RU2422085C2 - Method of continuous control of person's motor activity - Google Patents

Abstract

FIELD: medicine.

SUBSTANCE: invention relates to field of ergometry and is intended for satisfying human need in continuous control over age changes of motor activity. Method is characterised by the following: number of changes of person's body or arms or legs acceleration for time interval T is registered, intensity of person's activity for time interval T₁ is determined as relative number of time T intervals, in each of which number of changes of person's body or arms or legs acceleration is larger than in preceding and following interval T, or smaller than in preceding and following interval T. On indicator number of changes of person's body or arms or legs acceleration and intensity of person's activity for time interval T₁ is displayed, as well as their predicted values for time interval T₂ from current and preceding time moments, which differ by time interval T₃. Time interval T equals 600 seconds, time interval T₁ equals 24 hours, time intervals T₂ and T₃ take respectively values 7T₁ and T₁, 49T₁ and 7T₁, 360T₁ and 30T_1, 4380T₁ and 365T₁.

EFFECT: method ensures increase of accuracy of continuous control of person's motor activity.

10 dwg

Description

FIELD OF THE INVENTION

The invention relates to the field of ergometry, namely to the measurement and control of motor activity of a person. Designed to meet human needs for continuous monitoring of age-related changes in motor activity.

Motor activity is the number of changes in the acceleration of the trunk or legs or arms of a person over a fixed period of time.

The technical result is to increase the accuracy of continuous monitoring of motor activity of a person.

BACKGROUND

The inventive method for continuous monitoring of motor activity of a person has no analogues.

A person controls his motor activity for self-regulation of its age-related changes by comparing the motor activity of his behavior under identical conditions at different periods of his life.

Such control has the following disadvantages:

1) there is no quantitative assessment of motor activity and tension of human activity, there is only a qualitative assessment (more, less, equal in comparison with the previous assessment);

2) there is no quantitative forecast of changes in motor activity and tension of human activity;

3) the same conditions in which the comparison takes place, it is necessary to create or it is necessary to wait for such conditions to arise, additional efforts on the part of the person are required to ensure the same conditions for comparison;

4) control is not continuous, therefore, in the intervals of control, self-regulation of age-related changes in motor activity of a person is inaccurate.

The reason that impedes the accuracy of continuous monitoring of human motor activity is the limited amount of short-term human memory.

The amount of short-term human memory is 5–9 units of memorized material, for example, symbols, numbers, signals, which is known, as a rule, by J. Miller (Prisnyakov V.F., Prisnyakova L.M. “Mathematical modeling of information processing by the operator of human-machine systems "- M.: Mechanical Engineering, 1990, p.198). To measure motor activity, provided that the maximum frequency of change in the acceleration of the trunk or legs or arms of a person is one change per second, it is necessary to record the change in the acceleration of the trunk or legs or arms of a person every half second (according to the sampling theorem of V.A. Kotelnikov (I. Gonorovsky) . "Radio-technical circuits and signals" - M .: Soviet radio, 1971, p. 98), and remember the registration result. After 2 ÷ 4 seconds, the entire amount of short-term memory will be filled. In long-term human memory according to P. B. Nevelsk omu (Lomov BF “Man and Technique”, M: Soviet Radio, 1966, p. 215) passes on the information content of the sample stored in short-term memory, for example, its average value.

The time τ attributable to the storage of one element in long-term memory (Prisnyakov V.F., Prisnyakova L.M. "Mathematical modeling of information processing by the operator of human-machine systems" - M.: Mechanical Engineering. 1990, p. 56, (2.4)) find like this:

where τ is the time taken to memorize one element in long-term memory;

I _∑ is the number of memorized elements;

R is the rate of entry of elements into memory;

T _p - time constant of memory.

Under the assumption that the time constant of the memory T _p depends only on the rate R of receipt of elements in the memory, for T _p use the expression

where T _p - the time constant of memory;

R is the speed of receipt of elements in memory (Prisnyakov V.F., Prisnyakova L.M. "Mathematical modeling of information processing by the operator of human-machine systems" - M .: Mechanical Engineering. 1990, p.122, (3.2)).

The time τ attributable to storing one element in long-term memory, we find by the formula (we substitute formula (2) in the formula (1))

where τ is the time taken to memorize one element in long-term memory;

I _∑ is the number of memorized elements;

R is the rate of entry of elements into memory.

At a rate R of elements entering the long-term memory equal to 0.25 elements per second (one average value of samples in 4 seconds) and the number I _{∑ of} memorized elements is 5, the time τ of memorizing one element will become more than 4 seconds. The storage time of one element will exceed the interval of receipt of elements in the memory. Registration of changes in the acceleration of the trunk or legs or arms of a person and the exact memorization of the registration results will become impossible after 20 seconds (5 elements arrived in memory in 20 seconds).

SUMMARY OF THE INVENTION

The problem to which the invention is directed, is to increase the accuracy of continuous monitoring of motor activity of a person.

The technical result of the invention is to improve the accuracy of continuous monitoring of motor activity of a person.

Improving accuracy is achieved due to the fact that continuously record the number of changes in the acceleration of the trunk or legs or arms of a person over a time interval T, determine the intensity of human activity over a time interval T ₁ as the relative number of time intervals T, in each of which the number of changes in body acceleration or of a person’s legs or arms more than in the previous and subsequent interval T, or less than in the previous and subsequent interval T, the number of changes in the acceleration of the trunk or legs or arms is displayed on the indicator to and the intensity of human activity for the time interval T ₁ , as well as their predicted values for the time interval T ₂ from the current and previous time points that differ by the time interval T ₃ , the time interval T is 600 seconds, the time interval T ₁ is 24 hours, time intervals T ₂ and T ₃ take, respectively, the values of 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ .

The essential features of the method of continuous monitoring of motor activity of a person are as follows.

1. Register and save the number of changes in the acceleration of the trunk or legs or arms of a person for the time interval T, the time interval T is 600 seconds.

2. Determine the intensity of human activity for the time interval T ₁ the time interval T ₁ equal to 24 hours.

3. The indicator displays the number of changes in the acceleration of the trunk or legs or arms and the intensity of human activity for the time interval T ₁ , as well as their predicted values for the time interval T ₂ from the current and previous time points that differ by the time interval T ₃ , the time interval T is 600 seconds, the time interval T ₁ is 24 hours, the time intervals T ₂ and T ₃ take, respectively, the values 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ .

Obtaining a technical result, which consists in increasing the accuracy of continuous monitoring of a person’s physical activity, is possible through the use of a combination of essential features, since the essence of these features is as follows.

1. Continuously record and save the number of changes in the acceleration of the trunk or legs or arms of a person over a time interval T.

The time interval T is experimentally selected equal to 600 seconds. During this time, an average change in the type of human activity does not occur.

A person cannot accurately continuously record and store the number of changes in the acceleration of the trunk or legs or arms over the time interval T due to the limited amount of short-term memory.

Register and save the number of changes in the acceleration, trunk or legs or arms of a person, since changes in the acceleration of the trunk or legs or arms of a person occur when a person makes movements.

Saving the number of changes in the acceleration of the trunk or legs or hands of a person over a time interval T is necessary to determine the total number of changes in the acceleration of the trunk or legs or hands of a person over a time interval T ₁ and to determine the intensity of human activity over a time interval T ₁ as a relative number of time intervals T, in each of which the number of changes in the acceleration of the trunk or legs or arms of a person is greater than in the previous and subsequent interval T, or less than in the previous and subsequent interval T. Saving the number from changes in the acceleration of the trunk or legs or arms of a person over a time interval T is also necessary to determine the predicted values of the total number of changes in the acceleration of the trunk or legs or arms of a person over a time interval T ₁ and the intensity of human activity over a time interval T ₁ , and is predicted for a time interval T ₂ from the current and previous time points, differing by the time interval T ₃ , the time interval T is equal to 600 seconds, the time interval T ₁ is equal to 24 hours, the time intervals T ₂ and T ₃ take, respectively, 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ .

2. Determine the intensity of human activity for the time interval T ₁ the time interval T ₁ equal to 24 hours.

Tension - the magnitude of the efforts exerted by a person to solve the problem (Leonova AB Psychodiagnostics of functional states of a person. M: Moscow State University, 1984 - 200 p.). Without determining the tension of human activity, the assessment of a person’s motor activity is absolute, not tied to the physiological state of a person, and therefore inaccurate. To increase the accuracy of control of human motor activity, it is necessary to determine the intensity of human activity, as a condition under which the value of human motor activity is obtained.

An indicator of how often a person's motor activity changes from increasing to decreasing and from decreasing to increasing is used as an assessment of the tension of human activity. The relative number of time intervals T is determined, in each of which the number of changes in the acceleration of the trunk or legs or arms of a person is greater than the previous and subsequent interval T, or less than the previous and subsequent interval T. To assess the intensity of human activity E use the ratio

where E is an assessment of the tension of human activity;

T is the time interval of 600 seconds during which the number of changes in the acceleration of the trunk or legs or arms of a person is recorded;

T _a is the time interval, consists of an integer number of T intervals, starts simultaneously with the T ₁ interval and ends when the change in the acceleration of the trunk or legs or arms of a person is stopped or T ₁ , T _a ≤T _{1 is} reached (Fig. 1 shows the T interval _a );

N _e is the number of time intervals T, in each of which the number of changes in the acceleration of the trunk or legs or arms of a person is greater than the previous and subsequent interval T, or less than the previous and subsequent interval T (in figure 1, the ordinate of point A is measured over a time interval T, the number of changes in the acceleration of the trunk or legs or arms of a person, it is greater than in the previous and subsequent interval T).

The more often a person’s physical activity changes, the more intense the person’s activity is, since this is associated with the costs of the human body adapting to changing conditions of activity.

3. The indicator displays the number of changes in the acceleration of the trunk or legs or arms and the intensity of human activity for the time interval T ₁ , as well as their predicted values for the time interval T ₂ from the current and previous time points that differ by the time interval T ₃ , the time interval T ₁ is 24 hours, the time intervals T ₂ and T ₃ take, respectively, the values 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ . The quantitative values of the time intervals T ₁ , T ₂ , T ₃ are selected close to the time periods that a person uses in his life, day, week, month, year, year. To increase the accuracy of monitoring individual human motor activity, prediction of changes in human motor activity is used, which gives an additional characteristic of the current value of individual motor activity by its effect on the predicted values of individual motor activity and tension of human activity. Display the results of the current and previous forecast, differing in time by the time interval T ₃ , which allows you to evaluate the dynamics of change in the forecast.

The display on the indicator of the current and predicted values of individual motor activity and tension of human activity makes the results of continuous monitoring of human motor activity accessible to a person through a visual analyzer. The control results are used by humans for self-regulation of motor activity.

The figure 4 shows the results of a study of the motor activity D of a person without using the proposed method and using the proposed method for continuous monitoring of motor activity of a person.

The figure 5 shows the results of a study of tension E of human activity without using the proposed method and using the proposed method for continuous monitoring of motor activity of a person.

When using the control of motor activity of a person in accordance with the claimed method, motor activity D and tension Ј of human activity are grouped around the values characteristic of option 2 of figure 4 and figure 5. Option 2 has the highest indicators of well-being (C), activity (A) and mood ( H) of a person, as shown by the results of the analysis of well-being (C), activity (A), mood (H) of option 2, presented in figure 3.

The results of continuous monitoring of a person’s physical activity are used by a person to self-regulate their physical activity, since the proposed method for continuous monitoring of a person’s physical activity increases the accuracy of continuous monitoring of a person’s physical activity in comparison with a person’s self-monitoring of his physical activity.

BRIEF DESCRIPTION OF THE DRAWINGS

Figure 1 is a graph of changes in motor activity of a person during the time interval T ₁ equal to 24 hours. The ordinate shows the number of changes in the acceleration of the human body for a time interval T equal to 600 seconds. The time interval along the abscissa axis is counted relative to the moment the sensor of motor activity is turned on. The time interval T _a , during which there is motor activity, is highlighted. The number of measurements of motor activity per time interval T _a is equal to the ratio of T _a to T. The graph consists of individual measurement points connected by lines. Some points, for example point A, are the extrema of the graph.

The intensity of human activity is defined as the relative number of time intervals T, in each of which the number of changes in the acceleration of the trunk or legs or arms of a person is greater than the previous and subsequent interval T, or less than the previous and subsequent interval T. To assess the tension of human activity E use ratio

where E is an assessment of the tension of human activity;

T is the time interval of 600 seconds during which the number of changes in the acceleration of the trunk or legs or arms of a person is recorded;

T _a is the time interval, consists of an integer number of T intervals, starts simultaneously with the T ₁ interval and ends when the change in the acceleration of the trunk or legs or arms of a person is stopped or T ₁ , T _a ≤T _{1 is} reached (Figure 1 shows the T interval _a );

N _e is the number of time intervals T, in each of which the number of changes in the acceleration of the trunk or legs or arms of a person is greater than the previous and subsequent interval T, or less than the previous and subsequent interval T (in figure 1, the ordinate of point A is measured over a time interval T, the number of changes in the acceleration of the trunk or legs or arms of a person, it is greater than in the previous and subsequent interval T).

Figure 2 is a schematic diagram of the motor activity sensor on the ATtiny 2313 microcontroller. The measuring element of the sensor is a coil L with a magnetic ball M inside, the movements of the magnetic ball cause current in the coil, an analog comparator of the microcontroller registers the current change. Resistor R ₁ determines the threshold of the analog comparator of the microcontroller; resistors R ₂ , R ₃ , R ₄ - current limiters; VD - LED, power indicator; Z is a quartz resonator.

Figure 3 - the results of an experiment to study the subjective assessment of well-being (C), activity (A), mood (H) of a person at the end of the day. Days subjectively differ by a person in tension:

day is easier than average (1), average day (2), harder than average (3). For a subjective assessment of well-being, activity, tension, we used the test of differentiated self-esteem of the SAN (Batarshev A.V. Psychology of individual differences.- M .: VLADOS, 2000. - p.159-161.).

Figure 4 - the results of a study of the motor activity D of a person for an interval of time T ₁ equal to 24 hours, without using the proposed method and using the proposed method for continuous monitoring of human motor activity. The numbers 1, 2, 3 denote the days on which the assessment of human motor activity was carried out. Days subjectively differ by a person in tension:

a day is easier than average (1), an average day (2), a day harder than average (3). The average estimates of human locomotor activity on the corresponding days are given.

Figure 5 - the results of the study of tension E of human activity for a time interval T ₁ equal to 24 hours, without using the proposed method and using the proposed method for continuous monitoring of motor activity of a person. The numbers 1, 2, 3 indicate the days on which the evaluation of the tension of human activity was carried out. Days subjectively differ by a person in tension:

a day is easier than average (1), an average day (2), a day harder than average (3). The average estimates of the intensity of human activity on the corresponding days are given.

Figure 6 is an example of an indication of a change in a person's locomotor activity during a T ₁ time interval of 24 hours. Here, the ordinate shows the number of changes in the acceleration of the human body over a time interval T equal to 600 seconds. The time interval along the abscissa axis is counted relative to the moment the sensor of motor activity is turned on. The values of the total for T ₁ motor activity of a person and the values of the current intensity of human activity are given.

Figure 7 is an example of an indication of the forecast of changes in the total for T ₁ motor activity of a person. The ordinate shows the values of the total for T _{1 of} the person’s motor activity, the forecast interval T ₂ is 7T ₁ , the interval T ₃ is T ₁ , the previous forecast of the person’s physical activity is shown by a dashed line. The values of current, predicted tension and previous forecasted tension of human activity are given. The time interval T ₁ is equal to 24 hours.

Figure 8 is an example of an indication of the forecast of changes in the total for T ₁ motor activity of a person, the ordinate axis shows the values of the total for T _{1 of} motor activity of a person averaged over the interval T ₃ , the forecast interval T ₂ is 49T ₁ , the interval T ₃ is 7T ₁ , the previous the prognosis of motor activity is shown by a dashed line. The values of the current, forecasted and previous forecasted intensity of human activity are given. The time interval T ₁ is equal to 24 hours.

Figure 9 is an example of an indication of the forecast of changes in the total for T ₁ motor activity of a person, the ordinate axis shows the values of the total for T _{1 of} motor activity of a person averaged over the interval T ₃ , the forecast interval T ₂ is 360T ₁ , the interval T ₃ is 30T ₁ , the previous the prognosis of motor activity is shown by a dashed line. The values of the current, forecasted and previous forecasted intensity of human activity are given. The time interval T ₁ is equal to 24 hours.

Figure 10 is an example of an indication of the forecast of changes in the total for T ₁ motor activity of a person, the ordinate axis shows the values of the total for T _{1 of} motor activity of a person averaged over the interval T ₃ , the forecast interval T ₂ is 4380T ₁ , the interval T ₃ is 365T ₁ , the previous the prognosis of motor activity is shown by a dashed line. The values of the current, forecasted and previous forecasted intensity of human activity are given. The time interval T ₁ is equal to 24 hours.

DETAILED DESCRIPTION OF THE INVENTION

The method of continuous monitoring of motor activity of a person is carried out using the following steps.

1. Continuously record and save the number of changes in the acceleration of the trunk or legs or arms of a person for a time interval T equal to 600 seconds. To carry out these actions, a sensor is used, the sensor is placed on the body, arm or leg of a person, the circuit diagram of the sensor is shown in Figure 2. The main element of the sensor is a coil with a diameter of 9 millimeters with a copper wire wound around it and with a permanent magnet of spherical shape inside. The movement of a permanent magnet causes a current in the coil, this current is fed to the input of the analog comparator of the ATtiny 2313 microcontroller, which records the change in current. The microcontroller summarizes the number of current changes in its input register during the time interval T, then the contents of the input register are copied to the memory cell, the input register resets and registers the number of current changes for the time interval T, and uses the following memory cell for recording. From the memory cells of the microcontroller, the data through the serial port of the microcontroller (TXD output) is transmitted to a personal computer by pressing the S2 button. At the beginning of the day, the sensor is reset by pressing the “reset” button S1.

2. Determine the intensity of human activity for the time interval T ₁ equal to 24 hours. An indicator of how often a person's motor activity changes from increasing to decreasing and from decreasing to increasing is used as an assessment of the tension of human activity. The relative number of time intervals T is determined, in each of which the number of changes in the acceleration of the trunk or legs or arms of a person is greater than the previous and subsequent interval T, or less than the previous and subsequent interval T. To assess the intensity of human activity E use the ratio

where E is an assessment of the tension of human activity;

T is the time interval of 600 seconds during which the number of changes in the acceleration of the trunk or legs or arms of a person is recorded;

T _a is the time interval, consists of an integer number of T intervals, starts simultaneously with the interval T ₁ and ends when the change in the acceleration of the trunk or legs or arms of a person is stopped or T ₁ , T _a ≤T _{1 is} reached (Figure 1 shows the interval T _a );

N _e is the number of time intervals T, in each of which the number of changes in the acceleration of the trunk or legs or arms of a person is greater than the previous and subsequent interval T, or less than the previous and subsequent interval T (in figure 1, the ordinate of point A is the number of changes in the acceleration of the trunk or legs of a person’s arms measured over a time interval T is greater than in the previous and subsequent interval T).

3. Determine the motor activity of a person for the time interval T ₁ , for which summarize the numbers from the cells of the RAM of the microcontroller. The summation result is stored in a separate file on a personal computer, as an array of values of a person’s physical activity for a time interval T ₁ , a [i], values of a person’s activity intensity for a time interval T _{1 are} stored in an array n [i], where i = 1, ..., M is the sequence number of the time interval T ₁ . The time interval T ₁ is equal to 24 hours.

4. Arrays are formed for the forecast and the previous forecast of motor activity a _n [j], and _nn [j]:

;Where

;

a _n [j], a _nn [j] - arrays of values of motor activity for the forecast and previous forecast of motor activity, obtained by averaging part of the values of the array a [i] over the interval T ₃ ;

a [i] is an array of values of a person’s physical activity for the time interval T ₁ (i = 1, ..., M);

M is the number of values of a person's motor activity for the interval T ₁ in the array a [i] (the size of the array a [i]);

time interval T ₂ - the duration of the forecast;

time interval T ₃ - time difference between the beginning of the current forecast and the previous forecast, time intervals T ₂ and T ₃ take, respectively, the values 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ . The time interval T ₁ is equal to 24 hours.

5. Form the predicted and previous predicted values of motor activity a _np [j], a _nnp [j] and human activity intensity E _nnp , Е _nnp :

a _n [j], a _nn [j] - arrays of values of motor activity for the forecast and previous forecast of motor activity;

a _np [j], a _nnp [j] - an array of predicted values of motor activity and an array of previous predicted values of motor activity;

a [i], n [i] - arrays of values of motor activity and intensity of human activity for the time interval T ₁ (i = 1, ..., M);

M is the size of the arrays a [i] and n [i];

E _np is the predicted value of the intensity of human activity;

E _nnp is the previous predicted value of the tension of human activity;

time interval T ₂ - the duration of the forecast;

time interval T ₃ - time difference between the beginning of the current forecast and the previous forecast, time intervals T ₂ and T ₃ take, respectively, the values 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ . The time interval T ₁ is equal to 24 hours.

6. The indicator displays the number of changes in the acceleration of the trunk or legs or arms and the intensity of human activity for the time interval T ₁ , as well as their predicted values for the time interval T ₂ from the current and previous time points that differ by the time interval T ₃ , the time interval T ₁ is 24 hours, the time intervals T ₂ and T ₃ take, respectively, the values 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ . The time interval T ₁ is equal to 24 hours.

An example of an indication is shown in figures 6-10.

The figure 6 shows an example of an indication of changes in motor activity of a person during the interval T ₁ equal to 24 hours. Here, the ordinate shows the number of changes in the acceleration of the human body over a time interval T equal to 600 seconds. The time interval along the abscissa axis is counted relative to the moment the sensor of motor activity is turned on. The values of the total for T ₁ motor activity of a person and the values of the intensity of human activity for the time interval T _{1 are given} .

The figure 7 shows an example of an indication of the forecast change in the total for T ₁ motor activity of a person. The ordinate axis shows the values of the total for T _{1 of} the person’s motor activity, the forecast interval T ₂ is 7T ₁ , the interval T ₃ is T ₁ . The previous prognosis of human motor activity is shown by the dashed line. The values of current, predicted tension and previous forecasted tension of human activity are given. The time interval T ₁ is equal to 24 hours.

The figure 8 shows an example of an indication of the forecast of changes in the total for T ₁ motor activity of a person, the ordinate axis shows the values of the total for T _{1 of} motor activity of a person averaged over the interval T ₃ , the forecast interval T ₂ is 49T ₁ , the interval T ₃ is 7T ₁ , previous prediction of locomotor activity is indicated by a dashed line. The values of the current, forecasted and previous forecasted intensity of human activity are given. The time interval T ₁ is equal to 24 hours.

The figure 9 shows an example of an indication of the forecast of changes in the total for T ₁ motor activity of a person, the ordinate axis shows the values of the total for T _{1 of} human activity, averaged over the interval T ₃ , the forecast interval T ₂ is 360T ₁ , the interval T ₃ is 30T ₁ , previous prediction of locomotor activity is indicated by a dashed line. The values of the current, forecasted and previous forecasted intensity of human activity are given. The time interval T ₁ is equal to 24 hours.

The figure 10 shows an example of an indication of the forecast of changes in the total for T ₁ motor activity of a person, the ordinate axis shows the values of the total for T _{1 of} motor activity of a person averaged over the interval T ₃ , the forecast interval T ₂ is 4380T ₁ , the interval T ₃ is 365T ₁ , previous prediction of locomotor activity is indicated by a dashed line. The values of the current, forecasted and previous forecasted intensity of human activity are given. The time interval T ₁ is equal to 24 hours.

Claims (1)

A method for continuously monitoring a person’s motor activity, characterized in that the number of changes in the acceleration of the trunk or legs or arms of a person over a time interval T is continuously recorded and stored, the intensity of a person’s activity over a time interval T ₁ is determined as the relative number of time intervals T, in each of which the number changes in the acceleration of the trunk or legs or arms of a person more than in the previous and subsequent interval T, or less than in the previous and subsequent interval T, display on the indicator the number changes in the acceleration of the trunk or legs or arms and the intensity of human activity for the time interval T ₁ , as well as their predicted values for the time interval T ₂ from the current and previous time points that differ by the time interval T ₃ , the time interval T is 600 s, the time interval T ₁ is 24 hours, the time intervals T ₂ and T ₃ are respectively 7T ₁ and T ₁ , 49T ₁ and 7T ₁ , 360T ₁ and 30T ₁ , 4380T ₁ and 365T ₁ .

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