TWI528939B - Method of evaluating the health and/or physical condition of a person and corresponding device and computer software package - Google Patents

Description

Method for assessing health and/or physiological state, device and computer program product

The present invention relates to the field of chasing and monitoring personal health and/or status.

More precisely, the present invention relates to monitoring and appropriately diagnosing support for changes in personal health and/or status based on multiple sensor data.

Monitoring methods and/or devices that enable changes in the health and/or status of an individual are a very strong requirement. For the detection of rapid changes in the physiology and/or physiological integrity of an individual (eg, falls, heart discomfort, respiratory arrest, sudden infant death syndrome, total absence of movement, etc.) A variety of devices are available that enable rapid detection and warning.

For example, the known French patent application FR 2 857 140 discloses a wristband for monitoring the physiological parameters of the wearer and triggering an alarm when it is detected to be abnormal. The device is effective, for example, in the event that the wearer falls, but it does not enable abnormal detection of a slow change in the wearer's health or condition.

Patent application WO 2007/036748 discloses a patch capable of transmitting information about the heart rate (and possibly other physiological parameters) of a patient affixed to the patch to a portable communication module (eg PDA type) and possibly Go to the computer/remote server to analyze the data by an expert and generate, for example, an alert.

Patent application WO 2005/006968 describes the use of a portable electronic device (for example: a razor, a toothbrush or a portable telephone) for measuring physiological parameters of a user and displaying the results of the analysis of the data or transmitting them to the far end End device.

A disadvantage of these devices is that the processing of the data only takes into account changes in the measured physiological parameters. However, in some cases, the analysis results are missing because they do not take into account the environment in which the measurements are produced. As observed by the inventors in the scope of their research, the change may appear to be an essential warning, and in fact, it is normal because of the special circumstances in which the physiological sensor cannot be reconstructed. Since unnecessary decisions are taken in some applications (if it is not counterproductive or dangerous), such as generating an alarm, resulting in unnecessary implementation of the first assisted measurement, this can be a detrimental consequence.

Therefore, there is a need for a device that responds to this problem and a lower detection that enables changes or changes in the health and/or condition of the individual, especially in the absence of alerts or sudden symptoms that are not easily detectable. And take into account the occasions of the implementation of the measurement.

In addition, in the medical context, for example, known systems are used to diagnose a few hours or days to produce a complex set of measurements that only experienced professionals can interpret.

The object of the invention is in particular to alleviate the disadvantages of the prior art.

More precisely, one of the objects of the present invention in at least one embodiment is to enable detection of a slow change in personal health and/or state, particularly in the absence of easy detection of accidents and alarm symptoms, and The occasion of measuring.

Another object of the present invention in at least one embodiment is to provide a technique to limit the risk of errors in assessing individual situations and/or conditions and to avoid the generation of false alarms as much as possible.

In at least one embodiment, the present invention also serves as a predictive and predictive individual for this purpose. Change the situation and / or status.

Moreover, in at least one embodiment, another object of the present invention is to configure simple and effective information without the need for expert input for explanation.

These and the remainder will become apparent below by assisting in the assessment of an individual's health and/or status, and on the one hand implementing a plurality of physiological measurements of the sensor and on the other hand a plurality of at least one environment The sensor of the parameter.

According to the invention, the method comprises the steps of: - evaluating a type of selection from one of at least two available evaluation types by one of the users; - based on a subset of the sensors of the selected evaluation type Preset selection; - each of the representations of temporal evolution during a few minutes to days by one of the subsets determines a set of indicators; - after normalization The sum of the indicators determines the overall information, so that the detection of abnormalities and/or non-abrupt drifts that ultimately can result in changes in the individual's health.

In this manner, the present invention uses measurements of a combination of a physiological sensor and an environmental sensor to monitor and assess an individual's health and/or condition. Anomalies and/or non-sudden tendencies that can ultimately lead to changes in personal health conditions can be detected by using simple and effective overall information without the need for expert input for explanation.

The overall information is obtained by summing the indicators, each of which is the evolution of data measured by a predetermined subset of physiological and environmental sensors over a period of minutes to days after normalization. Said.

The use of a combination of physiological and environmental sensors allows for consideration of the context of the physiological data measurements performed by the individual by measuring changes in one or more environmental parameters.

Such techniques can enable measurements from the physiological sensor to be measured and to avoid missing results from the analysis of the measured data.

For example, an initial alarm change in an individual's physiological parameter (heart rate increase) may prove to be normal and interpreted by a particular environment (eg, above normal room temperature).

In the same way, the measurement results of the athlete's heart rate during the effort period are based on the specific conditions of the measurements performed. Therefore, the numerical analysis of the heart rate of the athlete during the physical activity of the preset process will not be the same as whether the athlete is at the beginning or at the completion of the process, or whether the athlete has climbed a mountain or along Move on the ground.

In another exemplary embodiment of the invention, the individual's fitness type is taken into account during the numerical analysis of the individual's weight. When it is suspected to be a rachitic, the increase in weight will be analyzed as non-critical. Conversely, when it is suspected to be obese, the increase in weight will be analyzed as abnormal and eventually lead to a deterioration in the health of the person.

The technique of the present invention allows for limiting the risk of errors and avoiding the generation of false alarms regarding personal health and/or status, as well as physiological conditions consistent with physiological value measurements, by considering the profile and environmental conditions.

Contrary to the prior art, the purpose is to detect rapid changes in the health of the individual, while the present invention detects slower changes or changes in the individual's health and/or state. Especially when there is no sudden tendency in its health and/or condition. Therefore, the method makes it possible to monitor an individual's health and/or status as well as forecasting or anticipating problems.

According to a particular embodiment of the invention, the measurement of the physiological and or environmental data is performed: - continuously, - randomly, - in a preset time range or distance, and / or - During the scheduled test agreement.

In this manner, the measurement of physiological and/or environmental data can be performed as described continuously, randomly, in regular intervals, in a predetermined time range or distance, or during a predetermined test protocol.

This therefore makes it possible to adjust the accuracy of the measurement data and the analysis of the data.

According to an advantageous aspect of the invention, the method further comprises the step of storing the measurement data to at least one database.

In addition to the possibility of analyzing the measurement data in real time, the storage of the measured physiological data and environmental data in a database enables off-line analysis of the data.

According to a preferred embodiment, the overall information can be represented by assistance with visual, audible or touchable indicators.

The present invention makes it possible to provide the user with simple information about the health and/or physiological state by means of a visual, audible or touchable indicator. Therefore, this facilitates the interpretation of the entire set of measurements without the involvement of experts (such as medical care or physical activity professionals). The information transmitted to the user can be an emergency stimulus that alerts the user and suggests promptly consulting or slowing down or even stopping the ongoing physical activity.

The method advantageously includes the step of remotely transmitting the results of the overall information and possible indicators and/or at least a portion of the measured data to a medical care professional.

This aspect of the invention is monitored and monitored remotely by a physician of the individual's health and/or status and can be diagnosed to support relevant health conditions and/or state changes.

Thus, in this case, when an abnormality is detected during the analysis of the overall information, the physician can quickly access additional information and direct a more analysis of the transmitted measurement data to determine the cause of the abnormality.

For example, they can infer personal gait based on the measure of left/right foot balance. The disorder in (gait) begins, detecting symptoms of a heart attack or even dehydration.

In some cases, remote transmission of such data to a health care professional may be performed in accordance with the order.

According to a particular embodiment of the invention, the method comprises the step of at least one imposed motion by the individual prior to measuring at least one of the at least one physiological parameter.

The predefined motion image can be a predetermined distance walking on the treadmill or any known fitness test. Such movement prior to at least one physiological parameter measurement may improve the accuracy of the measured data analysis and the detection of anomalies and/or non-burst propensities. In fact, the measured data can be compared to previous measurements (such as stored in a database) after the same imposed on the exercise.

According to another particular embodiment of the present invention, the method includes the steps of selecting at least one parameter of physical activity, and considering the overall data and possible indicators and/or at least a portion of the measured data and one or more selected parameters, The steps of the future optimal pace can be determined during this physical activity.

The method of the present invention thus enables the determination of one of the best paces of the future employed by the individual during outdoor physical activity. For example: based on measured environmental and physiological data and at least one parameter of physical activity (eg, remaining distance of travel, difficulty of course encountered, wind direction, etc.). Such parameters may, for example, be pre-recorded in at least one database of the device, and the stored data may include an overview of the process or a personal heart rate such as a standard heart rate at a flat speed or a personal heart rate of the mountain climbing speed. .

The decision of the best pace is preferably done on the fly. The information of the determined optimal pace can be transmitted to the individual in the form of a visual command of the "deceleration" or "acceleration" type. This makes it possible to avoid the dangers of overspeed (dehydration, loss of sensitivity) physical activity or too slow pace (activity lasts for too long).

Advantageously, the physiological parameter or belonging to the group of tissue parameters comprises: - body temperature; - heart rate or respiratory rate; - electrocardiogram; - pace rhythm and stride; - blood pressure; - weight of fat, water, muscle and / or bone mass And / or percentage; - aerobic rate; - bearing capacity of the foot; - left and right asymmetry.

Advantageously, the environmental parameter or the parameters belonging to the group comprise: - the relative humidity of the outside air; - the outside air temperature; - the daily range of the outside air; - the carbon dioxide and/or the volatile molecular component of the outside air ;-Noise level; -Light level; - Wind and wind direction; - Height; - Travel distance and remaining distance; - Encounter and residual height change (positive and / or negative); - Movement speed (actual and climb).

Another aspect of the present invention relates to a device for assessing a person's health and/or condition, comprising measuring and/or receiving a sensor on the one hand by a plurality of physiological measurements and another A device for transmitting data from a plurality of sensors of at least one environmental parameter on the one hand.

According to the invention, such a device further comprises: - a device for selecting an evaluation type from at least two available evaluation types by a user; - a predetermined selection of a subset of the sensors based on the selected evaluation type Means; means for determining, by one of the subsets, each representation of the evolution of the data over a period of minutes to days to determine a set of indicators; - after normalization by means of the indicator The sum determines the device for the overall information, whereby the detection of an abnormality and/or non-sudden tendency that ultimately results in a change in the health of the individual.

Thus, the device includes a plurality of sensors (or other peripherals) that can be carried by the individual or in an adjacent environment (workplace, residence). The device further includes a portable central device (watch, bracelet, charm, mini computer) that can analyze the data measured by the sensor to detect an abnormality that may result in a change in personal health and/or status and/or Non-burst tendency.

According to a particular embodiment of the invention, the apparatus comprises at least one database of measured data.

According to another particular embodiment of the invention, the device comprises one of the visual, audible or touchable indicators of the personal health condition and/or state.

Such an indicator can be built into the portable central unit and has a scale of, for example, 0 to 100 to indicate the personal health and/or status.

The apparatus advantageously includes means for remotely transmitting at least a portion of the overall information and the measured data to a health care professional.

Thus, the measurement data analysis of the device and the source data originating from the sensor can be transmitted from the remote end of the portable central device (preferably safely) to a health care professional (physician, hospital, etc.). .

Such an implementation would enable the final analysis of the data and include information about the individual's health. Diagnostic support for changes in conditions and status.

Yet another aspect of the present invention is directed to a computer software program that can be downloaded from a communication network and/or stored on a machine readable medium and/or executed by a microprocessor, characterized in that the computer software program Program code instructions for performing the methods described above are included.

b‧‧‧Blue

BPM‧‧‧ heart beats per minute

g‧‧‧Green

P‧‧‧Power

r‧‧‧Red

t‧‧‧Time

10‧‧‧Portable central unit

20, 30‧‧‧ Sensors

40‧‧‧Health Care Professionals

102‧‧‧Database

104‧‧‧Alarm

106‧‧‧ indicators

108‧‧‧Central Processing Unit

110‧‧‧Transfer device

Other features and advantages of the present invention will be apparent from the following description of the particular embodiments of the invention and the accompanying drawings in which: FIG. 1A and FIG. Block diagram; FIG. 1C is a schematic representation of a device of the present invention in accordance with an embodiment. FIG. 1D is a detailed disclosure of the principle steps of a method for assessing a person's health and/or state in accordance with an embodiment of the present invention; FIG. 2 depicts Used to convert data from several sensors into a visual indicator with a histogram; Figure 3 shows an example of a database from several physiological sensors; Figure 4 shows a square An example of a visual indicator of form derived from the database shown in Figure 3; Figure 5 shows an exemplary algorithm (algorithm B) that enables simultaneous evaluation of several simultaneous indicators to present their overall information Figure 6 shows an example of a color histogram obtained from the algorithm B of the physiological index; Figure 7 shows an exemplary overall indicator resulting from the sum of all the sensors of the physiological sensor of Figure 6; 8A to FIG 8D shows an example of from about three integral Physiological indicators (FIG. 8A), cardiopulmonary indicators (FIG. 8B), the overall health (of FIG. 8C) the sum of the motion indicators (FIG. 8D) of visual information; Figure 9 shows an example of an abnormal pulse change when a person is at rest for a period of time; Figures 10A and 10C show a "heart" type sensor from (specific protocol) and from Figures 10B and 10D Other examples of measurement changes in motion sensors with corresponding overall indicators; Figures 11 through 13 show examples of time-dependent changes recorded by sensors to measure internal air quality, such as humidity (Fig. 12) Temperature level (Fig. 11) and carbon dioxide level (Fig. 13).

Figure 14 depicts an exemplary algorithm for monitoring personal status in real time; Figure 15 is an example of a database of personal data about a person's personal heart rate at the speed of the flat or at their rate of climb; Figure 16 shows the relevant distance Process evaluation; and Figure 17 depicts another exemplary algorithm C.

The following terms "measurement", "parameter" and "value" refer to the point results measured over a period of time and the degree and extent of their variation.

Principles of the invention

The present invention proposes novel solutions without all of the disadvantages of the prior art in the form of a method for assessing the health and condition of a person.

The present invention makes it possible to detect one or more non-sudden anomalies or non-sudden tendencies of one or more parameters, which can ultimately affect the health and/or state of the individual.

The present invention is based on the collection of data from a plurality of sensors (or other peripherals) that can be worn not only by the individual but also in their immediate vicinity (workplace, residence, external environment). The entity of this material is analyzed (instant or offline) via an algorithm (various associations, interaction-related types of processing) in order to achieve an individual's health and/or status The overall assessment (for reference, for example, data that has been acquired by the same individual sensor/algorithm device) and the diagnosis of anomalies and/or propensities of the individual's state.

In contrast to prior art techniques, the present invention provides measurement physiological data that measures a representation of a data regarding environmental parameters.

Thus, for example, an increase in the individual heart rate may initially appear to be "abnormal", whereas when the outside temperature is high, it should be considered "normal."

In the same way, coughing may be considered "normal" when pollen is detected by the outside world.

The manner of the invention thus makes it possible to avoid or at least reduce analytical errors with regard to health conditions and/or conditions. It also causes serious problems to be expected or predicted.

The overall assessment may preferably be seen at any scale (depending on the field of application), such as a binary index (abnormal/normal state).

For example, a better analysis and related results of this overall assessment can be achieved by a health care professional by taking the signal of the source sensor and/or its combinations offline.

Device for assessing health and/or condition

A summary of the apparatus for assessing health and/or status of a particular embodiment of the present invention is shown in Figure 1C.

The device includes a plurality of "physiological" sensors 20 that can be worn by the individual, preferably non-invasive (watches, bracelets, patches) and wireless. As a non-limiting example, the sensor 20 can measure image temperature, heart rate and respiration rate, electrocardiogram (ECG), pace rhythm and stride (in X, Y, Z axis), blood pressure, aerobic rate. Physiological data such as the bearing capacity of the foot, the asymmetry of the left and right, and the like.

The apparatus further includes a plurality of second "environment" sensors 30, which may be: - placed in an individual's residence (living room, kitchen, bedroom, etc.) for collecting information, for example and without limitation Systemically can be information about the outside air, such as humidity, temperature and its daily range, carbon dioxide, volatile molecular components, information about noise, light, etc.; and - by the individual to measure Environmental parameters (temperature, humidity, headwind, etc.).

The data measured by the physiological sensor 20 and the environmental sensor 30 can preferably be transmitted to a portable central device (watch, wristband, charm, mini computer) wirelessly, instantly or at different times. 10.

The device 10 can include a database 102 that can store data measured by the physiological sensor 20 and the environmental sensor 30. The apparatus 10 further includes a central processing unit 108 (microprocessor, ROM, RAM, data processing software, etc.) that includes algorithms (correlation, interaction) that need to process all of the data from the plurality of sensors 20, 30. Relevant) to extract an overall assessment of the individual's health and/or status from it.

The overall assessment and source data from the sensors 20, 30 can be remotely transmitted (preferably safely) from the portable central device 10 to a health care professional (physician, hospital) via the delivery device 110. Etc.) 40.

This information may be interpreted and includes diagnostic support regarding the health and/or status of the individual at his or her residence. This makes it possible to detect one or more abnormalities and/or non-sudden tendencies that can cause a change in the general health of the individual. To illustrate, left and right asymmetry detection can indicate the beginning of an abnormal gait.

Moreover, the overall assessment can be displayed visually (e.g., using a scale of 0 to 100 for simplified reading) in one of the indicators 106 of the device 10 to indicate that the individual is abnormally detected or not detected. Such indicators can also be audible, tactile or otherwise.

In addition to this indicator, an audible, visible, or touchable alarm 104 can be generated to change the emergency of the user and to consult the user of the health care professional. This can be an example, for example, when the change in the measured physiological parameter is equivalent to a change Slow but a continuous point towards an abnormal situation.

Method of assessing health and/or status

Figure 1D shows the principle steps of a method of assessing a person's health and/or status in accordance with a particular embodiment of the present invention.

The method includes the step 202 of measuring at least one of the physiological parameters by the first sensor (which is labeled 20 in Figure 1C) and by the second sensor (which is labeled in Figure 1C) Step 204 of measuring at least one value of the environmental parameter of the individual for 30). The physiological and environmental parameter measurements can be performed continuously, randomly, in a predetermined time span, or during a pre-defined standard test protocol period, such as by the individual performing at least one forced movement in advance, such as Treadmill exercise. The data measured at steps 202 and 204 can be stored in the database of the device of the present invention (which is labeled 102 in Figure 1C).

The method further includes: - a step 206 of the period during which the user selects an evaluation type from the at least two available evaluation types; - based on the selected evaluation type for a predetermined selection of a subset of the sensors Step 208. A table associated with a plurality of sensors of an evaluation type may be stored in the device of FIG. 1C, the user being able to appropriately add or delete one or more sensors to the evaluation of the selection; - deciding or loading At step 210 of the predetermined indicator, each representation of the data evolution (within minutes to days) is performed at step 208 (the user may appropriately add or delete one or more sensors for the evaluation of the selection) Measured by one of the sensors selected in the subset; - the step 212 of determining the overall (or synthetic) information after normalization by the sum of the indicators, thereby enabling detection of the person ultimately leading to the individual Abnormal and/or non-sudden propensity for changes in health conditions. This step 212 can send the binary information to indicate abnormal detection or non-detection by visual, audible or touchable indicators.

The evaluation method of the present invention may further include the steps of step 212 and step 210. And the step 300 of measuring and storing at least a portion of the data stored in the database to a health care professional at steps 202 and 204.

Case-by-case implementation: diagnosis of changes in an individual's health during outdoor physical activity

The assessment of the personal status may further include a step 400 of determining the future "best pace" to be employed, such as during outdoor physical activity, particularly from measured physiological and environmental parameters.

In a number of physical activities (non-limiting examples of riding a bicycle, running, walking, swimming, etc.), it is important to maintain a "best pace" unique to each individual in order to perform the physical activity below the optimal condition. can. In fact:

- An excessively slow "step" greatly increases the duration of the activity and can lead to delays as a source of concern (some other people's worries, sunsets, etc.).

- Excessively fast "step" ruthlessly leads to rapid exhaustion, which may lead to abandonment, or if the individual is responsible for the continuity of his physical activity (consciously or unconsciously), before the same physical integrity change (before It can be dangerous when dehydration, loss of alertness caused by falls, etc.).

- The idea of the "best pace" for the individual is different from the measurement of objectivity during physical activity, because the external parameters can influence the judgment, which can be like a headwind, following the risk of a higher level group organization , start too fast, according to the position of the terrain (different length and height of the slope) step changes.

The present invention allows the individual to immediately know if the pace maintained by him is suitable for: - its current physical state (pre-measured by the device); - physiological data measured at time t during the physical activity process - the persistence and intensity during the physical activity process have been involved in reaching time t; - Completion of the remaining calculated distance and/or remaining time of the outdoor physical activity; - remaining difficulties in completing the physical activity (non-limiting examples are: number, length and height of the slope to be encountered, wind direction, technical downhill The opposite flow of swimming, etc.).

As a non-limiting example, the parameters measured by the sensors 20, 30 of the device may be body temperature, heart rate and respiration rate, ECG, pace and stride pace on the X, Y, and Z axes, blood pressure. , aerobic rate, load capacity of the foot, left and right asymmetry, footsteps when riding a bicycle or the pace of body movement during swimming, temperature and humidity level at the active position, air resistance, actual and average speed ( In the flat, climb and fall), height, etc.

The path of the process can advantageously be loaded into the apparatus of the present invention in order to know the change in height at each distance. Thus, if it uses GPS positioning or a speed measuring device coupled to an altimeter, the individual can instantly know the location of the path of physical activity. During this physical activity, the device of the present invention can then evaluate the optimal pace to maintain at a particular time, for example, with respect to the distance traveled and/or the remainder of the travel and/or the height difference encountered.

The portable device of the present invention further includes an algorithm (association, interaction association) required to process all of the data originating from the plurality of sensors and accessories to extract an overall assessment of the individual's immediate status and to indicate its recommendations. The "best pace".

The indication of the "best step" is such that it can be presumed to be a "deceleration" type of indication form that is visually displayed in the portable device. In addition to this indication, an audible, visual, or touchable alarm can be generated to alert the user to an emergency situation. For example, such as (for example, the occurrence of dehydration, an excessively high heart rate with respect to residual distance and altitude changes), when the measured physiological parameter changes, is equivalent to an abnormal tendency. In parallel, the overall assessment and source data from the sensor can be transmitted to a medical team set up for the user to compete.

Description of Figures 1A through 7

Figure 1A is a block diagram of the present invention in which n physiological and environmental sensors produce n time dependent data measurements. Since it is difficult to simultaneously analyze all the curves to draw the overall conclusion from it, the present invention uses algorithm A to have at least one visual indicator form (eg, a histogram) to reproduce various types from the n sensors. Information about different sensors.

Other algorithms B, C, and D can process all of the metrics to provide integrated information, such as an individual's health, status, best pace during outdoor physical activity, etc. (non-exhaustive list).

As shown in FIG. 1B, one or more sensors from the n sensor servers notify a particular indicator, which may be a physiological parameter, an environmental parameter, a performance, or an environment. A simple sensor can be used as a number of indicators. Non-exhaustive examples of indicators and their contents are provided below:

- Movement: pace rhythm (free gait), stride length, stride amplitude (height), foot force on the ground, left and right symmetry, etc.

- Cardiopulmonary: heart rate HR, ECG, systolic ejection, respiratory rate, degree of aerobics, heart rate before, during, and after X minutes;

- other physiological parameters: weight and / or percentage of blood pressure, fat, muscle or bone mass, water or weight percentage, body temperature, etc.;

- Outside air quality: room temperature (living room, bedroom, etc.), temperature range, humidity percentage, noise, light, carbon dioxide level, COV (formaldehyde) level, wind and wind direction, air resistance, outside temperature, etc.

- Positioning: GPS (X, Y, Z axis) data, altimetry (barometer), accelerometer, etc.

-Moving: instantaneous, average speed (flat, up or down), pedal frequency (biking), rhythm, XYZ axis stride (walking-running), limb swipe, air resistance, water flow (during swimming) .

The status, quantity and content of the m indicators and their sensor characteristics can be adjusted depending on the type of evaluation of the application and the final prediction.

Figure 2 depicts an exemplary algorithm in which algorithm A converts data from several sensors into visual indicators (in this example a histogram). This algorithm makes it possible:

- loaded according to the selection of the indicator;

- adding or deleting sensors;

- select a comparison type;

- Instant (time t): is the measurement, comparison time from the value i of the sensor (for example: x minutes, hours or days before time t (before 10 minutes, before 1 hour, before one day, etc.) ))), extracting (i _tx -i)/i _tx from the database corresponding to the value i _tx of _tx to obtain the % difference;

- by selecting from the previously acquired database of n sensors (comparison between the two dates t _initial and t _final ), calculating the _final value Δi corresponding to t _initial to t, calculating Δi/ i _Initially , calculate the maximum change of each sensor during the entire time between t _initial and t _final , and calculate a % difference.

- Present all differences (positive or negative) in the histogram form.

This algorithm is not an exhaustive example, and any other recommended algorithm is suitable as long as it is relatively complex and produces visibility information from data originating from several sensors.

Figure 3 shows an example of a database of nine physiological sensors during the period from March 8, 2008 to March 16, 2008.

The calculation of the difference D in the values of the nine physiological sensors and the calculation of the "D* sensor/value" in March 8 appear in the database.

Any other calculations can be foreseen: maximum variation, regular or random downward or upward trend, and so on.

Figure 4 shows an exemplary visibility index, in which case the histogram pattern obtained for the database imported in Figure 3 is used. The properties of the nine physiological sensors are shown along the x-axis and the percentage variation (or deviation) is displayed along the y-fold. The histogram makes the official down And the percentage down is a quick assessment, otherwise there is no variation in the selected sensor for its particular indicator. Any meaningful variation can be equivalent to an abnormality. A health care professional (such as a physician) can reverse the source information to understand the reason for the change (for example, a 20% increase in pulse pulsation at rest).

Figure 5 shows an exemplary algorithm (in the case of Algorithm B) that can lead to simultaneous evaluation of several indicators in order to present overall information from it. The algorithm makes it possible to: - select an assessment type or target (eg, an individual's health); - load a predetermined indicator; - add or delete an indicator; - a database that supports personal data about the sensor trend .

According to the individual, the upward trend of a given sensor can be normal and presented in green, as shown in the right column of the database shown in Figure 3, or anomalous and presented in red. A downward trend can also be normal (in green) or abnormal (in red). It should be noted that for two different individuals, the color of a single variation can be different. Therefore, for people who are overweight, weight gain will be indicated in red and weight loss will be shown in green. Conversely, for people with rickets, weight gain will be indicated in green and weight loss in red. Variations that are not mutated or that have no effect on the health of the individual are preferably presented in blue. Algorithm B makes it possible: - adjust the database according to the individual and his health; - display the histogram in color (either a single histogram or together), and Figure 6 shows an example - for each indicator, Add all the sensors that appear green, red, and blue; - as shown in Figure 7, visually display each indicator (in pie chart) green (g) - red (r ) - blue (b) "total" (ie is the sum); - add all the overall indicators (green, red, blue) for visual display (eg histogram) Visual information about the health of the individual is as shown in Figure 8D. Figure 6 shows an exemplary color histogram from the algorithm of physiological indicators with: - normal change in weight, percentage of fat, and percentage of water (shown in shades of light in green color and labeled "g" in Figure 6) ;- Abnormal changes in diastolic blood pressure, systolic blood pressure and pulse (shown in dark shades of red color and marked "r" in Figure 6); - constant or unaffected percentage of muscle percentage, percentage of bone mass and percentage of visceral fat Change (in Figure 6, the blue color is shown in white and labeled "b").

Figure 7 shows an exemplary overall indicator, in which case the display produced by the histogram of Figure 6 is normal (green color is shown by light shading), abnormally changed (red color by dark shadow) or not Change the physiological index produced by the sum of all the sensors (shown as a white blue color).

Figure 8D shows an exemplary visual indicator in the form of a pie chart to show the overall health of the individual. The indicator is derived from the sum of the three overall indicators, the overall physiological indicator (Figure 8A), the overall cardiopulmonary index (Figure 8B), and the overall exercise index (Figure 8C). This example is non-implementer and other indicators may be added or modified according to the individual, in the end use, if all trends in the overall health indicator are displayed as normal and/or unchanged (green and / or blue) Color), an authorized person (such as a health care professional) who receives an overall health condition (such as in the form shown in Figure 8D) can derive from this that the individual's health is good. When at least one abnormal change occurs in the overall indicator, they can return to various corresponding overall indicators (Fig. 8A to 8C), and then to each color histogram (as shown in Fig. 6), and the most thick road has abnormal changes. (Fig. 9) The area line analysis of the sensor.

Figure 9 shows an example of abnormal pulse variability at rest during an individual's specific time period (this is March 8-16). Therefore, it can be seen from this: (i) on March 16th The pulse measurement is higher than March 8; (ii) the pulse variation is large (minimum pulse 54/maximum pulse 76).

Figures 10A and 10C show the changes to the data for the specific protocol (such as a walking test at a speed of 5 km/h on a treadmill), and the data disciplined by the "heart" type sensor and motion type sensor, respectively. example. The corresponding overall indicators ("heart" and motion type sensors in this case) are shown in Figures 10B and 10D.

Figures 11 through 13 show examples of time-dependent change data recorded by environmental parameter sensors to measure internal air quality such as temperature (Figure 11), humidity level (Figure 12), and carbon dioxide levels ( Figure 13).

Figure 14 depicts an exemplary algorithm for monitoring an individual's immediate state and indicating its "best pace" during outdoor physical activity (in this case, algorithm C); this algorithm makes it possible for: - selection assessment Purpose or type: In this particular case, the personal status is to indicate its "best pace" during outdoor physical activity; - load predetermined indicators; - increase or decrease indicators; - support individuals with regard to the sensor trend a database of data; - obtaining measurements from the sensor; - determining the sensor t deviation with respect to the personal sensor; - evaluating the remaining distance or remaining time; - depending on the remaining distance or remaining time (simple analysis or The deviation is determined by considering the recorded deviation; - the indication of "deceleration" is displayed, or if the variation is permitted, the process is continued.

The fifteenth is an example of a database of personal data on personal heart rate, wherein For example, it is expressed in terms of heart rate per minute (BPM) according to the speed at the flat or according to its climbing speed. This information is specific to everyone and can be modified.

From this information, it may be used to determine normal or abnormal conditions. Therefore, this can measure BPM _t and the velocity V _t at time _t . If the rate V _t is equal to V3, then the ratio can be determined to be BPM _t -BPM3/BPM _t . If the ratio is negative, no warning will be generated. Conversely, if the ratio is positive, a fatigue condition is detected and a warning is generated (or a "deceleration" command is displayed). Thus, when the individual's heart rate is higher than the normal specific speed, the individual is at an overspeed.

Other options can be predicted to use the program, such as monitoring breathing rate, length of gait, and impact (fatigue leads to more powerful steps).

Figure 16 shows the process evaluation of the distance, which can be obtained by various devices, such as a mountaineering map software or by the individual checking the process (GPS).

Figure 17 depicts another exemplary algorithm (Algorithm C) that can instantly monitor a person's status and indicate its "best gait" during outdoor physical activity.

Depending on the progress that has been completed (for example, shown in one of Figure 16), it can be moved by a specific weight at a specific speed at a particular slope by taking into account or not taking into account air or frictional resistance. To calculate the theoretical power P (or energy).

The algorithm C may be: - taking the measured value of the sensor; - calculating the actual power P (or energy) from the measured value of the sensor (the equations are different or the same equation); The theoretical deviation P of the actual P; - the evaluation of the remaining distance; - the deviation limit (allowance) is determined according to the residual distance (simple analysis or consideration of the recorded deviation); - If necessary, associated with heart rate, stride length, breathing rate; - Display "Deceleration" command or continue if the deviation is acceptable.

Claims (7)

A method of assessing a personal health condition and/or a physiological state, the method performing a plurality of physiological measurement sensors and a plurality of at least one environmental parameter sensor, wherein the method comprises the steps of: Selecting an application type from at least two available application types, the at least two available application types include a health condition or a physiological state of the individual; and selecting a set of indicators based on the selected application type, an indicator and Having at least two sensors associated with each other, and a sensor is associated with the plurality of indicators; a subset of the sensors is preset to be selected based on the set of indicators selected by the preset; determining the set of indicators, each The indicator represents a transient evolution of the data measured by one of the subset of sensors over a period of minutes to days; and after normalization, the overall information is determined by the sum of the indicators, thereby enabling Eventually, it can lead to abnormalities in the health of the individual and/or detection of non-sudden propensity. The evaluation method of claim 1, wherein the method is performed continuously, randomly, within a predetermined time range or distance, or during a predetermined test protocol period. The evaluation method of claim 1 or 2 of the patent application is characterized in that the overall information can be visually, audibly or tactilely represented. The method of assessment of claim 3, wherein the method comprises the step of transmitting the overall information and possibly at least a portion of the indicator and/or the measured data to a health care professional. The method of claim 4, wherein the method further comprises: selecting a step of at least one parameter of the integrated activity; and considering the overall information and possibly at least one of the indicator and/or the measured data. And the at least one selected parameter, during which the physical activity is determined to take the step of one of the best future steps. A device for assessing a personal health condition and/or a physiological state, comprising means for measuring and/or receiving a plurality of sensors measured by a physiological measurement and data transmitted by a plurality of sensors of at least one environmental parameter, The device further comprises: means for selecting, by a user, an evaluation type from at least two available evaluation types; presetting a device for selecting a subset of the sensors based on the selected evaluation type; The means for group indicators is used to represent a transient evolution of data measured by one of the subset of sensors over a period of minutes to days; and after normalization, by the sum of the indicators A device of overall information whereby the detection of an abnormality and/or non-sudden tendency that ultimately results in a change in the health of the individual. A computer software program downloaded from a communication network and/or stored on a machine readable medium and/or executed by a microprocessor, wherein the computer software program includes code instructions to execute the patent application scope 1 The method of at least one of the items to item 5.