the person to measure ambient parameters outside (temperature, humidity, wind, etc.).
    The data measured by the physiological 20 and ambient 30 sensors can be transmitted, preferably wirelessly, in real time or at different times, to a portable central device (watch, bracelet, pendant, mini-box) 10.
    This device 10 may contain a database 102 capable of storing 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, software data processing, etc.) containing the algorithms (correlations, interrelations) necessary for processing 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 overall evaluation and the source data from the sensors 20, 30 can be transmitted remotely (preferably securely), by means of transmission means 110, from the portable central device 10 to a professional of the health (doctor, hospitals, ...) 40. These data can be interpreted and constitute a diagnostic aid on the evolution of the state of health and / or shape 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 beginning of gait.
    In addition, the overall evaluation 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 alarm 104, visual or tactile can be generated so as to alert the user of 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.
    [0073] 6.3 Method for assessing the state of health and / or fitness
    FIG. 1D presents the main steps of the method for evaluating the state of health and / or shape of a person according to a particular embodiment of the invention.
    The method comprises a measurement step 202 by means of the first sensors (referenced 20 in FIG 1C) of at least one value of the physiological parameters and a step 204 of measuring at least one parameter value. ambient, independent of the person, measured using the second sensors (referenced 30 in Fig. 1C). 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 chosen evaluation;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 of determining a global information (or synthesis) by summation of the indicators, after normalization, to detect an anomaly and / or non-abrupt drift may eventually lead to an alteration of the health status of the nobody. 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 step 300 of remote transmission of the result of step 212, and possibly indicators of step 210 and at least part of the measured data. at steps 202 and 204 and stored in the database, to a health professional.
    6.4 Example of implementation: diagnosis of the evolution of the fitness of a person during an outdoor physical activity
    The evaluation of the state of form of a person may further comprise a step 400 (FIG 1D) for determining a future "optimum rhythm" to be adopted, for example during a physical activity in outside, in particular from the ambient and physiological parameters measured.
    In many physical activities (non-limiting examples: cycling, running, trail running, swimming, ...), it is important to maintain an "optimum pace" and specific to each person to perform the said physical activity under the best conditions. Indeed:a "rhythm" that is 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.).
    By way of nonlimiting examples, the parameters measured by the sensors 20, 30 of the device may be the body temperature, the heart and respiratory rate, the ECG, the rate and amplitude in X, Y, Z of the stride, blood pressure, oxygenation rate, foot support force, left-right dissymmetry, cycling cadence or limb-beating rhythm, temperature and degree of place of activity, air resistance, current and average speed (on the flat, ascent and descent), 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 pace to be supported at a given moment as a function, for example, of the distance traveled and / or remaining to be traveled and / or of the altitude difference remaining at Browse.
    The portable device of the invention also contains the algorithms (correlations, intercorrelations, etc.) necessary for processing all the data from the plurality of sensors and accessories to extract an overall evaluation of the state. real-time form of the person and give him or her a suggested "optimum rhythm".
    Examples of such algorithms are detailed below in relation to FIGS. 14 and 17.
    Such an indication of an "optimum rhythm" may take the form of a "slow down" type of instruction displayed visually on the portable device. 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 FIGS. 1A 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 process all the indicators to give a global information, such as for example the state of health of a person, the state of form, the optimum rhythm when physical activity outdoors ... (non-exhaustive list).
    As illustrated in FIG. 1B, one or more sensors among the n sensors 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), stride length, amplitude (height) of the stride, foot strength on the ground, left-right symmetry, etc .;cardiorespiratory: Fc heart rate, 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, air resistance 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 / running), limb flapping, air resistance, water flow (in swimming).
    Depending on the application or the type of evaluation referred to in the end, the nature, the number and the content of the m indicators can be modulated as well as the sensors that characterize them.
    FIG. 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:<tb> • <SEP> load the predefined sensors according to the choice of the indicator;<tb> • <SEP> add or remove sensors;<tb> • <SEP> choose the type of comparison, namely:<tb> <SEP> - <SEP> in real time (at time t): measurement of i values from sensors, choice of comparison time (example: x minutes, time or day before time t (10 minutes before, 1 hour before, 1 day before, ...), extraction of the database from the it-x value corresponding to t-x, calculation (it-x-i) / it-x to obtain a difference in%;<tb> <SEP> - <SEP> by selecting in a database previously acquired by the n sensors (example: comparison between 2 dates tinitial and tfinal), calculation of the value Δi corresponding to iinitial-ifinal, calculation Δi / itinitial, possibility of calculating the maximum variation of each sensor over the entire period between tinitialet tfinal, calculation to obtain a difference in%.<tb> • <SEP> express all 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.
    FIG. 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, downward or upward tendency regular or disordered, ...
    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 with FIG. 3. The nature of the nine physiological sensors is plotted as the abscissa and the percentage change (or deviation) is plotted as 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).
    FIG. 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 allows to:choose the purpose or type of assessment: for example, the state of health of a person;load predefined indicators;add or remove indicators;to feed a personal database on the evolution of the sensors.
    Depending on the person, an upward movement of a given sensor may be normal and be displayed in green as indicated in the right column of the database illustrated in FIG. 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 therefore allows:to modulate the database according to the person and the evolution of his state of health;display histograms in color (only one histogram at a time or all), an example being illustrated in FIG. 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 FIG. 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 illustrated in fig. 8D.
    FIG. 6 represents an example of a color histogram derived from algorithm B for physiology indicators with:a normal evolution (green color represented by clear hatching and referenced "v" in Fig. 6) for weight, percentage of fat and percentage of water;an abnormal pattern (red color represented by dark hatching and referenced "r" in Fig. 6) for systolic, diastolic and pulse;a constant evolution or no effect (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.
    [0101] FIG. 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 of FIG. 6.
    [0102] FIG. 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 not exhaustive, and other indicators can be added or modified depending on the person.
    In a final use, an authorized person (such as a health professional) receiving a global health status (in the form illustrated in Fig. 8D for example) may, if all evolutions appear as normal and / or unchanged (colors green and / or blue) on the global 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 up to the different corresponding global indicators (Fig. 8A - 8C), then to each color histogram (Fig. 6 for example) and finally to the analysis of the sensor curve with abnormal evolution (figure 9).
    [0104] FIG. 9 shows an example of an abnormal variation of the resting pulse of a person over a given period of time (from 8 to 16 March in this case). Thus, it can be seen that: i) the pulse measurement on March 16th is higher than that on March 8th, ii) the pulse rate is high (Minimum Pulse 54 / Maximum Pulse 76).
    [0105] Figs. 10A and 10C show other examples of variation of the data recorded by sensors, such as "cardio" and locomotion respectively, for a given protocol, such as a 5 km / h treadmill running test. The corresponding global indicators (of the "cardio" and locomotion type in this case) are represented in FIGS. 10B and 10D.
    [0106] Figs. Figures 11 to 13 show an example of the time-dependent variation of data recorded by ambient sensors to measure indoor air quality, such as temperature (Fig. 11) and humidity (Fig. 12). ) and the CO2 level (Figure 13).
    [0107] FIG. 14 describes an example algorithm (in this case an algorithm C) for monitoring the real-time fitness of a person 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 case, the fitness 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 time remaining;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.
    [0109] FIG. 15 is an example of a personal database on the heart rate of a person, expressed for example in beats per minute (BPM), according to its speed on the flat or its 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 BPMtet and the speed Vt. If the speed Vt is equal to V3, the ratio BPMt-BPM3 / BPMt 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.
    [0112] FIG. Figure 16 illustrates the altitude of a course 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).
    [0113] FIG. 17 describes another example of an algorithm (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.
    Depending on the path performed (that shown 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 taking into account or not the resistance of air and friction).
    This algorithm C makes it possible to:<tb> • <SEP> obtain measurements from the sensors;<tb> • <SEP> calculate the actual power P (or energy) from the sensor measurement (equation different or identical to the equation above);<tb> • <SEP> determine the theoretical difference P with respect to real P;<tb> • <SEP> evaluate the remaining distance;<tb> • <SEP> determine the tolerance of the difference according to the distance remaining (simple analysis or taking into account the differences already recorded);<tb> • <SEP> correlate if necessary with heart rate, stride length, breathing rate;<tb> • <SEP> display the setpoint "Slow down" or, if the deviation is tolerated, continue the process.
    权利要求:
    Claims (7)
    [1]
    1. A method for acquiring data relating to the state of health and / or shape 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 at least one ambient parameter,characterized in that the method comprises the following steps:- selection by a user of a type of evaluation appropriate to the desired physiological measurement among at least two types of available evaluations;Predetermined selection of a subset of said sensors, according to the type of evaluation chosen by said user;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.
    [2]
    2. Method according to claim 1, characterized in that the measurement of the data is performed continuously, randomly, for a period of time or a predetermined distance or during a predefined test protocol.
    [3]
    3. Method according to one of claims 1 or 2, characterized in that the overall information can be represented visually, audibly and / or touch.
    [4]
    4. Method according to 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 portion of said measured data, to a health professional.
    [5]
    5. 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, andA 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 ambient parameter.
    [6]
    6. A device for acquiring data relating to 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 of a physiological measurement and secondly of a plurality of sensors of at least one ambient parameter,characterized in that it further comprises:Means for selection by a user of a type of evaluation appropriate to the desired physiological measurement, among at least two types of evaluation available;Means for predetermined selection of a subset of said sensors, as a function of the type of evaluation chosen by said user;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 eventually lead to an alteration of the state of health of the person.
    [7]
    7. Computer program product comprising a program comprising instructions for carrying out the method according to one of claims 1 to 5, when said program is executed by a device according to claim 6.
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    同族专利:
    公开号 | 公开日
    FR2929427A1|2009-10-02|
    FR2929427B1|2012-12-28|
    WO2009118399A3|2010-02-25|
    TWI528939B|2016-04-11|
    WO2009118399A2|2009-10-01|
    TW200946078A|2009-11-16|
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    法律状态:
    2020-10-30| PL| Patent ceased|
    优先权:
    申请号 | 申请日 | 专利标题
    FR0851955A|FR2929427B1|2008-03-26|2008-03-26|METHOD FOR ASSESSING HEALTH AND / OR FORM, DEVICE AND CORRESPONDING COMPUTER PROGRAM PRODUCT|
    PCT/EP2009/053637|WO2009118399A2|2008-03-26|2009-03-26|Method of evaluating health and/or fitness, corresponding device and computer program product|
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