Classifications

• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B5/00—Measuring for diagnostic purposes; Identification of persons
  • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
• • A—HUMAN NECESSITIES
  • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
  • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
  • A61B5/00—Measuring for diagnostic purposes; Identification of persons
  • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
• • G—PHYSICS
  • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
  • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
  • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
  • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising

Definitions

• the invention relates to an automated system for measuring the degree of motivation in an individual and the associated method.
• the invention finds a particularly advantageous, but not exclusive, application in the field of medical devices for the detection and quantification of the degree of motivation of a person.
• the invention finds application in the field of the pharmaceutical industry for measuring the effectiveness of a physical and / or medicinal treatment.
• the fast walking speed provides information on the state of cognitive functions.
• the exploration can stop there.
• the origin of this fall of performance in the case where one is in a doubtful or abnormal cognitive zone, it is impossible to know the origin of this fall of performance.
• the invention aims to fill this need.
• the invention uses means for measuring the running speed of a user in four different types of market.
• the first type of walk A consists of a walk at usual speed without any cognitive task associated during this walk.
• the second type of step B consists of a step at usual speed during which the subject exercises a cognitive task, such as counting backwards and out loud.
• the third type of walk C consists of walking at the fastest speed possible without running, called brisk walking, and without any associated cognitive task during this walk.
• the fourth type of step D consists of a brisk walk during which the subject exercises a cognitive task, such as counting down and out loud.
• the system also comprises means for calculating the differentials between the speeds of the different types of steps measured.
• the system includes a memory storing threshold values previously collected in control populations from average values of gait speeds and their standard deviation.
• each threshold corresponds to an average speed decreased or increased by a standard deviation.
• the system also includes a memory storing the reference differentials between the different reference gears.
• This memory stores at least the differential between the usual walking speed and the fast walking speed, including when a cognitive task is requested.
• the intensity levels of the disorders may correspond to a level of color gradually varying between the lightest color (absence of disorder) and the darkest color high disorder (the most severe disorders).
• the invention therefore relates to a system for transmitting a signal relating to the state of motivation of a user, characterized in that it comprises:
• a walking speed referred to as the usual walking speed without any cognitive task, measured using the sensor when the user is operating at normal speed
• a walking speed called a fast walking speed without cognitive task, measured with the help of the sensor when the user is traveling at a fast speed
• a program memory comprising:
• the data memory also stores: - a walking speed, called the usual walking speed with cognitive task, measured using the sensor when the user is walking at a normal speed while performing a cognitive task ,
• a walking speed called a fast walking speed with a cognitive task, measured using the sensor when the user is traveling at a fast speed while performing a cognitive task
• program memory comprising:
• the second motivation differential a program for calculating a differential, called the second motivation differential, between the usual walking speed with cognitive task and the fast walking speed with cognitive task and for determining a state of the motivation of the user based on the comparison between said second calculated motivation differential and a second motivation reference differential and / or the value of said second reference differential in said user; this state of motivation being more precise than the state of motivation determined from the first motivation differential,
• the program memory further comprises:
• the program memory further comprises:
• a program for calculating a differential referred to as the second cognitive difference, between the fast walking speed without cognitive task and the fast walking speed with cognitive task and for determining the user's cognitive state as a function of the comparison between the second a cognitive differential and a cognitive reference differential and / or the value of said second cognitive differential in said user; this cognitive state being more precise than the cognitive state determined from the first cognitive differential, a program for controlling the emission of a signal corresponding to this cognitive state.
• system further comprises a measuring device for measuring the lift polygon and the walking polygon, and
• a program for comparing the average values of the lift polygon and the average values of the deviation at each step of the individual with reference values stored in memory, - Based on this comparison and the state of cognitive performance and motivation, a program controls the transmission means to emit a signal corresponding to a measurement of cardiocirculatory capabilities and the possible impact of this measure in the fall in performance .
• the system includes a body temperature sensor for measuring the body temperature of the individual,
• a program controls the transmission means to emit a signal corresponding to a measurement of cardiocirculatory capabilities and the possible impact of this measure in the fall in performance .
• the system comprises a program controls the transmission means for transmitting a signal corresponding to a measurement of cardio-circulatory capabilities and the possible repercussion of this measurement in the fall in performance, this signal being proportional to the number of disturbed variables.
• the system comprises:
• the invention further relates to a method for transmitting a signal relating to the state of motivation of a user, characterized in that it comprises the following steps: measuring a walking speed, called the usual running speed without cognitive task using a speed sensor when the user is running at normal speed,
• a walking speed called a fast walking speed without cognitive task
• the method further comprises the following steps:
• a walking speed referred to as the usual walking speed with a cognitive task
• the sensor when the user is walking at a normal speed while performing a cognitive task
• a walking speed called a fast walking speed with a cognitive task
• a cognitive task measured using the sensor when the user is traveling at a fast speed while performing a cognitive task
• the method further comprises the following steps: calculating a differential, called the first cognitive difference, between the usual walking speed without cognitive task and the usual walking speed with cognitive task,
• the method further comprises the following steps:
• the method comprises the step of generating a sound and / or light signal corresponding to an absolute normality of all the measured variables when it is detected that the four measured gait speeds are normal, and that the measured differentials are normal.
• the method comprises the step of generating a sound and / or light signal corresponding to an absolute abnormality of all the measured variables when it detects that the speeds of the four types of steps measured are all abnormal. , and that the measured differentials are all abnormal.
• Figure 1 a schematic representation of a system according to the invention for determining the motivation state of an individual from speed measurements in four different types of market;
• Figure 2 a schematic representation of the steps of the method according to the invention.
• Figure 3 a schematic representation of a device according to the invention for calculating different reference thresholds, and to detect a state of motivation of an individual from speed measurements in two different types of market;
• Figure 4 a schematic representation of the steps of the method according to the invention implemented with the system of Figure 3.
• Figure 1 shows a system 1 comprising a microprocessor 10 in relation with a memory 1 1 of programs, a memory 12 of data and with a sensor 13 speed measurement and means 14 to emit a visual signal and / or sound. These elements are interconnected via a data bus 20.
• the sensor 13 may be a speed sensor preferably provided with an accelerometer, or a GPS position sensor.
• the sensor 13 can take any other suitable form such as that of a pedometer, a carpet with sensors, or a smart shoe.
• the means 14 may in particular take the form of light diodes, a screen or a buzzer.
• the sensor 13 is used to measure the running speed of a user in four different types of walk.
• the first walking speed VA is calculated in a first type of step A consisting of a walk at usual speed without any cognitive task associated during this walk.
• VA a user walks on a flat surface, with his shoes, over a distance of 25 meters round trip.
• the second walking speed VB is calculated in a second type of step B consisting of a step at usual speed during which the subject exercises a cognitive task, such as counting backwards and out loud.
• step A flat surface, usual shoes and distance of 25 meters round-trip
• step A flat surface, usual shoes and distance of 25 meters round-trip
• voice for example backwards from 50 to 0 or from unit to unit, or five by five or two by two, which complicates the task.
• the third walking speed VC is calculated in a third type of step C consisting of a walk at the fastest possible speed of the user without running, called brisk walking, and without any cognitive task associated with it. walk.
• the user is operated under the same conditions as in the first type of step A (flat surface, usual shoes and distance of 25 meters round trip).
• the fourth walking speed VD is calculated in a fourth type of step D consisting of a brisk walk during which the subject exercises a cognitive task, such as counting down and out loud.
• the memory 1 1 also includes a program 1 1 .1 for calculating the differentials D1-D4 between the speeds of the different types of steps measured for the user.
• the program 1 1 .1 calculates a differential D1 between VA and VC, said first differential motivation, to measure the ability to accelerate therefore measuring the degree of motivation.
• the program 1 1 .1 also calculates a differential D2 between VA and VB, said first cognitive differential, to detect a fall in cognitive performance.
• the program 1 1 .1 also calculates a differential D3 between VC and VD, said second cognitive differential, to detect a fall cognitive performance that would not have been detected by the differential D2 between VA and VB.
• the data memory 12 stores at least four reference values VAref-VDref corresponding respectively to a speed of a type of operation.
• the first value VAref is associated with the speed of VA.
• the second value VBref is associated with the running speed of VB.
• the third value VCref is associated with the running speed of VC.
• the fourth value VDref is associated with the running speed of VD.
• these VAref-VDref reference values are collected in control populations from average values of walking speeds and their standard deviation.
• a reference value VAref-VDref corresponds to an average speed calculated for a given type of step decreased or increased by a standard deviation.
• the data memory 12 further stores reference differentials D1 -DN between the different reference speeds.
• This memory stores at least the differential between the usual walking speed and the fast walking speed, including when a cognitive task is requested.
• the memory 6 contains a reference differential D1 ref, said first differential reference motivation, corresponding to the difference between VAref and VCref.
• the memory 6 contains a differential D2ref, referred to as the first cognitive reference differential, corresponding to the difference between VAref and VBref.
• the memory 6 contains a differential D3ref, said second differential of cognitive reference, between VCref and VDref.
• the memory 6 contains a differential D4ref, said second differential reference motivation, corresponding to the difference between VBref and VDref.
• the program 1 1 .2 can also store in the memory 12 stores the measured speed values VA-VD and the speed differentials D1-D3 calculated from these values.
• VA-VD running speed is normal when it is equal to or greater than the corresponding VAref-VDref reference value obtained in the healthy population and is abnormal when this operating speed VAref- VDref is less than this reference value VAref-VDref.
• a differential D1 -D3 between two gait speeds is normal when it is equal to or greater than a reference differential D1 ref-D3ref obtained in the healthy population; and that it is abnormal when this differential D1-D3 is lower than this reference differential D1 ref-D3ref.
• the intensity levels of the disorders may correspond to a level of color gradually varying between the lightest color (absence of haze which corresponds to small or zero deviations from the reference values) and the darkest color (disorders less than more severe, which correspond to large deviations from the reference values).
• the program 1 1 .3 compares the first motivation differential D1 (between the usual walking speed without cognitive task VA and the fast walking speed without cognitive task VC) with the first differential D1 ref of reference of motivation in order to 'deduce the state of motivation of the user. This motivation state can also be determined and / or refined according to the value as such of said first motivation differential D1 in said user.
• the program 1 1 .4 controls the transmission of a signal B1 (step 304) corresponding to this state of motivation.
• the program 1 1 .3 compares the second motivation differential D4 (between the usual walking speed with cognitive task VB and the fast walking speed with cognitive task VD) with the second differential D4ref of motivation reference in order to deduce a state of motivation from the user.
• This motivation state can also be determined and / or refined according to the value as such of said second motivation differential D4.
• the program 1 1 .4 controls the transmission of a signal B2 (step 305) corresponding to this state of motivation.
• the motivation state thus determined is more accurate than that determined from the first differential D1 motivation and thus allows to detect a drop in motivation that would not have been detected using the differential D1.
• the program 1 1 .3 compares the first cognitive differential D2 (between the usual walking speed without VA cognitive task and the usual walking speed with cognitive task VB) with the first cognitive reference differential D2ref; to deduce the cognitive state of the user. This cognitive state can also be determined and / or refined according to the value as such of said first cognitive differential D2.
• the program 1 1 .4 controls the transmission of a signal B3 (step 306) corresponding to this cognitive state.
• the program 1 1 .3 compares the second cognitive differential D3 (between the fast walking speed without cognitive task VC and the fast walking speed with cognitive task VD) with the second cognitive reference differential D3ref in order to deduce therefrom the cognitive state of the user.
• This cognitive state can also be determined and / or refined according to the value as such of said second cognitive differential D3.
• the program 1 1 .4 controls the transmission of a signal B4 (step 307) corresponding to this cognitive state.
• the cognitive state thus determined is more accurate than that determined from the first cognitive differential D2 and thus makes it possible to detect a fall in cognitive performance that would not have been detected by means of the differential D2.
• a program 1 1 .4 controls the means 14 to generate, in a step 308, a sound signal S1 and / or light corresponding to an absolute normality of all the measured variables. In one example, this signal is green.
• the program 1 1 .4 controls the means 14 to generate, in a step 309, a sound signal S2 and / or light corresponding to an absolute abnormality of all variables measured. In one example, this signal is red.
• the program 1 1 .4 controls the means 14 to generate, in a step 310, a sound signal S3 and / or light corresponding a fall in cognitive performance not related to a drop in motivation . This means that this fall in cognitive performance is probably related to a neuro-biological and / or neuro-degenerative process.
• the program 1 1 .4 controls the means 14 to generate, in a step 31 1, a sound signal S4 and / or light corresponding to a fall in cognitive performance linked to a drop in motivation.
• the program 1 1 .3 detects that the usual operating speeds of type B, C and D are normal, and the operating speed of type A is abnormal, and that the differential between the operating speed VC with the running speed VA is normal or even much higher than the average, then the program 1 1 .4 controls the means 14 to generate in a step 312, a sound signal S5 and / or light corresponding to an important motivation capacity of the user.
• a sound signal S5 and / or light corresponding to an important motivation capacity of the user.
• other states of the velocity and differential variables between these velocities corresponding to a state of motivation or to other mental states of the subject may be developed without departing from the scope of the invention.
• This measuring apparatus 17 takes for example the form of a gyrometer and / or a three-dimensional accelerometer.
• the system includes a body temperature sensor 19 for measuring the body temperature of the individual.
• Program 1 1 .3 compares the measured temperature with reference temperatures. Based on this comparison and the state of the cognitive performances and the motivation, the program 1 1 .4 controls the transmission means 14 to emit a signal corresponding to a measurement of the cardio-circulatory capacities and the possible repercussion of this measure in the fall of the performances.
• An arterial pulse measurement sensor 22 measures the arterial pulsation of the user. Program 1 1 .3 compares the measured arterial pulsation with reference arterial pulsations.
• the program 1 1 .4 controls the transmission means 14 to emit a signal corresponding to a measurement of cardiocirculatory capabilities and the possible impact of this measurement in the fall in cognitive performance. [057]
• the program 1 1 .4 controls the transmission means 14 to output a signal corresponding to a measurement of cardiocirculatory capabilities and the possible impact of this measurement in the performance drop, this signal being proportional to the number of disturbed variables.
• the invention may thus use a three-dimensional gyrometer and / or accelerometer and / or a body temperature sensor and / or an arterial pulse sensor. Depending on the number of abnormalities detected, we can assess the cardio-circulatory state of the individual. [059]
• the system could be used as a test in the field of the pharmaceutical industry to measure the effectiveness of a physical and / or drug treatment. Note that the system according to the invention may also be used as a training system or a fun system that allows the user to improve its cognitive and physical performance.
• Figure 3 shows an electronic device 100 according to the invention comprising a microprocessor 101, a display screen 102, input means 103, such as a keyboard, a data memory 104, a program memory 105 and a communication bus 106 connecting the aforementioned elements 101 -105.
• the group of healthy individuals final G 'said "normal reference group” contained M 70 individuals.
• patients had depressive illnesses or anxiety disorders defined by the DSM-IV-TR manual confirmed by the Beck Depression Inventory, the HAMILTON Anxiety Scale, or other mental disorders.
• a first step E1 they were asked to walk at their usual walking speed, that is to say the speed at which he usually walks without constraint (weight, weight, particular instruction given).
• the time Tiu walk at the usual speed on the course was measured in seconds using a stopwatch.
• a first P1 program allowed the user acquires and stores the running times Tiu for the groups G 'and H' in a first database BD1 of the memory 104.
• the database BD1 thus contains the pairs of usual walking speed Viu and fast Vir, and the delta variations between these speeds for all the people of groups G 'and H'.
• the two groups G 'and H' were given a scale of self-assessment of their motivation in their personal and professional life, this scale ranging from 0 to 10, for example, 10 being the maximum motivation and 0 the highest. minimum motivation.
• the program P3 uses a statistical calculation program P3, we obtain in the two groups G 'and H' the correlations (Pearson coefficients) between the different variables studied (variables of the Viu, Vir and delta psychometric variables). Then, from these correlations, the program P3 establishes multiple regression curves between all the variables and we eliminate step by step the variables that are the least significant to keep only those that explain the correlation alone.
• the program P3 makes it possible to establish graphical representations D1 -D3 in the form of scatter plots whose ordinate corresponds to the scores of the motivation and depression scales Si and the abscissa corresponds to the running speed a) Usual Viu, b ) fast Vir and c) unlike delta between these two speeds.
• the program P3 calculates, in a step E3, from the normal reference group G 'the normality thresholds of all the aforementioned variables, namely the threshold value K1 for the usual operating speed Viu, the threshold value K2 for the fast walking speed Vir, the threshold value K3 for the difference delta between the speeds Vir and Viu below which the psychometric tests measured previously in the normal reference group G 'are abnormal and above which the psychometric tests measured previously in the normal reference group G 'are normal.
• the threshold value K1 of normality for the usual speed Viu is of the order of 1, 4m / s plus or minus 0.1 m / s.
• the threshold value K2 of normality for the fast speed Vir is of the order of 1 .70m / s plus or minus 0.1 m / s.
• the threshold value K3 of normality for the variation between these speeds is of the order of 0.4m / s.
• a program P4 transmits, in a step E4, the threshold values K1, K2 and K3 via transmission means 107 to one or more devices A1 -AN.
• These A1 -AN devices are preferably portable type devices.
• Each A1 -AN device comprises receiving means 108, a microprocessor 201, a display screen 202, a data memory 203, a program memory 204 and a communication bus 205 connecting the elements 108 to each other. , 201-205.
• the A1 -AN device further comprises a sensor 206 which can be a preferably speed sensor provided with an accelerometer, or a GPS-type position sensor. Alternatively, the sensor 206 can take any other suitable form such as that of a pedometer, a carpet with sensors, or a smart shoe.
• the apparatus A1 -AN also has a button 207 on / off to control the beginning and the end of the implementation of the method according to the invention.
• a program P7 controls the receiving means so as to receive and store the threshold values K1, K2, K3 in the data memory 203.
• the transmission means may be radio-type or wired means.
• the user stores the threshold values K1, K2, K3 directly in the memory 203 by means of an input means of the apparatus (not represented), or the values K1, K2, K3 are stored in the memory 203 at the factory during the manufacture of the device A1 -AN.
• a program P8 initializes the method according to the invention and displays on the screen instructions to the user of the type "Walking normally to your usual pace.
• the program P9 controls the sensor 206 so as to measure the time Tiu of course over this distance of 50m, in order to deduce the usual walking speed from the individual. This measured speed value Viu is stored in the data memory 203 of the device A1 -AN.
• the program P8 displays on the screen instructions to the user of the type "Walk without running as fast as possible.” Once the program P8 has detected that the distance of 50m will have been traversed instructions of the type "You can now stop” will appear on the screen 202.
• the program P9 controls the sensor 206 so as to measure the time Course shot on this distance of 50m, in order to deduce the speed of fast walking Vir of the individual. This measured speed value Vir is stored in the data memory 203 of the device A1 -AN.
• the program P9 also measures the delta difference between the fast walking speed Vir and the usual running speed Viu and stores it in the memory 203.
• the program P10 compares, in a step E6, the measured values Viu and Vir as well as the delta difference between these speeds Vir and Viu with the corresponding threshold values K1 and K2 and K3.
• the program P1 1 displays, in a step E7, the result of the test according to this comparison.
• the program P1 1 controls the display of a signal indicating that the depression / motivation test is negative, that is to say that the thymic functions of the individual are normal, for example by emitting a sound and / or visual color signal green.
• the program P1 1 controls the display of a signal indicating that the depression / motivation test is positive, for example by emitting a red sound and / or visual signal. This reflects a drop in motivation and a depressive state.
• a signal corresponding to a degree of motivation drop as a function of a deviation of the measured variables Viu, Vir and delta with respect to the corresponding threshold values K1, K2 and K3.
• This signal may for example take the form of a signal whose light intensity or color varies depending on the level of motivation drop.
• the delta parameter indicates the level of the motivation drop and the intensity of the depressive elements.
• the variables Viu, Vir and delta correspond respectively to the speeds VA and VC and to the first differential motivation D1.
• the threshold value K3 corresponds to the first reference differential of motivation D1 ref.
• the statistical method for determining the threshold K3 described above may of course be generalized by those skilled in the art for the calculation of the other reference values VAref, VBref, VCref, VDref, D2ref, D3ref, and D4ref.
• the step acceleration capability that is to say accelerations on orders, is also measured and compared with values previously calculated from the individuals of the group G '.
• each parameter Viu, Vir, delta, and the acceleration capacity taken alone is correlated with coefficients different to the psychometric score Si.
• the combination of at least two of these parameters in a global parameter gives a result. more precise.
• the screen 202 is replaced or used in combination with LED type lamps 210, for example of different colors, and / or a loudspeaker making it possible to broadcast the instructions to the user and emitting different sounds depending on the result of the comparison.

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