Methods for evaluating and correcting the functional state of a person, and a system for implementing these methods.

Abstract

This provides a method for evaluating and correcting a person's functional state. [Solution] A first electrocardiogram (ECG) is recorded, and after the person completes the first treatment trial, a second ECG is recorded, and after the second and subsequent treatment trials, a third and subsequent ECG is recorded. After selecting pairs of ECGs, corresponding sets of heart rate variability parameters, Vi and Vj, are calculated, and a group of parameters Gij is formed from Vi, Vj, and their difference, Δij. Gij is processed using a mathematical model, and a value Eij of the person's functional state is obtained for each group of Gij. The value Eij is compared with tabular evaluation values ​​selected from a table for the corresponding treatment trial, and the correspondence of the obtained value Eij of the person's functional state to the evaluation values ​​provided in the table is determined. Recommendations are formed for all selected pairs of recorded ECGs, and the person's implementation of the recommendations is monitored. The functional state is modified by the adjusted implementation of the formed recommendations.

Description

Technical Field

[0001] The present invention relates to medicine, and more particularly, to a method for evaluating and modifying a person's functional state, as well as a system for implementing the method. The method enables monitoring, evaluation, and modification of a person's functional state, including before, during, and after physical activity, functional activity, respiratory activity, drug administration, physical therapy, psycho-emotional activity, or combinations thereof, by selecting recovery means, support means, and development means.

[0002] The method can be used for modifying the functional state of a person outside a healthcare facility in various settings, including clinical hospitals, emergency shelters, as well as in sports organizations, fitness clubs, gyms, resorts, schools, and kindergartens with personal support.

Background Art

[0003] A person's functional state is a characteristic of the level of function of the body's systems over a given time period that reflects the body's adaptation to external actions. A person's physical and mental well-being, as well as a person's work, education, and creative success, depend on the functional state of the body.

[0004] The functional state is a complex of properties that determines the level of the body's systemic response to the applied load in the vital activities of the living body and reflects the degree of integration and adequacy of the function into the work being performed.

[0005] The following factors affect a person's functional state, namely, the nature of the nervous system, temperament type, overall emotional orientation, ability to neutralize negative emotional traces, degree of development of volitional traits, mastery of techniques for managing one's own mental state, and intellectual development.

[0006] Assessing a person's functional state, improving the accuracy of recognizing that state, and preventing unacceptable declines in the efficiency and reliability of the activities of professionals in hazardous occupations are of practical interest to civil and military medicine, the field of professional choice, and systems for monitoring operator activities.

[0007] A known prior art example is the "METHOD FOR PREVENTIVE-REHABILITATION CORRECTION OF FUNCTIONAL STATE AND ENHANCEMENT OF BODY ADAPTABILITY" (see, for example, RU 2557695C2, published July 27, 2015). This invention, referencing recovery medicine, may be used for drug-free modification, prevention, and rehabilitation of functional state and improvement of adaptability in patients of various age groups suffering from various neuropsychiatric symptoms. There are three consecutive stages to be performed: setting (SS), adaptation (AS), and tactile contact (TCS). The SS involves introducing the patient to the tissue and behavioral characteristics of dolphins, instructing them to perform commands required for communication with dolphins, and tactile contact with dolphins. The adaptation stage (AS) involves meeting live dolphins and direct contact with live dolphins on a swimming pool platform outside the water. TCS involves exercises designed to develop the patient's communication skills, fine motor skills, motor coordination, motor activity control, emotional state, and attention, using art therapy elements, musical exercises with dolphins, and action games with dolphins using various objects. TCS is performed in a swimming pool filled with mineral water containing 1.8–2.0 ppm NaCl at a temperature of 25–28°C, and the entire corrective course consists of 10–14 sessions, each lasting 30–40 minutes. SS consists of at least 3 sessions of 30 minutes each, AS consists of 1–3 sessions of 30–35 minutes each, and TCS consists of 7–9 sessions of 35–40 minutes each. This method provides a holistic improvement in the patient's greater stress stability and adaptability, communication skills, and adaptation to active, targeted activities, regardless of their level of functional readiness, and offers an optimized length of rehabilitation course tailored to the patient's mental and emotional state and abilities.

[0008] However, this method does not provide dynamic monitoring, i.e., an assessment of a person's functional state before, during, and after a therapeutic trial involving physical activity, without interfering with physical activity. This method also does not allow for the possibility of modifying the functional state by providing precise recommendations based on the test results.

[0009] Prior art has provided methods for systematizing and evaluating the functional state of the body for timely modification of physical activities involved in recreational physical training and sports, as well as computer-based systems for implementing these methods (see, for example, RU 2808374 C1, published November 28, 2023). These methods, referencing sports physiology, can be used in the implementation of medical controls to enable self-monitoring of the functional state of athletes and those involved in physical education, sports education, and training processes, in order to assess the functional state of individuals involved in physical training and sports.

[0010] A method for systematizing and evaluating the functional state of the body for timely modification of physical activities involved in recreational physical training and sports includes the following steps: suggesting to the user to select a level of functional state from presented options based on subjective indicators. The user performs seven tests to collect data: counting heart rate while lying down, counting heart rate while standing, measuring systolic and diastolic blood pressure, measuring body weight, performing a breath-hold test while inhaling (Stange probe), performing a breath-hold test while exhaling (Genche probe), and performing a Letunov probe. In addition, the program calculates the orthostatic test as the difference between the heart rate while standing and while lying down.

[0011] The Stange test, Genche test, and Letunov test are performed once every 14 days, in the morning. Next, for objective indicators, the user inputs functional state data based on the tests performed, and as a result, the program automatically recalculates subjective indicators into points. From the objective indicators, the program automatically calculates points for the orthostatic test, which are calculated as the difference between the heart rate while standing and the heart rate while lying down and converted into point values. Next, the user performs the Letunov test, and then the program displays all acquired results on the system's monitor screen, which is operated by a computer, constructs graphs, recalculates the results in the form of values ​​with changes after the load, and based on the results, the type of response to the load is determined. Next, the functional state is further evaluated based on the acquired indicators. The invention provides the ability to self-monitor changes in the user's functional parameter state in real time and, if necessary, enables the recording, accumulation, storage, and evaluation of objective and subjective indicators of the user's functional state in order to analyze the degree of the user's readiness for the possibility of modifying physical activity.

[0012] This method has the drawback of requiring a long time period for sample collection, but a person's functional state can change significantly over such a long period, and as a result, an objective assessment of their functional state at the present moment cannot be guaranteed.

[0013] However, this method does not provide dynamic monitoring, i.e., an assessment of a person's functional state before, during, and after a therapeutic trial involving physical activity and stress, without interfering with physical activity. This method also does not allow for the possibility of modifying the functional state by providing precise recommendations based on the test results.

[0014] The closest analogues to the requested technical solution are methods for pre-medical assessment of a person's functional state and automated systems for assessing the functional state of a user (version) (see RU 2445916 C2, published March 27, 2012).

[0015] This method includes reading biosignals from at least one sensor, recording them, performing an automated analysis including calculation of an index of rhythmic variability and regulatory system activity, extracting parameters that specify the risk of cardiac injury, cardiac arrest emergencies, and also diagnosed rhythmic abnormalities, and displaying functional status data. In addition, personal information about the patient's current condition at the time of biosignal reading is recorded, and possible reasons for functional status fluctuations, such as previously recorded history, current health status, and parameters exceeding the threshold for a normal ECG or parameters from a previous ECG, are listed, and the functional status assessment is presented in a form for the individual being examined.

[0016] A system for implementing this method comprises a biosignal sensor, a recorder, and an analysis unit for the recorded biosignals. Furthermore, the system comprises a user terminal for inputting health data, an automatic listing of possible reasons for functional state fluctuations connected to the analysis unit for the recorded biosignals, and a unit for functional state assessment to be presented to the individual. A second embodiment of the system is characterized by the system comprising a user terminal for inputting health data from the biosignal recorder or current health values.

[0017] This method does not provide dynamic monitoring, i.e., an assessment of a person's functional state before, during, and after a therapeutic trial involving physical activity and stress, without interfering with physical activity. While this method assesses functional state by recording an electrocardiogram, it does not take into account the dynamics of changes in these parameters, thereby reducing the reliability of the assessment. Because this method requires additional recording of the individual's medical history and current well-being, it does not allow for a reduction in the time required to perform a functional assessment for an individual or group of individuals. The functional assessment results in this method are determined by parameters exceeding the electrocardiogram threshold corresponding to normal function or parameters from a previous electrocardiogram. This makes it impossible to present the functional assessment results in tabular form using language accessible to individuals without specialized medical training. This means that recommendations cannot be formed for patients based on textual descriptions of the patient's functional state found in a table, nor can monitoring of their implementation be guaranteed. This method does not allow for the possibility of modifying functional state by providing accurate, individualized recommendations based on the assessment results. [Prior art documents] [Patent Documents]

[0018] [Patent Document 1] RU 2557695C2 [Patent Document 2] RU 2808374 C1 [Patent Document 3] RU 2445916 C2 [Patent Document 4] RU 2757254 [Overview of the project] [Problems that the invention aims to solve]

[0019] The claimed object of the present invention is to provide a method for evaluating and modifying a person’s functional state, wherein the evaluation of the person’s functional state is based on changes in heart rate variability (HRV) parameters or on discretized electrocardiogram (ECG) changes after the person has undergone at least one therapeutic trial, thereby ensuring increased reliability of the results of the evaluation of the person’s functional state and a reduction in the duration of the evaluation, and also based on the obtained evaluation of the functional state, the formation of recommendations for training load, therapeutic load, and drug administration, and monitoring the implementation of the formed recommendations, and timely modifications thereof, thereby ensuring modification of the management of the person’s functional state based on accurate recommendations based on the test results.

[0020] A second object of the present invention is to provide a system for evaluating and correcting a person's functional state, which ensures the implementation of a specified method. [Means for solving the problem]

[0021] According to a first embodiment of the present invention, the stated objective is achieved by creating a method for controlling the evaluation and modification of a person's functional state, the method is A step of recording at least two electrocardiograms (ECGs) of the first lead, wherein the first ECG1 is recorded first, and after the person completes the treatment trial, the second ECG2 is recorded. The steps include calculating the corresponding sets of heart rate variability (HRV) parameters V1 and V2 for the recorded ECG1 and ECG2, The steps include: calculating the difference Δ between the acquired sets of heart rate variability parameters V1 and V2; The steps include forming a group of parameters G consisting of a set of HRV parameters V1, a set of HRV parameters V2, and the calculated difference Δ between the sets of parameters, In a unit for evaluating a person's functional state using a mathematical model, a step of processing a formed group G of parameters consisting of V1, V2, and Δ, wherein the mathematical model is selected from a group consisting of a decision tree, a neural network, and one of three regressions: linear, logistic, and probit, to obtain a value E for evaluating the person's functional state, Comparing the obtained value of the person's functional state evaluation with a tabular evaluation value selected from a table for a corresponding treatment trial, the table for the corresponding treatment trial comprising a set of functional state evaluation values from 1 to M, and an explanation for each evaluation value of the corresponding functional state, and standard recommendations, and identifying the conformity of the obtained functional state evaluation value to one of the evaluation values provided in the table for the corresponding treatment trial, Forming a recommendation for the person based on the functional state explanation and standard recommendations provided in the table for the identified functional state evaluation value, Monitoring the implementation of the formed recommendation and adjusting the implementation process based on the monitoring data, Implementing a correction of the functional state by the person by following the formed recommendation including.

[0022] Preferably, the step of monitoring the implementation of the formed recommendation is performed by taking at least one measurement value selected from the group consisting of heart rate, palpation, percussion, auscultation, blood pressure, body temperature, blood saturation, blood lactate accumulation level, spirometry, and Minor test during the implementation of the recommendation, or by recording electrocardiogram data or biometric data during the implementation of the recommendation.

[0023] Preferably, the treatment trial comprises at least one exercise selected from the group consisting of physical exercise, functional load test, respiratory exercise, physiotherapy exercise, mental and emotional exercise, and / or at least one action selected from the group consisting of drug administration, physiotherapy action, mental and emotional action, respiratory action, or a combination thereof.

[0024] Preferably, the description in the table for the functional status evaluation value for each corresponding functional status is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

[0025] Preferably, the method further includes the step of identifying the fit of an acquired person's functional state rating to one of six rating values, from 1 to M=6, provided in a table.

[0026] Preferably, when using therapeutic tests from a group consisting of physical exercise, functional stress testing, physiotherapy exercises, and psychoemotional exercises, or a combination thereof, the method is A step that provides identification of the fit of an acquired functional state assessment value to one of six assessment values ​​from 1 to M=6, which are provided in a table and comprise six states selected from a group consisting of hazardous overwork, overwork, fatigue, incomplete recovery, complete recovery, and supercompensation. Includes.

[0027] Preferably, when using breathing exercises, The table provides an identification of the fit of the acquired person's functional status rating to one of six rating values ​​from 1 to M=6, which are selected from a group consisting of pathological condition, gas exchange system overwork, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and super recovery.

[0028] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of the rating values ​​from 1 to M=5, which are given in a table and include five states.

[0029] Preferably, when using therapeutic trials from a group consisting of drug administration, physiotherapy effects, psycho-emotional effects, respiratory effects, or a combination thereof, The system identifies the fit of the acquired person's functional state rating to one of five rating values ​​from 1 to M=5, which are provided in the table and consist of five states selected from a group consisting of desirable improvement, undesirable improvement, desirable deterioration, undesirable deterioration, and an unchanged state.

[0030] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of the rating values ​​from 1 to M=4, which are provided in a table and include four states.

[0031] Preferably, the method includes the step of identifying the fit of an acquired functional state assessment value of a person to one of an assessment value from 1 to M=4, which comprises four states selected from the group consisting of overwork, fatigue, recovery, and supercompensation, provided in a table.

[0032] Preferably, the process further involves obtaining a functional status evaluation value for the person within the range of 0 to M=10, where a value of 0 corresponds to the person's worst functional state and a value of 10 corresponds to the person's best functional state.

[0033] According to a second embodiment of the present invention, the stated objective is achieved by creating a method for evaluating and correcting a person's functional state, the method being A step of recording at least three electrocardiograms (ECGs) of at least the first lead, wherein a first ECG1 is recorded first, and after the person completes the treatment trial, a second ECG2 is recorded, and after the person completes the second and subsequent treatment trials respectively, a third ECG3 and subsequent ECGs are recorded. A step of selecting at least one pair of recorded electrocardiograms ECGi and ECGj, wherein the indices i and j are selected from the range of 1 to N, where N is the number of recorded ECGs and i ≠ j. A step of calculating the corresponding set of heart rate variability (HRV) parameters Vi and Vj for each ECG from at least one selected pair of ECGi and ECGj, The steps include: calculating the difference Δij between each calculated pair of HRV parameters Vi and Vj, A step of forming a group of parameters Gij for each calculated pair of HRV parameters Vi and Vj, consisting of a set of HRV parameters Vi, a set of HRV parameters Vj, and their calculated difference Δij. A step of using a mathematical model to process each of the formed groups Gij of parameters in a unit for evaluating a person's functional state, wherein the mathematical model is selected from a group consisting of a decision tree, a neural network, and one of three regressions: linear, logistic, and probit, in order to obtain a value Eij of the person's functional state evaluation for each formed group Gij of parameters. The steps include comparing the functional status rating Eij of each acquired person for each selected pair of recorded ECGi and ECGj with a tabular rating selected from a table for the corresponding treatment trial, and identifying the fit of the acquired functional status rating Eij to one of the ratings provided in the table for the corresponding treatment trial, where the table for the corresponding treatment trial includes a set of functional status ratings from 1 to M, a description for each functional status rating, and standard recommendations. Steps to form a recommendation for a person based on the functional status description and standard recommendations provided in the table for identified functional status assessment values ​​for all pairs of recorded ECGs, The steps include monitoring the implementation of the formed recommendations and adjusting the implementation process based on the monitoring data, Steps to implement functional state correction by following recommendations formed by individuals and Includes.

[0034] Preferably, the step of monitoring the implementation of the formed recommendation is performed by taking at least one measurement selected from the group consisting of heart rate, palpation, percussion, auscultation, blood pressure, body temperature, blood saturation, blood lactate accumulation level, vital capacity measurement, and minor tests during the implementation of the recommendation, or by recording heart rate recording data or biometric data during the implementation of the recommendation.

[0035] Preferably, the therapeutic test comprises at least one exercise selected from the group consisting of physical exercise, functional load testing, respiratory exercise, physiotherapy exercise, and psychoemotional exercise, and / or at least one action selected from the group consisting of drug administration, physiotherapy effects, psychoemotional effects, respiratory effects, or a combination thereof.

[0036] Preferably, the description in the table for the functional status evaluation value for each corresponding functional status is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

[0037] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of the rating values ​​from 1 to M=6, which are provided in a table and include six states.

[0038] Preferably, when using therapeutic tests from a group consisting of physical exercise, functional stress testing, physiotherapy exercises, and psychoemotional exercises, or a combination thereof, The identification of the fit of the acquired person's functional state rating to one of six rating values ​​from 1 to M=6, which are provided in the table and consist of six states selected from a group consisting of hazardous overwork, overwork, fatigue, incomplete recovery, complete recovery, and supercompensation.

[0039] Preferably, when using breathing exercises, The table provides an identification of the fit of the acquired person's functional status rating to one of six rating values ​​from 1 to M=6, which are selected from a group consisting of pathological condition, gas exchange system overwork, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and super recovery.

[0040] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of five rating values, ranging from 1 to M=5, provided in a table.

[0041] Preferably, when using therapeutic trials from a group consisting of drug administration, physiotherapy effects, psycho-emotional effects, respiratory effects, or a combination thereof, The system identifies the fit of the acquired person's functional state rating to one of five rating values ​​from 1 to M=5, which are provided in the table and consist of five states selected from a group consisting of desirable improvement, undesirable improvement, desirable deterioration, undesirable deterioration, and an unchanged state.

[0042] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of the rating values ​​from 1 to M=4, which are provided in a table and comprise four states.

[0043] Preferably, the method includes identifying the fit of an acquired person's functional state rating to one of four rating values ​​from 1 to M=4, which are provided in a table and comprise four states selected from the group consisting of overwork, fatigue, recovery, and supercompensation.

[0044] Preferably, the step of obtaining a functional status evaluation value of a person within the range of 0 to M=10 is further performed, where a value of 0 corresponds to the person's worst functional state and a value of 10 corresponds to the person's best functional state.

[0045] Preferably, the method is The steps of forming and implementing a recommendation include: recording at least two electrocardiograms (ECGs) of at least the first lead, calculating the corresponding heart rate variability (HRV) parameters, calculating the difference Δ between the HRV parameters, forming and processing a group G of parameters, obtaining a functional status assessment value E of the person before the recommendation is implemented, and then performing the steps of the method according to claim 14; A step of recording at least one additional ECG, wherein a treatment trial is performed by a person between each consecutive pair of additional ECGs, The steps include processing additional ECGs and obtaining functional status assessment values ​​for individuals after implementing recommendations, A step of obtaining a quality evaluation value for the implementation of a recommendation by comparing the values ​​obtained before the recommendation is made and the values ​​after the recommendation is made with values ​​provided in a table of quality evaluation values, wherein the table of quality evaluation values ​​comprises evaluation values ​​before the recommendation is made, evaluation values ​​after the recommendation is made, and corresponding quality evaluation values ​​for the implementation of the recommendation. The process further includes the step of obtaining a quality assessment value for the implementation of the formed recommendations by performing the following steps.

[0046] Preferably, a further step of identifying conformity is performed between the acquired quality evaluation values ​​of the recommended implementation and the table description of the quality evaluation values ​​of the recommended implementation, wherein the table description of the quality evaluation values ​​of the recommended implementation comprises a set of quality evaluation values ​​of the recommended implementation from 1 to Q and a corresponding description for each evaluation value.

[0047] Preferably, the explanations in the table description of the quality evaluation values ​​for recommended implementation are selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

[0048] According to a third embodiment of the present invention, the stated objective is achieved by a method for evaluating and correcting a person's functional state, the method being A step of recording at least two electrocardiograms (ECGs) of at least the first lead, wherein the first ECG1 is recorded first, and after the person completes the treatment trial, the second ECG2 is recorded, and after the person completes the subsequent treatment trial, each subsequent ECG is recorded. A step of selecting at least one pair of recorded electrocardiograms ECGi and ECGj, wherein the indices i and j are selected from the range of 1 to N, where N is the number of recorded ECGs and i ≠ j. The steps include: performing a Fourier transform on each ECG from at least one selected pair of ECGi and ECGj to obtain a Fourier amplitude spectrum for each recorded ECG, discretizing each obtained Fourier amplitude spectrum to obtain a discrete form (DFECG) of the Fourier amplitude spectrum for each ECG from at least one selected pair of ECGi and ECGj; A step of calculating the difference ΔDFECGij between the discrete Fourier amplitude spectra of DFECGi and DFECGj for each selected pair of ECGi and ECGj, A step of forming a group of parameters Gij for each selected pair of the sets of HRV parameters Vi and Vj, consisting of a set of HRV parameters Vi, a set of HRV parameters Vj, and their calculated difference ΔDFECGij. A step of processing a group of parameters Gij in a unit for evaluating a person's functional state using a mathematical model, wherein the mathematical model is selected from a group consisting of a decision tree, a neural network, and one of three regressions: linear, logistic, and probit, in order to obtain a person's functional state evaluation value Eij for each formed group Gij. The steps include comparing the functional status rating Eij of each acquired person for each selected pair of recorded ECGi and ECGj with a tabular rating selected from a table for the corresponding treatment trial, and identifying the fit of the acquired functional status rating Eij to one of the ratings provided in the table for the corresponding treatment trial, where the table for the corresponding treatment trial includes a set of functional status ratings from 1 to M, a description for each functional status rating, and standard recommendations. Steps to form a recommendation for a person based on the functional status description and standard recommendations provided in the table for identified functional status assessment values ​​for all selected pairs of recorded ECGs, The steps include monitoring the implementation of the formed recommendations and adjusting the implementation process based on the monitoring data, Steps to implement functional state correction by following recommendations formed by individuals and Includes.

[0049] Preferably, the step of monitoring the implementation of the formed recommendation is performed by taking at least one measurement selected from the group consisting of heart rate, palpation, percussion, auscultation, blood pressure, body temperature, blood saturation, blood lactate accumulation level, vital capacity measurement, and minor tests during the implementation of the recommendation, or by recording heart rate recording data or biometric data during the implementation of the recommendation.

[0050] Preferably, the therapeutic test comprises at least one exercise selected from the group consisting of physical exercise, functional load testing, respiratory exercise, physiotherapy exercise, and psychoemotional exercise, and / or at least one action selected from the group consisting of drug administration, physiotherapy effects, psychoemotional effects, respiratory effects, or a combination thereof.

[0051] Preferably, the description in the table for the functional status evaluation value for each corresponding functional status is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

[0052] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of the rating values ​​from 1 to M=6, which are provided in a table and include six states.

[0053] Preferably, when using therapeutic tests from a group consisting of physical exercise, functional stress testing, physiotherapy exercises, and psychoemotional exercises, or a combination thereof, The identification of the fit of the acquired person's functional state rating to one of six rating values ​​from 1 to M=6, which are provided in the table and consist of six states selected from a group consisting of hazardous overwork, overwork, fatigue, incomplete recovery, complete recovery, and supercompensation.

[0054] Preferably, when using breathing exercises, The table provides an identification of the fit of the acquired person's functional status rating to one of six rating values ​​from 1 to M=6, which are selected from a group consisting of pathological condition, gas exchange system overwork, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and super recovery.

[0055] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of five rating values, ranging from 1 to M=5, provided in a table.

[0056] Preferably, when using therapeutic trials from a group consisting of drug administration, physiotherapy effects, psycho-emotional effects, respiratory effects, or a combination thereof, The system identifies the fit of the acquired person's functional state rating to one of five rating values ​​from 1 to M=5, which are provided in the table and consist of five states selected from a group consisting of desirable improvement, undesirable improvement, desirable deterioration, undesirable deterioration, and an unchanged state.

[0057] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of the rating values ​​from 1 to M=4, which are provided in a table and comprise four states.

[0058] Preferably, the method includes the step of identifying the fit of the acquired person's functional state rating to one of four rating values ​​from 1 to M=4, which are provided in a table and comprise four states selected from the group consisting of overwork, fatigue, recovery, and supercompensation.

[0059] Preferably, the method includes the step of obtaining a functional status rating value for a person in the range of 0 to M=10, where a value of 0 corresponds to the person's worst functional state and a value of 10 corresponds to the person's best functional state.

[0060] Preferably, the method is The steps include: recording at least two electrocardiograms (ECGs) of at least the first lead; performing a Fourier transform on each ECG; discretizing each acquired Fourier amplitude spectrum to obtain a discrete form of the Fourier amplitude spectrum (DFECG) for each ECG; calculating the difference Δ between the acquired DFECGs; forming and processing a group G of parameters; and obtaining a functional status assessment value E of the person before the recommendation is implemented. The steps of the method according to claim 14 include forming and implementing recommendations, A step of recording at least one additional ECG, wherein a treatment trial is performed by a person between each consecutive pair of additional ECGs, The steps include processing additional ECGs and obtaining functional status assessment values ​​for individuals after implementing recommendations, A step of obtaining a quality evaluation value for the implementation of a recommendation by comparing the functional status evaluation value of a person obtained before the recommendation is made and the value after the recommendation is implemented with the value provided in a table of quality evaluation values, wherein the table of quality evaluation values ​​comprises the evaluation value before the recommendation is implemented, the evaluation value after the recommendation is implemented, and the corresponding quality evaluation value for the implementation of the recommendation. The process further includes the step of obtaining a quality assessment value for the implementation of the formed recommendations by performing the following steps.

[0061] Preferably, the method includes the step of identifying the conformity of the acquired quality values ​​of the recommended implementation with a table description of the quality values ​​of the recommended implementation, wherein the table description of the quality values ​​of the recommended implementation comprises a set of quality values ​​from 1 to Q and a corresponding description for each value.

[0062] Preferably, the explanations in the table description of the quality evaluation values ​​for recommended implementation are selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

[0063] According to a fourth embodiment of the present invention, the stated objective is achieved by creating a system for evaluating and correcting a person's functional state, the system is A test scenario control unit connected in series with an electrocardiograph configured to record a series of electrocardiograms (ECGs) of at least the first lead before and after a person performs at least one therapeutic trial, and connected to an ECG storage unit connected to the electrocardiograph, A unit connected to the ECG storage unit for calculating a set of characteristic parameters for each recorded ECG, A unit for calculating the difference Δ between a pair of sets of characteristic parameters and for forming a group G of parameters, wherein the group G consists of two sets of characteristic parameters and the calculated difference Δ, A unit for evaluating a person's functional state is configured to process a set of parameters and obtain a functional state rating for a person by using a mathematical model selected from a group consisting of decision trees, neural networks, and one of three regressions: linear, logistic, and probit. A unit for selecting a functional status description and standard recommendation from a built-in table for a corresponding treatment trial, according to the acquired evaluation values, wherein the table comprises a set of functional status evaluation values ​​from 1 to M, and a corresponding functional status description and standard recommendation for each evaluation value. A unit for forming and storing, connected to a selection unit, wherein the forming and storing unit is configured for forming and storing recommendations. A unit for accumulating monitoring data, configured to store data resulting from monitoring the process of implementing the formed recommendations, and to further detect deviations from the implementation of the recommendations, A unit for forming guidance for modifying the process of implementing formed recommendations for correcting a person's functional state. It is equipped with.

[0064] Preferably, the system further comprises a unit for inputting monitoring data, which is connected to a unit for accumulating monitoring data.

[0065] Preferably, the system further comprises a unit for updating formed recommendations, which is connected to a unit for forming and storing recommendations.

[0066] Preferably, a unit for calculating a set of characteristic parameters for each recorded ECG is configured to calculate a set of heart rate variability parameters.

[0067] Preferably, the heart rate recorder is configured to determine the moment of cardiac contraction.

[0068] Preferably, a unit for calculating a set of characteristic parameters is configured to determine the moment of cardiac contraction.

[0069] Preferably, a unit for calculating a set of characteristic parameters is configured to calculate a discretized ECG (DFECG).

[0070] The claimed technical results of the present invention are as follows: The claimed method provides increased reliability of the results of human functional status assessments and expands the range of automated systems for human functional status assessments. It is possible to reduce the time required to perform a highly reliable assessment of a person's functional status, thereby enabling the assessment of a person's functional status in a shorter period of time compared to clinical assessments of functional capacity. The method makes it possible to present the results of the assessment of a person's functional status in a tabular format that is easily accessible to individuals without specialized medical training. In addition, it becomes possible to provide early detection of actual health impairments in a person. Most importantly, the method provides the ability to correct a person's functional status based on accurate recommendations based on the test results.

[0071] The present invention will be described below by referring to the attached drawings and describing its preferred embodiments. [Brief explanation of the drawing]

[0072] [Figure 1] This figure shows an algorithm for evaluating a person's functional state according to a first embodiment of the present invention. [Figure 2] This figure shows an algorithm for evaluating a person's functional state according to a second embodiment of the present invention. [Figure 3] This figure shows an algorithm for evaluating a person's functional state value and a value for evaluating the quality of the implementation of the formed recommendations, according to a second embodiment of the present invention (which records three ECGs). [Figure 4] This figure shows an algorithm for evaluating a person's functional state value and a value for evaluating the quality of the implementation of the formed recommendations, according to a second embodiment of the present invention (which records four ECGs). [Figure 5] This figure shows an algorithm for evaluating a person's functional state according to a third embodiment of the present invention. [Figure 6]This figure shows an algorithm for evaluating a person's functional state value and a value for evaluating the quality of the implementation of the formed recommendations, according to a second embodiment of the present invention (which records three ECGs). [Figure 7] This is a block diagram of a system for evaluating and correcting human functional status values. [Modes for carrying out the invention]

[0073] To date, no one has evaluated a person's functional status based on changes in heart rate variability (HRV) parameters or discrete changes in an electrocardiogram (ECG) after they have undergone at least one treatment trial.

[0074] Unexpectedly, it has become clear that when a person's functional status is assessed based on changes in HRV parameters after they have undergone at least one treatment trial, the reliability of the assessment results is significantly increased and the time required for assessment is reduced. This is because heart rhythm provides information about the functional status of all systems that regulate human life activities, both normally and in various pathological conditions.

[0075] The method for evaluating and correcting a person's functional state according to the first embodiment is carried out as follows.

[0076] It is suggested that the following examples for evaluating and correcting a person's functional state be used to consider the implementation of the method.

[0077] At least two electrocardiograms (ECGs) are recorded on the first lead (Figure 1), where the first ECG1 is recorded first in S1, the person completes the treatment trial in S2, and then the second ECG2 is recorded in S3.

[0078] In the embodiments described, the term “therapeutic trial” means either an exercise performed by a person or an action administered to a person. As shown above, a therapeutic trial comprises at least one exercise selected from the group consisting of physical exercise, functional load testing, respiratory exercise, physiotherapy exercise, and psychoemotional exercise, and / or at least one action selected from the group consisting of drug administration, physiotherapy action, psychoemotional action, respiratory action, or a combination thereof.

[0079] A therapeutic trial may comprise at least one motor and / or at least one action.

[0080] The exercises are performed according to a strict schedule, such as 30 arm swings in 45 seconds or 20 squats in 45 seconds. While the time is limited to 45 seconds, the number of repetitions and types of exercises can vary.

[0081] The action is carried out without a strict schedule and may involve, for example, intravenous drug administration or oral ingestion.

[0082] Physical activity comprises, namely, squats at a specified frequency, as determined by the examination schedule, the number of squats being determined by the level of the person's functional and physical capacity; arm swings at a specified frequency, the number of swings being determined by the level of the person's functional and physical capacity; push-ups at a specified frequency, the number of push-ups being determined by the level of the person's functional and physical capacity; training exercises or controlled load tests on an ergometer; and active and passive rest.

[0083] If there are no functional or physical limitations, the prescribed physical exercise is 30 squats in 45 seconds.

[0084] If functional or physical limitations exist, 10 or 20 squats in 45 seconds may be used, or replaced with 10, 20, or 30 high-amplitude arm swings in 45 seconds. If squats are impossible or the lower limbs are dysfunctional, squats may be replaced, depending on the limitations, with 10, 20, or 30 push-ups from the floor or from wheelchair handlebars in 45 seconds. If the person has excellent athletic ability and is in good physical condition, squats may be replaced with 30 push-ups in 45 seconds.

[0085] When analyzing the training process, the training session and the exercise itself are considered as physical activity, as well as active and passive rest, as determined by the examination protocol.

[0086] When analyzing human movement patterns, regulated load tests on ergometers are used as a form of physical exercise, such as bicycle ergometers, treadmills, hand ergometers, rowing ergometers, and ski ergometers.

[0087] The most common functional stress tests include vital capacity measurement, orthostatic probe, body plethysmography, carbon dioxide diffusion capacity testing using the one-breath-hold method, stress tests to detect bronchial hypersensitivity, drinking 200-250 ml of purified water, glucose tolerance tests, Stange probe, Genche probe, Letnoff probe, and other less common tests.

[0088] Physiological effects include urination, defecation, vomiting, expectoration, blowing the nose, and sexual intercourse.

[0089] Respiratory movements include forced inhalation and slow exhalation at regulated frequencies, the number of which is determined by the functional and physical capacity of the respiratory and support systems.

[0090] If there are no functional and physical limitations in the respiratory and support systems, 30 forced inhalations and slow exhalations over 45 seconds are used as a controlled respiratory exercise.

[0091] When the functional and physical capacity of the respiratory and support systems is limited, 10 to 20 forced inhalations and slow exhalations over 45 seconds may be used, or may be replaced by one or more breath-holds of up to 45 seconds.

[0092] Physical therapy exercises include cryotherapy, thermotherapy, hydrotherapy, and specialized exercises in barotherapy.

[0093] Psycho-emotional effects include the psychological pressure and stress experienced during work, sports, or social activities.

[0094] The following physiotherapy effects can be performed, namely, electrotherapy, shock wave therapy, magnetic therapy, laser therapy, ultrasound therapy, infrared irradiation, cryotherapy, thermotherapy, hydrotherapy, barotherapy, phonophoresis, electropuncture, amplification pulse therapy, myostimulation, and electromagnetic therapy, including combination therapy using an FPU generator (disclosed in Patent RU 2757254).

[0095] Mental and emotional exercises include persuasion, spreading ideas, gossip, or habits, making suggestions, imitation, fashion, attending entertainment events, listening to music, and watching videos.

[0096] Respiratory actions include cardiopulmonary testing, oxygen saturation or toxicity testing, carbon dioxide saturation testing, and the use of devices to increase or decrease air pressure during inhalation and / or exhalation.

[0097] Next, in S4 and S5, sets of V1 and V2 heart rate variability (HRV) parameters are calculated for each of the two recorded ECG1 and ECG2, including geometric, statistical, and spectral parameters of HRV.

[0098] Geometric parameters represent the distribution of RR intervals as random values, while the RR interval distribution curve is a histogram. Statistical parameters represent a direct quantitative assessment of HRV during the studied period, with the cardiointervalogram being considered a sequence of RR intervals. Spectral parameters represent a quantitative assessment of the various frequency components of heart rate oscillation and a graphical representation of the ratios of different heart rate components, reflecting the activity of several links in the regulatory mechanism.

[0099] In S6, the difference Δ between the corresponding parameters of the acquired sets V1 and V2 of heart rate variability parameters is calculated, and in S7, a group G of parameters is formed. Group G consists of the set of HRV parameters V1, the set of HRV parameters V2, and the calculated difference Δ between the sets of parameters.

[0100] The difference Δ between sets of HRV parameters is a set of indicators, each of which is a value calculated using a formula selected from the following group: The difference between the parameter p(i) of set V1 and the parameter p(i) of set V2. The ratio of the parameter p(i) of set V1 to the parameter p(i) of set V2. The ratio of the difference between the parameter p(i) of set V1 and the parameter p(i) of set V2, expressed as a percentage, to the original value of parameter p(i). The ratio of the difference between parameter p(i) in set V1 and the accepted medical standard for this parameter, and the ratio of the difference between parameter p(i) in set V2 and the accepted medical standard for this parameter. The ratio of the absolute difference between the parameter p(i) of set V1 and the accepted medical standard for this parameter, to the ratio of the absolute difference between the parameter p(i) of set V2 and the accepted medical standard for this parameter. The ratio of the difference between parameter p(i) and parameter p(j) in set V1 to the difference between parameter p(i) and parameter p(j) in set V2. This is the ratio of the absolute difference between parameters p(i) and p(j) in set V1 to the absolute difference between parameters p(i) and p(j) in set V2.

[0101] In S8, a group G formed by parameters V1, V2, and Δ is processed in a unit for evaluating a person's functional state value E using a mathematical model. The mathematical model is selected from a group consisting of decision trees, neural networks, and one of three regressions: linear, logistic, and probit, in order to obtain the person's functional state evaluation value E.

[0102] The acquired functional status rating E is compared to a tabular rating selected from a table for the corresponding treatment trial (S9). The table for the corresponding treatment trial includes a set of functional status ratings from 1 to M, a description for each corresponding functional status rating, and standard recommendations. The fit of the acquired functional status rating to one of the ratings provided in the table for the corresponding treatment trial is identified.

[0103] Tables were created in advance through practical surveys of groups of people (e.g., groups of athletes, groups of people undergoing cardiac rehabilitation, or groups of people involved in physical training). Further analysis of the collected datasets of heart rate variability parameters was performed using expert assessment methods. Various tables were created with explanations and recommendations for different functional status ratings, where the recommendations represent standard recommendations. Different tables were created for different purposes.

[0104] Practical studies include recording ECGs before and after treatment trials, evaluating the recorded ECGs, and forming mathematical models using expert assessment methods for a set of identified standard functional states revealed for the group of people tested.

[0105] Corresponding tables were created for each group of identified standard functional states of individuals.

[0106] Generally, six states have been proposed for consideration; however, when providing therapeutic trials, five states have been considered in some application areas, or four states have been considered when evaluating combined therapeutic effects, such as those combined with exercise.

[0107] Expert evaluation is an examination method that involves processing the opinions of physicians who manually perform evaluations based on data collected during the examination of a person.

[0108] Each identified standard functional state was evaluated, a description of this state was provided, and standard recommendations for improving or maintaining a person's functional state were explained.

[0109] According to the requested method, in S10, the recommendation is formed for the person to implement, and the recommendation is based on the functional state description and standard recommendation for the identified functional state rating values ​​provided in the table.

[0110] In S11, the implementation of the formed recommendations is monitored, and the acquired monitoring data is stored. The implementation of the formed recommendations is adjusted based on the monitoring data.

[0111] In S12, the person's functional state is modified by implementing the formed recommendations and adjusting them based on monitoring data. The adjustment of the implementation of the formed recommendations is described below in the examples.

[0112] The explanations in the table for each corresponding functional status assessment value are selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof, which is extremely convenient for both people and physicians.

[0113] When using exercises from a group consisting of physical exercise, functional stress testing, respiratory exercise, physiotherapy exercise, and psychoemotional exercise, the acquired assessment value of a person's functional state is given in the table and determined to correspond to one of six assessment values ​​from 1 to M=6, which correspond to six states selected from a group consisting of dangerous exhaustion, exhaustion, fatigue, incomplete recovery, complete recovery, and supercompensation.

[0114] When using respiratory exercises, the identification of the fit of the acquired functional state assessment value to one of the assessment values ​​from 1 to M=6 provided in the table is performed. Six states are described in the table and are selected from the groups consisting of pathological state, gas exchange system fatigue, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and supercompensation.

[0115] When using effects from a group consisting of drug administration, physiotherapy effects, psycho-emotional effects, respiratory effects, or combinations thereof, the identification of the fit of the acquired value of the person's functional state assessment to one of the evaluation values ​​from 1 to M=5 provided in the table is performed. Five states are described in the table and are selected from the groups consisting of favorable improvement, unfavorable improvement, favorable deterioration, unfavorable deterioration, and no change.

[0116] According to another embodiment, the method includes the step of identifying the fit of an acquired person's functional state rating to one of four rating values ​​from 1 to M=4, which are provided in a table and comprise four states selected from the group consisting of overwork, fatigue, recovery, and supercompensation.

[0117] Possible embodiments involve using a mathematical model to obtain a person's functional state rating within a range of 0 to 10. Within this range, a value of 0 corresponds to the person's worst functional state, and a value of 10 corresponds to the person's best functional state.

[0118] A second embodiment of the method differs from the first embodiment in that multiple electrocardiograms are recorded. Figure 2 shows one embodiment of recording three electrocardiograms (at least ECG1, ECG2, and ECG3 of the first lead) S14, S16, and S18, where the first ECG1 is recorded first, followed by the second ECG2 in S15 after the person completes the first treatment trial, and the third ECG3 in S17 after the person completes the second treatment trial. Possible treatment trials are described above.

[0119] The method according to the second embodiment is carried out as follows.

[0120] At least one pair of recorded ECGi and ECGj is selected, and for each selected pair of ECGi and ECGj, sets of heart rate variability (HRV) parameters, Vi and Vj, are calculated.

[0121] In the embodiments described, two pairs of recorded ECGs are selected, for example, ECG1 and ECG2, and ECG1 and ECG3. For each ECG from the recorded ECG1, ECG2, and ECG3, corresponding sets of heart rate variability parameters V1, V2, and V3 are calculated in S19, S20, and S21.

[0122] The difference Δij between at least one calculated pair of HRV parameter sets Vi and Vj is calculated, and a parameter group Gij is formed for at least one calculated pair of HRV parameter sets Vi and Vj, consisting of the HRV parameter set Vi, the HRV parameter set Vj, and their calculated difference Δij.

[0123] In this embodiment, in S22 and S23, two differences Δ12 and Δ13 are calculated for each specified pair in the parameter set, respectively, and in S24 and S25, two groups of parameters G12 and G13 are formed.

[0124] Each formed group of parameters G12 and G13 is processed in a unit for evaluating a person's functional state using a mathematical model, and in S26 and S27, the person's functional state evaluation values ​​E12 and E13 are obtained. The mathematical model is selected from a group consisting of decision trees, neural networks, and one of three regressions: linear, logistic, and probit, in order to obtain the person's functional state evaluation value Eij for each formed group of parameters Gij.

[0125] In S28, each acquired value E12 and E13 is compared to a tabular evaluation value selected from a table for the corresponding treatment trial. The table for the corresponding treatment trial includes a set of functional status evaluation values ​​from 1 to M, a corresponding description for each evaluation value, and standard recommendations. The fit of the acquired functional status evaluation value Eij to one of the evaluation values ​​provided in the table for the corresponding treatment trial is identified.

[0126] In S29, recommendations are formed for individuals based on the functional status descriptions and standard recommendations provided in the table for identified functional status assessment values.

[0127] In S30, the implementation of the formed recommendations is monitored, and in S32, adjustments are made based on the monitoring data.

[0128] In S31, the person's functional state is modified by implementing the established recommendations and, if necessary, by adjusting them in S32. The modification process is described below.

[0129] In a second embodiment of the claimed method, it is possible to evaluate the quality of implementation of the formed recommendations (Figures 3 and 4).

[0130] Figure 3 shows one embodiment in which, in S14 and S16, two ECGs are first recorded, parameters V1 and V2 are calculated, and the difference Δ12 is calculated; in S24, a group of parameters G12 is formed and processed; in S26, the person's functional state evaluation value E12 before the recommendation is implemented is obtained; and in S28, E12 is compared with a tabular evaluation value. Then, in S29, the recommendation is formed and implemented as described above. Subsequently, in S18, a third ECG3 is recorded, V3 is calculated, and the difference Δ13 is calculated; and in S25, a group of parameters G13 is formed. After following the recommendation, in S27, group G13 is processed and the person's functional state evaluation value E13 is obtained.

[0131] Next, in S33, the functional status evaluation value E12 of the person obtained before receiving the recommendation, and the functional status evaluation value E13 of the person after implementing the formed recommendation, are compared with the evaluation values ​​in the table to obtain a quality evaluation value for the implementation of the recommendation. The aforementioned table of quality evaluation values ​​comprises the evaluation value before receiving the recommendation, the evaluation value after implementing the recommendation, and the corresponding quality evaluation value.

[0132] In addition, in S34, the correspondence of acquired quality evaluation values ​​to the table description of the quality evaluation values ​​for the recommended implementation is identified, where the table description of the quality evaluation values ​​for the recommended implementation comprises a set of evaluation values ​​from 1 to Q and a corresponding description for each quality evaluation value of the recommended implementation.

[0133] Figure 4 shows one embodiment of a method that provides the ability to obtain quality assessment values ​​for recommended implementation when four ECGs are recorded.

[0134] Similar to the embodiments described above, in S14 and S16, the first two ECGs are recorded, parameters V1 and V2 are calculated, the difference Δ12 is calculated, in S24, a group G12 of parameters is formed and processed, in S26, the functional state assessment E12 value of the person before the recommendation is implemented is obtained, and in S28, the E12 value is compared with a tabular assessment value.

[0135] Next, in S29, the recommendation is implemented as described above. After the recommendation is implemented, in S18, a third ECG3 is recorded, and in S35, after the person has performed the treatment trial, a fourth ECG4 is recorded in S36, and in S21 and S37, sets of HRV parameters V3 and V4 for that purpose are also calculated, in S23, the difference Δ34 is calculated, in S25, a group of parameters G34 is formed, and in S27, group G34 is processed and the E34 value of the functional status assessment after the recommendation has been implemented is obtained.

[0136] Next, the functional status evaluation value E12 obtained before the recommendation was made, and the functional status evaluation value E34 obtained after the recommendation was made, are compared with tabular values ​​to obtain a quality evaluation value for the implementation of the recommendation in S33. The table of quality evaluation values ​​comprises the evaluation value before the recommendation was made, the evaluation value after the recommendation was made, and the corresponding quality evaluation value for the implementation of the recommendation.

[0137] Additionally, in S34, the matching of the acquired quality evaluation values ​​for the recommended implementation with the table description is performed. The table of quality evaluation value descriptions for the recommended implementation comprises a set of evaluation values ​​from 1 to Q and a corresponding description for each evaluation value (see Example).

[0138] A third embodiment of the method differs from the first and second embodiments in that a Fourier transform is performed on all N recorded ECGs to obtain a Fourier amplitude spectrum for each recorded ECG.

[0139] In this embodiment (Figure 5), three electrocardiograms are recorded from at least the first lead, where in S38, the first ECG1 is recorded first, in S39, after the person has completed the first treatment trial, in S40, the second ECG2 is recorded, and each subsequent ECG is recorded. In this case, in S41, after the person has completed the subsequent, in this case the second treatment trial, in S42, ECG3 is recorded.

[0140] In the embodiment described, two pairs of recorded ECGs are selected, namely ECG1 and ECG2, and ECG1 and ECG3.

[0141] A Fourier transform is performed on each of the selected pairs, ECG1 and ECG2, to obtain the Fourier amplitude spectrum for each recorded ECG. In S43, S44, and S45, each obtained Fourier amplitude spectrum is discretized to obtain the discrete forms (DFECGs) of the Fourier amplitude spectra for ECG1, ECG2, and ECG3, respectively.

[0142] In S46, the difference ΔDFECG12 between a selected pair of discrete Fourier amplitude spectra, DFECG1 and DFECG2, is calculated, and in S47, the difference ΔDFECG13 between a selected pair of discrete Fourier amplitude spectra, DFECG1 and DFECG3, is calculated.

[0143] Next, in S48, a parameter group G12 consisting of DFECG1 and DFECG2 and their calculated difference Δ12 is formed for the pair ECG1 and ECG2, and in S49, a parameter group G13 consisting of DFECG1 and DFECG3 and their calculated difference Δ13 is formed for the selected pair ECG1 and ECG3.

[0144] In S50, the parameterized group G12 is processed in the functional state evaluation unit using a mathematical model selected from a group consisting of decision trees, neural networks, and one of three regressions: linear, logistic, and probit, and in S50, the value of E12 for evaluating the person's functional state is obtained. The parameterized group G13 is also processed in the functional state evaluation unit using a mathematical model selected from a group consisting of decision trees, neural networks, and one of three regressions: linear, logistic, and probit, and in S51, the value of E13 for evaluating the person's functional state is obtained.

[0145] In S52, the acquired functional status ratings E12 and E13 for the corresponding selected pair of recorded ECGs are compared with tabular ratings selected from a table for the corresponding treatment trial. The table for the corresponding treatment trial includes a set of functional status ratings from 1 to M, a corresponding description for each functional status rating, and standard recommendations. The correspondence between the acquired E12 and E13 values ​​for functional status ratings and one of the ratings provided in the table for the corresponding treatment trial is identified.

[0146] In S53, recommendations are formed for the person based on the functional status descriptions and standard recommendations provided in the table for the functional status evaluation values ​​obtained for all selected pairs of recorded ECG1, ECG2, and ECG3.

[0147] In S54, the implementation of the formed recommendations is monitored, and in S56, adjustments are made based on the monitoring data.

[0148] As a result, according to the claimed invention, in S55, the functional state of the person is modified by implementing the formed recommendation.

[0149] A third embodiment of the method also provides the ability to obtain quality evaluation values ​​for the implementation of the formed recommendations (Figure 6).

[0150] Figure 6 shows one embodiment in which, in S38 and S40, two ECGs, ECG1 and ECG2, are recorded, a Fourier transform is performed on each ECG1 and ECG2 to obtain a Fourier amplitude spectrum, and in S43 and S44, each obtained Fourier amplitude spectrum is discretized to obtain discrete forms (DFECGs) of the Fourier amplitude spectra for ECG1 and ECG2, respectively.

[0151] Next, the difference ΔDFECG12 is calculated, and in S48, a parameter group G12 is formed. In S50, group G12 is processed to obtain a person's functional state evaluation value E12 before the recommendation is implemented by the person. In S52, the value E12 is compared with a tabular evaluation value. Then, in S53, the recommendation is formed and implemented according to the method described above.

[0152] After the person implements the recommendation, a third ECG3 is recorded, a Fourier transform is performed on ECG3 to obtain the Fourier amplitude spectrum, the obtained Fourier amplitude spectrum is discretized to produce the discrete form of the Fourier amplitude spectrum for ECG3 (DFECG3). Next, the difference ΔDFECG13 is calculated to form a group of parameters G13, and in S51, the group of parameters G13 is processed to obtain a functional state evaluation value E13. The obtained value characterizes the functional state evaluation value of the person after the implementation of the recommendation.

[0153] Next, the functional status evaluation value E12 obtained before the recommendation was received, and the functional status evaluation value E13 obtained after the recommendation was implemented, are compared with the tabular evaluation value to obtain a quality evaluation value for the implementation of the recommendation in S58. The table comprises the evaluation value before the recommendation was received, the evaluation value after the recommendation was implemented, and the corresponding quality evaluation value for the implementation of the recommendation.

[0154] Additionally, in S57, the acquired quality evaluation values ​​for the implementation of the formed recommendations are compared with a table of quality evaluation value explanations. The table of quality evaluation value explanations comprises a set of quality evaluation values ​​from 1 to Q and a corresponding explanation for each quality evaluation value of the implementation of the recommendations.

[0155] A system 1 (Figure 7) for evaluating and correcting a person's functional state is disclosed for carrying out the claimed method. The system comprises a test scenario control unit 2 connected to an electrocardiograph 3 configured to record a set of at least the first lead electrocardiograms (ECGs) before and after a person performs at least one therapeutic test. The system then comprises an ECG storage unit 4 connected to the electrocardiograph 3.

[0156] System 1 is connected in series, The system further comprises a unit 5 connected to the ECG storage unit 4 for calculating a set of characteristic parameters for each recorded ECG, a unit 6 for calculating the difference Δ between pairs of sets of characteristic parameters and forming a group G of parameters, and a unit 7 for evaluating a person's functional state value, configured to process the formed group of parameters and obtain a person's functional state rating by using a mathematical model selected from a group consisting of decision trees, neural networks, and one of three regressions: linear, logistic, and probit, with unit 7 connected to unit 6.

[0157] System 1 also includes a unit 8 for selecting functional status descriptions and recommendations from a corresponding treatment trial's built-in table and forming standard recommendations based on the obtained evaluation values. The table includes a set of functional status evaluation values ​​for individuals from 1 to M, along with descriptions and standard recommendations for each evaluation value. A unit 9 for forming and storing recommendations is connected to unit 8.

[0158] The system includes a unit 10 for accumulating monitoring data, which is configured to store monitoring data on the implementation of the formed recommendations and to further detect deviations from the recommendations.

[0159] System 1 also includes a unit 11 for forming guidance for adjusting the implementation of formed recommendations for modifying a person's functional state.

[0160] System 1 includes a unit 12 connected to unit 10 for inputting monitoring data.

[0161] The system further comprises a unit 13 for updating formed recommendations, which is connected to a unit 9 for forming and storing recommendations. The updated information may be formed by a physician or a computer system.

[0162] Unit 5 for calculating a set of characteristic parameters is configured to calculate a set of heart rate variability parameters. In this embodiment, the system utilizes a heart rate recorder 3 capable of determining the timing of cardiac contractions.

[0163] An alternative embodiment is possible in which unit 5 for calculating a set of characteristic parameters is configured to determine the timing of cardiac contraction.

[0164] An alternative embodiment is possible in which unit 5 for calculating a set of characteristic parameters is configured to calculate a discretized form of the ECG (DFECG).

[0165] A method for evaluating and correcting a person's functional state according to a first embodiment of the present invention is disclosed in the following Examples 1 to 5. [Examples]

[0166] Example 1 relates to a method for evaluating and correcting the functional state of an athlete, which is carried out as follows.

[0167] The athlete's first ECG was recorded at 10:00 AM at the medical clinic after an overnight rest. Subsequently, the athlete performed a treatment test, namely prescribed physical exercise, 30 squats within 45 seconds, and a second ECG was recorded immediately.

[0168] ECG1 and ECG2 were processed using a heart rate recorder. Sets of V1 and V2 heart rate variability (HRV) parameters were calculated for each of the two recorded ECG1 and ECG2, and the difference Δ between the corresponding parameters of the acquired sets of V1 and V2 heart rate variability was calculated. Parameter group G was formed, consisting of the set of V1 HRV parameters, the set of V2 HRV parameters, and the calculated difference Δ between the sets of parameters.

[0169] Next, the group G, from which the parameters were obtained, was processed in a unit for evaluating human functional status values ​​using the mathematical model described above to obtain a functional status evaluation value for athletes. The result obtained was "3".

[0170] The obtained functional status assessment values ​​were compared with tabular assessment values ​​selected from Table 1 for the corresponding treatment trial, which consisted of 30 squats within 45 seconds.

[0171] Table 1 (shown below) provides a set of functional state evaluation values ​​from 1 to M=6, along with a text description for each evaluation value for the corresponding functional state, as well as standard recommendations.

[0172] Table 1 provides descriptions of six conditions selected from the group consisting of hazardous fatigue, exhaustion, fatigue, incomplete recovery, complete recovery, and supercompensation.

[0173] In the example under consideration, according to Table 1, a rating of 3 corresponds to a functional state of a person called "fatigue," that is, a state that results from physical or psychological overwork and causes dysfunction of the nervous system.

[0174] [Table 1A]

[0175] [Table 1B]

[0176] In Table 1, the anaerobic threshold heart rate (ATHR) is the heart rate at the anaerobic threshold. Heart rate is a physical quantity obtained by measuring the number of cardiac contractions per unit of time and is measured in heart rate per minute (bpm). The anaerobic threshold (ATHR) is an indicator of the efficiency of the bioenergy mechanism, characterizing the initiation of oxidative uncompensated activation of the anaerobic energy production process during muscle activity.

[0177] It was determined whether the athlete's functional status value of "3" corresponds to one of the values ​​from 1 to M=6, as shown in Table 1.

[0178] The recommendations for athletes were based on an identified correspondence between a functional status value of "3" and the standard recommendation of "exercise only in the aerobic zone (80-95% of ATHR), but recovery and rehabilitation exercises are also permitted." In this example, at least 30 minutes of cycling and running, or at least 30 minutes of walking recovery and rehabilitation exercises, was recommended. The athlete chose to exercise on a stationary bike.

[0179] Heart rate was measured during exercise to monitor compliance with the recommendations.

[0180] Functional status was controlled through recommended adjusted practices, namely increasing or decreasing pedaling cadence during cycling. Heart rate was measured during exercise using a Polar H10 heart rate monitor.

[0181] During exercise on my stationary bike, my heart rate exceeded the recommended range of 80-95% of my ATHR, so I was able to lower my pedaling cadence during the workout.

[0182] As a result, sports physicians determined that there was an improvement in the overall emotional state (mood) and an improvement in the functional state of the nervous system, as expressed in the level of physical tension and reduced physical fatigue. [Examples]

[0183] Example 2 relates to a method for evaluating and correcting the functional status of physical training participants (individuals who are actively involved in physical training but are not athletes), which is carried out as follows.

[0184] A first ECG was recorded in the sports medicine physician's office after morning exercise. Participants then performed a therapeutic test, specifically a respiratory load test, namely 30 forced inhalations and slow exhalations over 45 seconds. A second ECG was then recorded.

[0185] The obtained ECGs 1 and 2 were processed. For each of the two ECGs, the corresponding sets of V1 and V2 heart rate variability (HRV) parameters were calculated. The difference Δ between the corresponding parameters in the obtained V1 and V2 heart rate variability sets was calculated.

[0186] Group G was formed, consisting of a V1 set of HRV parameters, a V2 set of HRV parameters, and the calculated difference Δ between the parameter sets. The resulting group G was then processed using a mathematical model in a unit for evaluating a person's functional state value, and a functional state evaluation value was obtained. The result "5" was obtained.

[0187] The acquired functional status evaluation values ​​were compared with the evaluation values ​​in Table 2. The table contains sets of functional status evaluation values ​​from 1 to 6, along with the corresponding text description for each evaluation value for the corresponding functional status, as well as standard recommendations.

[0188] The acquired functional status evaluation value was compared to one of the evaluation values ​​provided in Table 2, which corresponds to one of six states selected from a group consisting of pathological state, gas exchange system fatigue, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and supercompensation. In this example, evaluation value 5 corresponds to the athlete's functional status "good gas exchange compensation".

[0189] [Table 2A]

[0190] [Table 2B]

[0191] [Table 2C]

[0192] Based on the obtained values ​​and tabular evaluation values ​​equal to 5, and the identified correspondences to the descriptions provided in Table 2, recommendations were formed for physical training participants. The recommendations are based on the standard recommendation "Physical activity: Perform aerobic-anaerobic, low- and moderate-intensity aerobic exercise at ATHR."

[0193] In this example, the recommended exercise intensity was 100kg weightlifting and high-speed cycling (a speed exceeding 30km / h, as determined by a speedometer).

[0194] To monitor compliance with recommendations, blood saturation and heart rate were measured during the recommended period.

[0195] Modifications to the individual's functional state were performed by adjusting the recommended implementation, namely increasing or decreasing the number of repetitions in weightlifting exercises and reducing the pedaling speed during cycling exercises. Blood saturation and heart rate were measured during 100 kg weightlifting exercises and high-speed cycling. Monitoring showed that saturation had decreased to 95% below the recommended range during the weightlifting session, so the physician instructed the individual to reduce the repetition count to one repetition.

[0196] Monitoring showed that during high-speed cycling, blood pressure fluctuated beyond the recommended range, with systolic blood pressure exceeding 180 mmHg and diastolic blood pressure dropping below 50 mmHg. Therefore, the trainer set the pedaling speed to less than 15 km / h.

[0197] As a result, lung function was maintained. [Examples]

[0198] Example 3 relates to a method for evaluating and correcting the functional status of clinical patients receiving treatment by a general practitioner for acute respiratory viral infection (ARVI). The method was carried out as follows:

[0199] At the hospital, a first ECG was recorded after minimal diagnostic and therapeutic procedures, including profiling and examinations. A therapeutic trial, specifically intravenous pharmacological treatment, was performed, namely intravenous administration of 200 ml of 0.9% sodium chloride solution. A second ECG was then recorded. This was done to mitigate toxicity and improve the complete blood count results.

[0200] The acquired ECGs 1 and 2 were processed. For each of the two ECGs, the corresponding sets of V1 and V2 heart rate variability (HRV) parameters were calculated. The difference Δ between the corresponding parameters in the acquired V1 and V2 heart rate variability sets was calculated. Group G was formed, consisting of the V1 set of HRV parameters, the V2 set of HRV parameters, and the calculated difference Δ.

[0201] Next, the group from which the parameters were obtained was processed in the functional state evaluation unit, and a functional state evaluation value was acquired. A functional state evaluation value of "4" was obtained.

[0202] The obtained functional status ratings were compared with the ratings in Table 3. Table 3 (below) provides a set of patient functional status ratings from 1 to M=5, along with corresponding explanations and standard recommendations for each rating for the corresponding functional status. The obtained functional status ratings were compared with one of the ratings provided in Table 3.

[0203] In this example, a score of 4 corresponds to a patient's functional status of "favorable improvement" and an increase in the initial level of functional ability. A description of the functional status and corresponding recommendations are provided in Table 3.

[0204] [Table 3]

[0205] The recommendations were formed based on the identified correspondences between the acquired functional status assessments and tabular assessment values, and the textual descriptions of the functional status values ​​provided in Table 3. These recommendations were based on the standard recommendation, "Stop the action. Further action will be determined taking into account any favorable changes in the functional state of the person's body resulting from the action performed." Palpation, percussion, and auscultation were used to monitor compliance with the recommendations.

[0206] The functional status was corrected through the adjusted implementation of the recommended procedure, namely, the discontinuation of the intravenous procedure.

[0207] Following the completion of the intravenous procedure, no deviations from practical standards were detected during rest, based on palpation, percussion, and auscultation.

[0208] As a result, the general practitioner determined that the patient's physical condition had improved significantly, as reflected in reduced cold symptoms and improved clinical blood test results. [Examples]

[0209] Example 4 relates to a method for evaluating and correcting the functional status of patients undergoing rehabilitation, as described below.

[0210] A first ECG was recorded, followed by a treatment trial. The treatment trial consisted of 30 squats over 45 seconds, followed by physiotherapy. A magnetic therapy session was used as a treatment trial, after which a second ECG was recorded. The acquired ECG1 and ECG2 were processed. For each ECG, the corresponding sets of V1 and V2 heart rate variability (HRV) parameters were calculated. The difference Δ between the corresponding parameters in the acquired V1 and V2 heart rate variability sets was calculated. Group G was formed, consisting of the V1 set of HRV parameters, the V2 set of HRV parameters, and the calculated difference Δ between the parameter sets.

[0211] Next, the group from which the parameters were obtained was processed in the functional state evaluation unit, and a functional state evaluation value was obtained. The obtained evaluation value was "2".

[0212] The obtained functional state evaluation values ​​were compared with the evaluation value table. Table 4 (shown below) contains a set of functional state evaluation values ​​from 1 to M=4, a corresponding text description for each evaluation value for the corresponding functional state, and standard recommendations.

[0213] The acquired functional status assessment value was determined to correspond to one of the assessment values ​​provided in Table 4. Assessment value "2" corresponds to the patient's functional status "fatigue," a condition resulting from physical or psychological overwork that determines nervous system dysfunction.

[0214] [Table 4A]

[0215] [Table 4B]

[0216] The recommendations were formed based on the identified correspondence between the acquired functional status value "2" and the tabular evaluation value, as well as the textual descriptions of functional status provided in Table 4. These recommendations are based on the standard recommendation "exercise should be performed only in the aerobic zone (80-95% of ATHR heart rate), but recovery and rehabilitation exercises are also permitted."

[0217] In this example, the patient was advised to perform 30 minutes of exercise on the elliptical and rowing machines in a single, continuous session.

[0218] The physician performed palpation and percussion while implementing the recommendations to monitor compliance with the recommendations.

[0219] The functional status was corrected through a modified implementation of the recommended exercises, namely by increasing or decreasing the number of steps on the elliptical or strokes on the rowing machine during a 30-minute session. During exercise on the elliptical and rowing machine, palpation and percussion revealed that the heart rate increased to above the recommended 140 beats per minute. Therefore, the physician recommended reducing the number of steps on the elliptical and strokes on the rowing machine.

[0220] As a result, physicians observed a reduction in patients' physical and psychological stress, improved functional abilities, mood, and subjective perception of health. [Examples]

[0221] Example 5 relates to a method for evaluating and correcting the functional state of an athlete, as described below.

[0222] A first ECG was recorded, followed by a therapeutic test. The therapeutic test consisted of 30 push-ups within 45 seconds, after which a second ECG was recorded. The acquired ECG1 and ECG2 were processed. Corresponding sets of V1 and V2 heart rate variability (HRV) parameters were calculated for each of the two ECGs. The difference Δ between the corresponding parameters in the acquired V1 and V2 heart rate variability sets was calculated. Parameter groups were formed, consisting of the V1 set of HRV parameters, the V2 set of HRV parameters, and the calculated Δ difference between the parameter sets.

[0223] Next, the obtained parameter group was processed in the functional state evaluation unit, and a functional state evaluation value was acquired. The acquired functional state evaluation value was "7.4".

[0224] The obtained functional status ratings were compared to tabular ratings selected from Table 5 for the corresponding therapeutic test of 30 push-ups in 45 seconds. Table 5 (shown below) provides a set of functional status ratings from 0 to M=10, along with the corresponding text description and standard recommendations for each rating.

[0225] In the example under consideration, a score of 7.4 corresponded to the athlete's “good functional state.” This refers to a state of recovery to an initial level of physical functional ability, characterized by an increase in the effectiveness of work performed over a period of time, as well as a state resulting from a temporary decline in activity and physical functional ability, characterized by a decrease in the effectiveness of work performed over a period of time.

[0226] [Table 5A]

[0227] [Table 5B]

[0228] Recommendations for athletes were formed based on the identified correspondence between the acquired functional status values ​​and tabular assessment values ​​in 7.4, as well as the textual descriptions of functional status provided in the tables. These recommendations are based on the standard recommendation, “Perform exercise in the developmental (95-110% ATHR) and aerobic (90-100% ATHR) zones, but recovery and rehabilitation exercises are also permitted.”

[0229] In this example, performing a 93kg deadlift was recommended.

[0230] To monitor compliance with the recommendations, body temperature was measured during the implementation of the recommendations, and the level of blood lactate accumulation was simultaneously determined.

[0231] The functional state was modified through the recommended adjusted implementation, namely by increasing the number of sets, with each set comprising 6 deadlift repetitions, to ensure work within the developmental heart rate zone.

[0232] The athlete's body temperature was measured during the deadlift and found to be 36.8°C, and blood lactate levels did not exceed 5 mmol / L. Therefore, the sports trainer recommended performing 4 sets.

[0233] A second embodiment of the present invention, a method for evaluating and correcting a person's functional state, is shown below by Examples 6 to 10. [Examples]

[0234] Example 6 relates to a method for evaluating and correcting the functional status of teenagers who are actively involved in physical education.

[0235] The first ECG was recorded in a resting state in the school doctor's office after school. The teenager then performed the first treatment test, which consisted of a prescribed physical exertion of 30 arm swings in 45 seconds, after which a second ECG was recorded. The teenager then performed the second treatment test, which consisted of 20 forced inhalations and slow exhalations in 45 seconds, followed by a third ECG.

[0236] The acquired ECG1, ECG2, and ECG3 were processed, and the corresponding sets of V1, V2, and V3 heart rate variability (HRV) parameters were calculated for each of the three recorded ECGs. The differences Δ12 and Δ13 between the corresponding parameters of the acquired sets of V1 and V2, and V1 and V3 heart rate variability, were then calculated.

[0237] Two groups of parameters were formed: one group consisting of a set of HRV parameters V1, a set of HRV parameters V2, and the calculated difference Δ12 between the sets of parameters; and another group consisting of a set of HRV parameters V1, a set of HRV parameters V3, and the calculated difference Δ13.

[0238] The obtained parameter group was processed in the functional state evaluation unit, and functional state evaluation values ​​were acquired. This resulted in an evaluation value of "5" for the first pair of HRV parameter sets and a value of "3" for the second pair of sets.

[0239] The obtained evaluation values ​​were compared with tabular evaluation values ​​selected from Table 1 for the first treatment test, i.e., 30 arm swings in 45 seconds, and Table 2 for the second treatment test, i.e., 20 forced inhalations and slow exhalations, along with the corresponding text descriptions for each evaluation value of the corresponding functional state. The obtained functional state evaluation values ​​were compared with one of the evaluation values ​​provided in the table for the corresponding treatment test.

[0240] In this example, evaluation values ​​"5" and "3" correspond to the functional states of teenagers as "full recovery" and "insufficient compensation for gas exchange," respectively. Functional state descriptions and corresponding standard recommendations are provided in Table 1 and Table 2.

[0241] Individual recommendations were based on the identified correspondence between acquired functional status values ​​5 and 3 and tabular assessment values, as well as the textual descriptions of functional status presented in Table 1 and Table 2. These recommendations were based on the standard recommendation "exercise in the aerobic and developmental zone (HR 95–110% of ATHR), but recovery and rehabilitation exercises are also permitted," as in "perform low-intensity aerobic physical activity."

[0242] In the example described, an overall recommendation for outdoor long-distance walking exceeding 30 minutes over a continuous period was given.

[0243] For monitoring the implementation, auscultation and blood pressure measurement were performed during walking.

[0244] The patient's functional state was modified by the adjusted implementation of the recommendation, that is, by increasing or decreasing the walking speed. This was achieved by auscultation and blood pressure measurement during walking.

[0245] During walking, auscultation revealed a heart rate below the recommended 100 beats per minute, so the trainer recommended increasing the walking speed.

Example

[0246] Example 7 relates to a method for evaluating and modifying the functional state of a patient with chronic renal failure who is receiving treatment by a doctor.

[0247] The first ECG was recorded in the hospital, and then a treatment test was performed. An intravenous pharmacological treatment was carried out as the administration of 200 ml of 0.9% sodium chloride solution with an added therapeutic agent, that is, heparin, to achieve an anti-inflammatory effect and an analgesic effect, and then the second ECG was recorded.

[0248] The recorded ECG1 and ECG2 were processed. The corresponding sets of V1 and V2 heart rate variability (HRV) parameters were calculated for each of the two ECGs. The difference Δ12 between the corresponding parameters of the obtained V1 and V2 heart rate variability sets was calculated. A group G was formed consisting of the V1 set of HRV parameters, the V2 set of HRV parameters, and the calculated Δ12 difference between the parameter sets.

[0249] Next, the obtained parameter group was processed in the functional state evaluation unit to obtain a patient functional state evaluation value. As a result, a functional state evaluation value of "4" was obtained.

[0250] The obtained functional status evaluation values ​​were compared with a table of evaluation values. Table 6 (below) contains a set of functional status evaluation values ​​from 1 to M=5, along with the corresponding text description for each evaluation value for the corresponding functional status, and standard recommendations. The obtained functional status evaluation values ​​were compared with one of the evaluation values ​​provided in Table 6.

[0251] In this example, the functional status evaluation value of 4 corresponds to the patient's functional status of "favorable improvement" and an increase in initial functional ability. A description of the functional status and corresponding recommendations are provided in Table 6.

[0252] [Table 6A]

[0253] [Table 6B]

[0254] The recommendations were formed based on the identified correspondence between the obtained functional status value "4" and the tabular evaluation value, and the textual descriptions of the functional status provided in Table 6. These recommendations are based on the standard recommendation: "Perform a functional assessment using prescribed physical activity. If values ​​equal to 1, 2, or 3 are obtained, a specialist consultation is required to determine the appropriateness of the therapeutic action. After this, additional actions may be taken to correct the functional status."

[0255] After receiving the recommendation, i.e., after the functional status assessment, ECG3 was recorded, followed by a treatment test, a physical activity consisting of 10 squats in 45 seconds, performed by the patient, and then ECG4 was recorded.

[0256] The acquired ECG3 and ECG4 were processed, and corresponding sets of V3 and V4 heart rate variability (HRV) parameters were calculated for each of the two recorded ECGs. The difference Δ34 between the corresponding parameters in the acquired sets of V3 and V4 heart rate variability was calculated, and a parameter group G was formed, consisting of the set of V3 HRV parameters, the set of V4 HRV parameters, and the calculated difference Δ34 between the sets of parameters.

[0257] Next, the group G from which the parameters were obtained was processed in the functional state evaluation unit, and a functional state evaluation value was acquired.

[0258] An evaluation score of "3" was obtained, and subsequently, the physician recommended the additional administration of 200 ml of Reamberin solution intravenously.

[0259] During intravenous administration of Reamberin solution, an ECG was recorded to monitor the implementation of the recommended procedure.

[0260] The functional status was corrected through the recommended modified implementation, namely continuous intravenous infusion of Reamberin solution, and an electrocardiogram was recorded during administration.

[0261] Based on the calculated HRV parameters, an improvement in functional status was determined in the recorded ECG during intravenous infusion of Reamberin solution. This result allowed the physician to continue administering the solution. As a result, inflammation was reduced and a sustained analgesic effect was achieved.

[0262] According to a second embodiment of the present invention, it is possible to evaluate the quality of the implementation of the recommendation. For this purpose, at least two ECGs are recorded, HRV parameters are calculated, the difference Δ between the HRV parameters is calculated, a group G of parameters is formed and processed, and a value E of the evaluation of the person's functional state before the implementation of the recommendation is obtained.

[0263] The recommendation is formed and implemented by realizing the method according to claim 14, and then at least one additional ECG is recorded. Between each consecutive pair of ECGs, a person performs a treatment test, the ECGs recorded additionally are processed, and a functional status evaluation value after the implementation of the recommendation is obtained.

[0264] The obtained functional status evaluation value of the person before receiving the recommendation and the functional status evaluation value of the person after the implementation of the formed recommendation are compared with the tabular evaluation value, and a quality evaluation value of the implementation of the recommendation is obtained. The table of quality evaluation values (Table 7) includes the evaluation value before executing the recommendation, the evaluation value after implementing the recommendation, and the corresponding quality evaluation value of the implementation of the recommendation.

[0265]

Table 7

[0266] Furthermore, the conformity of the obtained quality evaluation value of the implementation of the recommendation with the table description of the quality evaluation values provided in Table 8 is identified. The following Table 8 includes a set of evaluation values from 1 to Q and the corresponding descriptions for each evaluation value of the corresponding quality of the implementation of the recommendation.

[0267]

Table 8

Example

[0268] Example 8 relates to a method for evaluating and modifying the functional status of a patient undergoing rehabilitation, which was implemented as follows.

[0269] A first ECG was recorded, and then the patient performed a treatment test. The treatment test consisted of 10 squats within 45 seconds of the prescribed physical exercise, and a second ECG was immediately recorded.

[0270] The acquired ECGs were processed. For each of the two ECGs, the corresponding sets of V1 and V2 heart rate variability (HRV) parameters were calculated. The difference Δ between the corresponding parameters in the acquired V1 and V2 heart rate variability sets was calculated. Group G was formed, consisting of the V1 set of HRV parameters, the V2 set of HRV parameters, and the calculated difference Δ between the parameter sets.

[0271] Next, the group from which the parameters were obtained was processed in the patient function assessment unit, and a function assessment value was acquired. The acquired value was "5".

[0272] This functional assessment value was compared to a tabular assessment value selected from Table 1 for a corresponding treatment trial, a physical exercise consisting of 10 squats within 45 seconds.

[0273] In this example, a value of "5" corresponds to a state of "full recovery" in the patient's functional status, that is, a state of recovery characterized by an increase in the initial level of functional ability, which is marked by an increase in the efficiency of tasks performed over a given period of time.

[0274] The recommendations were designed for athletes based on the determined fitness level of a functional status value of "5" obtained, and the standard recommendation of "exercise in the aerobic and developmental zone (95-110% of ATHR), but recovery and rehabilitation exercises are also permitted."

[0275] In this example, a 90-minute walk outdoors was recommended.

[0276] After receiving these recommendations, the patient went outside and walked for 90 minutes.

[0277] After returning from walking, an ECG was recorded, and the patient then completed the treatment test. A similar treatment test, namely 10 squats within 45 seconds, which had been performed prior to the recommendation, was used. ECG 4 was recorded immediately.

[0278] The obtained ECG3 and ECG4 were processed. Corresponding sets of V3 and V4 heart rate variability (HRV) parameters were calculated for each of the two recorded ECGs. The difference Δ between the corresponding parameters of the acquired V3 and V4 heart rate variability sets was calculated. Group G was formed, consisting of the V3 HRV parameter set, the V4 HRV parameter set, and the calculated Δ difference between the parameter sets.

[0279] Next, the obtained parameter group was processed in the functional state evaluation unit. The acquired value was "3".

[0280] The patient's functional status assessments, obtained before and after following the recommendations, were compared with the tabular values ​​in Table 7 to obtain quality assessments for the implementation of the recommendations. Table 7 (shown above) comprises a set of assessment values ​​from 1 to Q, and corresponding descriptions for each assessment value of the corresponding quality of the implementation of the recommendations, provided in Table 8.

[0281] The acquired quality evaluation value was determined to correspond to one of the evaluation values ​​from 1 to 6 provided in Table 8. Table 8 includes six quality descriptions selected from a group consisting of an unexpected combination of functional state evaluations, nearly ideally selected load intensity during training, well selected load intensity during training, insufficient load intensity during training, excessive load intensity during training, and extremely inaccurate load intensity during training.

[0282] In this example, the value "5" before following the recommendation and the value "3" after following the recommendation correspond to "a nearly ideally matched load intensity during training." [Examples]

[0283] Example 9 relates to a method for evaluating and correcting the functional state of a top-class athlete (International Master of Sports in Judo).

[0284] The first ECG was recorded while the athlete was at rest, before morning training. The athlete then performed the first therapeutic test, which consisted of a prescribed physical load of 30 squats within 45 seconds. The second ECG was then recorded immediately.

[0285] Next, the athlete performed a second treatment test. The treatment test consisted of 30 forced inhalations and slow exhalations within 45 seconds. A third ECG was immediately recorded. The acquired ECG1, ECG2, and ECG3 were processed. The corresponding sets of heart rate variability (HRV) parameters, V1, V2, and V3, were calculated for each of the three recorded ECGs.

[0286] The differences Δ12 and Δ13 between the corresponding parameters of the acquired sets V1 and V2 of heart rate variability, and V1 and V3, were calculated. Two groups of parameters were formed: one group consisting of set V1 of HRV parameters, set V2 of HRV parameters, and the calculated difference Δ12 between the parameter sets; and the other group consisting of set V1 of HRV parameters, set V3 of HRV parameters, and the calculated difference Δ13.

[0287] Next, the obtained groups were processed in the functional status assessment unit to obtain functional status ratings for the athletes. The obtained ratings were "6" for the first pair of HRV parameter sets and "5" for the second pair of HRV parameter sets. The obtained ratings were compared to tabular ratings selected from Table 1 for the first treatment test (i.e., 30 squats in 45 seconds) and Table 2 for the second treatment test (i.e., 30 forced inhalations and slow exhalations). The corresponding text descriptions for each rating for the corresponding functional status were also compared.

[0288] In this example, evaluation values ​​"6" and "5" correspond to the athlete's functional states of "supercompensation" and "good gas exchange compensation," respectively. Descriptions of the functional states and corresponding standard recommendations are provided in Table 1 and Table 2.

[0289] The recommendations are based on the identified correspondence between the acquired functional status values ​​"6" and "5" and the tabular evaluation values, as well as the textual descriptions of the functional statuses, and the standard recommendations "Perform exercise in the anaerobic zone (110-120% of ATHR), but aerobic, recovery, and rehabilitation exercises are also permitted," and "Physical activity: Perform aerobic-anaerobic, low and moderate-intensity aerobic exercise at ATHR."

[0290] Overall recommendations were issued for sparring with elite athletes under maximum physical stress, i.e., for engaging in high-intensity physical activity.

[0291] Three electrocardiograms were recorded after exercise to obtain the quality assessment values ​​for the formed recommended implementation. After training, a fourth ECG4 was recorded first at rest, and then the athlete performed a third therapeutic test. The therapeutic test consisted of a controlled physical load of 30 squats in 45 seconds, and a fifth ECG5 was recorded immediately. Then the athlete performed a fourth therapeutic test. The therapeutic test consisted of 30 forced inhalations and slow exhalations in 45 seconds, and a sixth ECG6 was recorded immediately.

[0292] The acquired ECG4, ECG5, and ECG6 were processed. Corresponding sets of V4, V5, and V6 HRV parameters were calculated for each of the three recorded ECGs. Differences Δ45 and Δ46 were calculated between the corresponding parameters of the acquired sets of V4 and V5, as well as V4 and V6 heart rate variability. Two groups of parameters were formed: one group consisting of a set of V4 HRV parameters, a set of V5 HRV parameters, and the difference Δ45 between the parameter sets; and another group consisting of a set of V4 HRV parameters, a set of V6 HRV parameters, and the difference Δ46.

[0293] The groups from which the parameters were obtained were processed in the functional state assessment unit to acquire functional state assessment values ​​for the athletes. The acquired value was "2" for the third pair of HRV parameter sets, and the value "3" was for the fourth pair of HRV parameter sets.

[0294] The obtained evaluation values ​​were compared with tabular evaluation values ​​selected from Table 1 for the first treatment trial, i.e., 30 squats in 45 seconds, and Table 2 for the second treatment trial, i.e., 30 forced inhalations and slow exhalations. The fit of each functional status evaluation value with the tabular descriptions of the evaluation values ​​provided in Table 1 and Table 2 for the corresponding treatment trials was identified.

[0295] In this example, evaluation values ​​"2" and "3" correspond to the athlete's functional state of "overwork and insufficient gas exchange compensation." Functional state descriptions and corresponding recommendations are provided in Table 1 and Table 2.

[0296] Recommendations for athletes were based on the identified correspondence between the acquired functional status values ​​"2" and "3" and the tabular evaluation values, as well as the textual descriptions of functional status provided in Table 1 and Table 2. Standard recommendations were to "exercise in the recovery or aerobic zone (70-80% of ATHR), but rehabilitation exercise is permitted," and to "perform low-intensity aerobic physical activity."

[0297] The example given provided an overall recommendation of 45 seconds of exercise on an exercise bike.

[0298] To monitor compliance with the recommendations, heart rate was measured during exercise using a Garmin heart rate monitor.

[0299] The athlete's functional state was modified by the athlete's adjusted exercise process, specifically by increasing or decreasing pedaling speed. For this purpose, heart rate was measured during exercise using a Garmin heart rate monitor.

[0300] During exercise, the heart rate measured using a heart rate monitor was higher than the recommended 145 beats per minute, so the trainer recommended reducing the pedaling speed. [Examples]

[0301] Example 10 relates to a method for evaluating and correcting the functional status of a 7-year-old child with a sleep disorder.

[0302] The first ECG1 was recorded at rest, after which the child performed the first therapeutic test. The therapeutic test was a controlled physical load consisting of 30 squats in 45 seconds, and the second ECG2 was recorded immediately. The child then performed the second therapeutic test. The therapeutic test consisted of 30 forced inhalations and slow exhalations in 45 seconds, and the third ECG3 was recorded immediately.

[0303] The acquired ECG1, ECG2, and ECG3 were processed, and corresponding sets of V1, V2, and V3 heart rate variability (HRV) parameters were calculated for each of the three recorded ECGs. The differences Δ12 and Δ13 between the corresponding parameters of the acquired sets of V1 and V2, and V1 and V3 heart rate variability, were calculated, and two groups of parameters were formed: one group consisting of set V1 of HRV parameters, set V2 of HRV parameters, and the calculated difference Δ12 between the sets of parameters; and another group consisting of set V1 of HRV parameters, set V3 of HRV parameters, and the calculated difference Δ13.

[0304] Next, the resulting groups were processed in the functional state evaluation unit to obtain functional state evaluation values. This resulted in a value of "3" for the first pair of HRV parameter sets and a value of "4" for the second pair of HRV parameter sets.

[0305] The obtained evaluation values ​​were compared with tabular evaluation values ​​selected from Table 1 for the first treatment test, i.e., 30 squats in 45 seconds, and Table 2 for the second treatment test, i.e., 30 forced inhalations and slow exhalations, along with the corresponding textual descriptions for each evaluation value for the corresponding functional state.

[0306] The acquired functional status assessment value was compared to one of the assessment values ​​provided in the table for the corresponding treatment trial prior to implementing the recommendation.

[0307] In this example, evaluation values ​​"3" and "4" correspond to the child's functional state of "fatigue and moderate gas exchange compensation." Functional state descriptions and corresponding standard recommendations are provided in Table 1 and Table 2.

[0308] Recommendations for children were based on the identified correspondence between tabular assessment values ​​and the acquired functional status values ​​"3" and "4," as well as the textual descriptions of the functional status provided in Table 1 and Table 2. Standard recommendations were to "perform exercise only in the aerobic zone (80-95% of ATHR), but recovery and rehabilitation exercises are also permitted," and to "perform low- and moderate-intensity aerobic physical activity."

[0309] In the example described, at least 30 minutes of outdoor walking before bedtime was recommended. Following these recommendations, the child went outside before bedtime and walked for 35 minutes.

[0310] After returning from walking, ECG4 was recorded. The obtained ECG4 was processed, which involved calculating the corresponding V4 set of heart rate variability (HRV) parameters for the recorded ECG, calculating the difference Δ14 between the corresponding parameters in the acquired V1 and V4 sets, and forming parameter groups consisting of the V1 set of HRV parameters, the V4 set of HRV parameters, and the calculated Δ14 difference between the parameter sets.

[0311] Next, the obtained parameter group was processed in the functional state assessment unit to obtain assessment values ​​for the child's functional state after following the recommendations. This resulted in a value of "4" for the third pair of HRV parameter sets. The assessment values ​​obtained before and after following the recommendations were compared with tabular assessment values ​​selected from Table 7 to evaluate the quality of the training session, along with the corresponding text descriptions for the assessment values ​​for the corresponding functional states.

[0312] The acquired functional status evaluation value was compared to one of the evaluation values ​​provided in the corresponding table describing the quality of the recommended implementation.

[0313] In this example, a rating of "4" corresponds to the recommended implementation quality description, "Well-matched load intensity during training." The recommended implementation quality description is provided in Table 8.

[0314] Next, the child went to sleep. Upon waking, it was recommended to perform a functional status assessment. For this purpose, an ECG(5) was recorded after the child woke. The child then performed a third treatment test similar to the first treatment test, namely 30 squats over 45 seconds, after which an ECG(6) was recorded. The acquired ECG5 and ECG6 were processed.

[0315] For each of the two recorded ECGs, ECG5 and ECG6, V5 and V6 heart rate variability (HRV) parameters were calculated. The difference Δ56 between the corresponding parameters of the acquired V5 and V6 heart rate variability sets was calculated. Parameter groups were formed, consisting of the V5 HRV parameter set, the V6 HRV parameter set, and the calculated Δ56 difference between the parameter sets.

[0316] Next, the obtained parameter group was processed in the functional state evaluation unit using one of the mathematical models described above to obtain a functional state evaluation value for the child. This resulted in a functional state evaluation value of "4".

[0317] The obtained functional status assessment values ​​were compared with tabular assessment values ​​selected from Table 1 for the corresponding treatment trial, which consisted of physical exercise consisting of 30 squats within 45 seconds.

[0318] Table 1 provides a set of values ​​for a child's functional status, ranging from 1 to M=6, along with a textual description and standard recommendations for each value. Table 1 includes descriptions of six states selected from the group consisting of hazardous exhaustion, exhaustion, fatigue, incomplete recovery, complete recovery, and supercompensation.

[0319] In this example, the value "4" corresponds to the child's functional state of "incomplete recovery," according to Table 1, that is, a state resulting from activity and a temporary decline in physical functional ability, characterized by a decrease in the effectiveness of work performed over a period of time. The acquired value of "4" for the assessment of the child's functional state was determined to correspond to one of the assessment values ​​provided in Table 1.

[0320] The recommendations for children were formed based on a determined correspondence between the acquired value of "4" and the standard recommendation that "exercise should be performed in the aerobic zone, with a small percentage of time spent in the developmental zone (90-100% of ATHR), but recovery and rehabilitation exercises are also permitted."

[0321] In this example, it was recommended to continue taking at least 30 minutes of outdoor walks before going to bed. Heart rate was measured while the recommendation was being followed to monitor compliance with the recommendation.

[0322] The functional status was modified through the recommended adjusted implementation, namely increasing or decreasing walking speed during outdoor walks. For this purpose, heart rate was measured during walks using a Polar H10 heart rate monitor.

[0323] During walking, the child's heart rate did not rise to the recommended 60-70% of a normal heart rate, so the child increased their walking speed.

[0324] As a result, parents noticed an improvement in their children's sleep quality.

[0325] A third embodiment of the present invention, a method for evaluating and correcting a person's functional state, is shown in Example 11. [Examples]

[0326] Example 11 relates to a method for evaluating and correcting the functional state of an athlete, as described below.

[0327] The first ECG1 was recorded, after which the athlete performed a treatment test. The treatment test consisted of 20 push-ups within 45 seconds. The second ECG2 was recorded after the push-ups were completed.

[0328] A Fourier transform was performed on the recorded ECGs to obtain the Fourier amplitude spectrum for each recorded ECG. The transformed ECG1 and ECG2 were processed, i.e., each obtained Fourier amplitude spectrum was discretized to obtain the discrete form (DFECG) of the Fourier amplitude spectrum for each transformed ECG. For the obtained pairs of DFECGs, the difference ΔDFECG between selected pairs of discrete Fourier amplitude spectra was calculated, and a parameter group consisting of DFECG pairs and their calculated difference ΔDFECG was formed.

[0329] The obtained parameter group was processed in the functional state evaluation unit. As a result, a functional state evaluation value of "1" was obtained.

[0330] The functional status values ​​obtained for athletes were compared to tabular values ​​selected from Table 1 for a corresponding therapeutic test, namely 20 push-ups in 45 seconds. Table 1 provides a set of functional status values ​​from 1 to M=6, along with the corresponding text description for each value for the corresponding functional status, and standard recommendations.

[0331] The functional status of athletes was assessed and compared to one of the rating values ​​from 1 to M=6, as shown in Table 1. Table 1 provides descriptions of six states, selected from the groups consisting of hazardous exhaustion, exhaustion, fatigue, incomplete recovery, complete recovery, and supercompensation.

[0332] In this example, a value of "1" corresponds to the individual's functional state of "severe (dangerous) overwork." Descriptions of functional states and corresponding standard recommendations are provided in Table 1.

[0333] The recommendations were devised based on the identification of conformity with the acquired functional status values ​​and assessment values ​​provided in the table, the textual description of the functional status, and the standard recommendations, namely, a complete ban on physical activity and an emergency health assessment. To monitor conformity with the recommendations, the sports medicine physician called emergency services to conduct a health assessment of the athlete.

[0334] The athlete's functional condition was corrected through the recommended controlled implementation, namely, "complete prohibition of physical activity." For this purpose, the athlete was placed on a stretcher and transported by ambulance.

[0335] While in the ambulance, an acute inflammatory process was diagnosed. [Industrial applicability]

[0336] This method enables the monitoring, assessment, and modification of a person's functional state. It can be used in a variety of settings, including hospitals and first-aid stations, for the assessment and modification of functional states, taking into account the presence of chronic and / or acute pathological processes, as well as for monitoring individuals undergoing recovery and / or rehabilitation, and for modifying the functional states of individuals outside of healthcare facilities, such as sports organizations, fitness clubs, gyms, resorts, schools, and kindergartens, with personal support. [Explanation of symbols]

[0337] 1 System 2. Inspection Scenario Control Unit 3. Electrocardiograph, heart rate recorder 4 ECG storage units 5. Unit for calculating a set of characteristic parameters for each recorded ECG, unit for calculating a set of characteristic parameters 6. Calculate the difference Δ between pairs of characteristic parameters and units to form a group G of parameters. A unit for evaluating the functional status values ​​of 7 people. 8. Select the description of functional status and recommendations from the corresponding treatment trial inclusion table, and based on the obtained evaluation values, create units to form standard recommendations. 9. Unit for forming and storing recommendations 10. Unit for accumulating monitoring data Unit for forming guidance for coordinating the implementation of formed recommendations for correcting the functional status of 11 individuals 12. Unit for inputting monitoring data 13. Units for updating formed recommendations

Claims

1. A method for evaluating and correcting a person's functional state, - A step of recording at least two electrocardiograms (ECGs) of the first lead, wherein the first ECG1 is recorded first, and after the person has completed the treatment trial, the second ECG2 is recorded. - A step of calculating corresponding sets V1 and V2 of heart rate variability (HRV) parameters for the recorded ECG1 and ECG2, - A step of calculating the difference Δ between the acquired sets of heart rate variability parameters V1 and V2, - A step of forming a group of parameters G consisting of the set of HRV parameters V1, the set of HRV parameters V2, and the calculated difference Δ between the sets of parameters, - A step of processing the formed group G of parameters V1, V2, and Δ in a unit for evaluating the functional state of the person using a mathematical model, wherein the mathematical model is selected from a group consisting of a decision tree, a neural network, and one of three regressions: linear, logistic, and probit, in order to obtain a value E of the evaluation of the person's functional state. - A step of comparing the acquired value of the person's functional status assessment with a tabular assessment value selected from a table for the corresponding treatment trial, the table for the corresponding treatment trial comprising a set of functional status assessment values ​​from 1 to M, a description for each of the corresponding functional status assessment values, and standard recommendations, and identifying the fit of the acquired functional status assessment value to one of the assessment values ​​provided in the table for the corresponding treatment trial, - A step of forming a recommendation for the person based on the functional state description and standard recommendation provided in the table for the identified functional state evaluation value, - A step of monitoring the implementation of the aforementioned recommendations and adjusting the implementation process based on the monitoring data, - The steps of the person to perform the modification of the functional state by following the recommendations formed. Methods that include...

2. The method according to claim 1, wherein the step of monitoring the implementation of the formed recommendation is performed by taking at least one measurement selected from the group consisting of heart rate, palpation, percussion, auscultation, blood pressure, body temperature, blood saturation, blood lactate accumulation level, vital capacity measurement, and minor tests during the implementation of the recommendation, or by recording heart rate recording data or biometric data during the implementation of the recommendation.

3. The method according to claim 1, wherein the therapeutic test comprises at least one exercise selected from the group consisting of physical exercise, functional load testing, respiratory exercise, physiotherapy exercise, and psychoemotional exercise, and / or at least one action selected from the group consisting of drug administration, physiotherapy effects, psychoemotional effects, respiratory effects, or a combination thereof.

4. The method according to claim 1, wherein the description in the table for the functional state evaluation value for each corresponding functional state is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

5. The method according to claim 1, further comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=6, which are provided in the table and include six states.

6. When using the therapeutic tests from a group consisting of physical exercise, functional stress tests, physiotherapy exercises, and psychoemotional exercises, or a combination thereof, the method A step that provides identification of the fit of the acquired person's functional state assessment value to one of the assessment values ​​from 1 to M=6, which comprises six states selected from the group consisting of hazardous overwork, overwork, fatigue, incomplete recovery, complete recovery, and supercompensation, as provided in the table above. The method according to claim 3, including the method described in claim 3.

7. When using respiratory exercises, the method described above is A step that provides identification of the fit of the acquired person's functional state rating to one of the ratings from 1 to M=6, which are provided in the table above and comprise six states selected from the group consisting of pathological state, gas exchange system overwork, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and super recovery. The method according to claim 3, including the method described in claim 3.

8. The method according to claim 1, comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=5, provided in the table above, comprising five states.

9. When using the aforementioned therapeutic trials from a group consisting of drug administration, physiotherapy effects, psycho-emotional effects, respiratory effects, or a combination thereof, the method A step that provides identification of the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=5, which are provided in the table above and comprise five states selected from a group consisting of desirable improvement, undesirable improvement, desirable deterioration, undesirable deterioration, and an unchanged state. The method according to claim 3, including the method described in claim 3.

10. The method according to claim 1, comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=4, provided in the table above, comprising four states.

11. The method according to claim 3, comprising the step of identifying the fit of the acquired functional state assessment value of a person to one of the assessment values ​​from 1 to M=4, comprising four states selected from the group consisting of overwork, fatigue, recovery, and supercompensation, as provided in the table above.

12. The method according to claim 1, further comprising the step of obtaining a functional status evaluation value of a person within the range of 0 to M=10.

13. The method according to claim 12, wherein the value 0 corresponds to the person's worst functional state, and the value 10 corresponds to the person's best functional state.

14. A method for evaluating and correcting a person's functional state, - A step of recording at least three electrocardiograms (ECGs) of at least the first lead, wherein a first ECG1 is recorded first, and after the person completes the treatment trial, a second ECG2 is recorded, and after the person completes the second and subsequent treatment trials respectively, a third ECG3 and subsequent ECGs are recorded. - A step of selecting at least one pair of recorded electrocardiograms ECGi and ECGj, wherein the indices i and j are selected from the range of 1 to N, where N is the number of recorded ECGs and i ≠ j. - A step of calculating the corresponding sets of heart rate variability (HRV) parameters Vi and Vj for each ECG from the selected pair of ECGi and ECGj, - A step of calculating the difference Δij between each calculated pair of the sets of HRV parameters Vi and Vj, - A step of forming a group of parameters Gij for each calculated pair of the sets of HRV parameters Vi and Vj, consisting of the set of HRV parameters Vi, the set of HRV parameters Vj, and the calculated difference between them Δij, - A step of processing each of the formed groups Gij of parameters in a unit for evaluating the functional state of the person using a mathematical model, wherein the mathematical model is selected from a group consisting of a decision tree, a neural network, and one of three regressions: linear, logistic, and probit, in order to obtain a value Eij of the functional state evaluation of the person for each formed group Gij of parameters. - A step of comparing each acquired functional status rating Eij of the corresponding selected pair of recorded ECGi and ECGj with a tabular rating selected from a table for the corresponding treatment trial, wherein the table for the corresponding treatment trial comprises a set of functional status ratings from 1 to M, a description for each of the corresponding functional status ratings, and standard recommendations, and identifying the fit of the acquired functional status rating Eij to one of the ratings provided in the table for the corresponding treatment trial. - A step of forming a recommendation for the person based on the functional state description and standard recommendation provided in the table for the identified functional state evaluation values ​​for all pairs of recorded ECGs, - A step of monitoring the implementation of the aforementioned recommendations and adjusting the implementation process based on the monitoring data, - The steps of the person to perform the modification of the functional state by following the recommendations formed. Methods that include...

15. The method according to claim 14, wherein the step of monitoring the implementation of the formed recommendation is performed by taking at least one measurement selected from the group consisting of heart rate, palpation, percussion, auscultation, blood pressure, body temperature, blood saturation, blood lactate accumulation level, vital capacity measurement, and minor tests during the implementation of the recommendation, or by recording heart rate recording data or biometric data during the implementation of the recommendation.

16. The method according to claim 14, wherein the therapeutic test comprises at least one exercise selected from the group consisting of physical exercise, functional load testing, respiratory exercise, physiotherapy exercise, and psychoemotional exercise, and / or at least one action selected from the group consisting of drug administration, physiotherapy effect, psychoemotional effect, respiratory effect, or a combination thereof.

17. The method according to claim 14, wherein the description in the table for the functional state evaluation value for each corresponding functional state is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

18. The method of claim 14, further comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=6, which are provided in the table and include six states.

19. When using the therapeutic tests from a group consisting of physical exercise, functional stress tests, physiotherapy exercises, and psychoemotional exercises, or a combination thereof, the method A step that provides identification of the fit of the acquired person's functional state assessment value to one of the assessment values ​​from 1 to M=6, which comprises six states selected from the group consisting of hazardous overwork, overwork, fatigue, incomplete recovery, complete recovery, and supercompensation, as provided in the table above. The method according to claim 16, including the method described in claim 16.

20. When using respiratory exercises, the method described above is A step that provides identification of the fit of the acquired person's functional state rating to one of the ratings from 1 to M=6, which are provided in the table above and comprise six states selected from the group consisting of pathological state, gas exchange system overwork, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and super recovery. The method according to claim 16, including the method described in claim 16.

21. The method of claim 14, comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=5, provided in the table above, comprising five states.

22. When using the aforementioned therapeutic trials from a group consisting of drug administration, physiotherapy effects, psycho-emotional effects, respiratory effects, or a combination thereof, the method A step that provides identification of the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=5, which are provided in the table above and comprise five states selected from a group consisting of desirable improvement, undesirable improvement, desirable deterioration, undesirable deterioration, and an unchanged state. The method according to claim 16, including the method described in claim 16.

23. The method of claim 14, comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=4, which are provided in the table above and have four states.

24. The method according to claim 16, comprising the step of identifying the fit of the acquired functional state assessment value of a person to one of the assessment values ​​from 1 to M=4, comprising four states selected from the group consisting of overwork, fatigue, recovery, and supercompensation, as provided in the table above.

25. The method according to claim 14, further comprising the step of obtaining a functional status evaluation value of a person within the range of 0 to M=10.

26. The method according to claim 25, wherein the value 0 corresponds to the person's worst functional state, and the value 10 corresponds to the person's best functional state.

27. - A step of recording at least two electrocardiograms (ECGs) of at least the first lead, calculating the corresponding heart rate variability (HRV) parameters, calculating the difference Δ between the HRV parameters, forming and processing a group G of parameters, obtaining a functional status rating E of the person before the recommendation is implemented, and then forming and implementing a recommendation by performing the steps of the method according to claim 14, - A step of recording at least one additional ECG, wherein a treatment trial is performed by the person between each consecutive pair of additional ECGs, - The steps include processing the additional ECG and obtaining a functional status assessment value of the person after the recommendation has been implemented, - A step of obtaining the quality evaluation value for the implementation of the recommendation by comparing the value obtained before the recommendation and the value after the implementation of the recommendation with the value provided in a table of quality evaluation values, wherein the table of quality evaluation values ​​comprises the evaluation value before the recommendation is implemented, the evaluation value after the recommendation is implemented, and the corresponding quality evaluation value for the implementation of the recommendation. The method of claim 14, further comprising the step of obtaining a quality evaluation value for the implementation of the formed recommendation by performing the following.

28. - A step of identifying the conformity of the acquired quality evaluation values ​​to the table description of the quality evaluation values, wherein the table description of the quality evaluation values ​​comprises quality evaluation values ​​from 1 to Q and a corresponding description for each evaluation value. The method according to claim 27, further comprising:

29. The method according to claim 28, wherein the description in the table description of the quality evaluation value is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

30. A method for evaluating and correcting a person's functional state, - A step of recording at least two electrocardiograms (ECGs) of at least the first lead, wherein a first ECG1 is recorded first, and after the person completes the treatment trial, a second ECG2 is recorded, and after the person completes the subsequent treatment trial, each subsequent ECG is recorded. - A step of selecting at least one pair of recorded electrocardiograms ECGi and ECGj, wherein the indices i and j are selected from the range of 1 to N, where N is the number of recorded ECGs and i ≠ j. - A step of performing a Fourier transform on each ECG from the selected at least one pair of ECGi and ECGj to obtain a Fourier amplitude spectrum for each recorded ECG, discretizing each obtained Fourier amplitude spectrum to obtain a discrete form (DFECG) of the Fourier amplitude spectrum for each ECG from the selected at least one pair of ECGi and ECGj, - A step of calculating the difference ΔDFECGij between the discrete DFECGi and DFECGj of the Fourier amplitude spectra for each selected pair of ECGi and ECGj, - A step of forming a group of parameters Gij for each selected pair of the sets of HRV parameters Vi and Vj, consisting of the set of HRV parameters Vi, the set of HRV parameters Vj, and the calculated difference between them ΔDFECGij, - A step of processing the formed group Gij of parameters in a unit for evaluating the functional state of the person using a mathematical model, wherein the mathematical model is selected from a group consisting of a decision tree, a neural network, and one of three regressions: linear, logistic, and probit, in order to obtain the functional state evaluation value Eij of the person for each formed group Gij. - A step of comparing each acquired functional status rating Eij of the corresponding selected pair of recorded ECGi and ECGj with a tabular rating selected from a table for the corresponding treatment trial, wherein the table for the corresponding treatment trial comprises a set of functional status ratings from 1 to M, a description for each of the corresponding functional status ratings, and standard recommendations, and identifying the fit of the acquired functional status rating Eij to one of the ratings provided in the table for the corresponding treatment trial. - A step of forming a recommendation for the person based on the functional state description and standard recommendation provided in the table for the identified functional state evaluation values ​​for all selected pairs of recorded ECGs, - A step of monitoring the implementation of the aforementioned recommendations and adjusting the implementation process based on the monitoring data, - The steps of the person to perform the modification of the functional state by following the recommendations formed. Methods that include...

31. The method according to claim 30, wherein the step of monitoring the implementation of the formed recommendation is performed by taking at least one measurement selected from the group consisting of heart rate, palpation, percussion, auscultation, blood pressure, body temperature, blood saturation, blood lactate accumulation level, vital capacity measurement, and minor tests during the implementation of the recommendation, or by recording heart rate recording data or biometric data during the implementation of the recommendation.

32. The method according to claim 30, wherein the therapeutic test comprises at least one exercise selected from the group consisting of physical exercise, functional load testing, respiratory exercise, physiotherapy exercise, and psychoemotional exercise, and / or at least one action selected from the group consisting of drug administration, physiotherapy effect, psychoemotional effect, respiratory effect, or a combination thereof.

33. The method according to claim 30, wherein the description in the table for the functional state evaluation value for each corresponding functional state is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

34. The method according to claim 30, further comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=6, which are provided in the table and include six states.

35. When using the therapeutic tests from a group consisting of physical exercise, functional stress tests, physiotherapy exercises, and psychoemotional exercises, or a combination thereof, the method A step that provides identification of the fit of the acquired person's functional state assessment value to one of the assessment values ​​from 1 to M=6, which comprises six states selected from the group consisting of hazardous overwork, overwork, fatigue, incomplete recovery, complete recovery, and supercompensation, as provided in the table above. The method according to claim 32, including the method described in claim 32.

36. When using respiratory exercises, the method described above is A step that provides identification of the fit of the acquired person's functional state rating to one of the ratings from 1 to M=6, which are provided in the table above and comprise six states selected from the group consisting of pathological state, gas exchange system overwork, insufficient gas exchange compensation, moderate gas exchange compensation, good gas exchange compensation, and super recovery. The method according to claim 32, including the method described in claim 32.

37. The method according to claim 30, comprising the step of identifying the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=5, provided in the table above, comprising five states.

38. When using the aforementioned therapeutic trials from a group consisting of drug administration, physiotherapy effects, psycho-emotional effects, respiratory effects, or a combination thereof, the method A step that provides identification of the fit of the acquired person's functional state evaluation value to one of the evaluation values ​​from 1 to M=5, which are provided in the table above and comprise five states selected from a group consisting of desirable improvement, undesirable improvement, desirable deterioration, undesirable deterioration, and an unchanged state. The method according to claim 32, including the method described in claim 32.

39. The method according to claim 30, comprising the step of identifying the fit of the acquired functional state evaluation value of a person to one of the evaluation values ​​from 1 to M=4, which are provided in the table and comprise four states.

40. The method according to claim 32, comprising the step of identifying the fit of the acquired functional state assessment value of a person to one of the assessment values ​​from 1 to M=4, comprising four states selected from the group consisting of overwork, fatigue, recovery, and supercompensation, as provided in the table above.

41. The method according to claim 30, further comprising the step of obtaining a functional status evaluation value of a person within the range of 0 to M=10.

42. The method according to claim 41, wherein the value 0 corresponds to the person's worst functional state, and the value 10 corresponds to the person's best functional state.

43. - A step of recording at least two electrocardiograms (ECGs) of at least the first lead, performing a Fourier transform on each ECG, discretizing each acquired Fourier amplitude spectrum to obtain a discrete form (DFECG) of the Fourier amplitude spectrum for each ECG, calculating the difference Δ between the acquired DFECGs, forming and processing a group G of parameters, and obtaining a functional status assessment value E of the person before implementing the recommendation, - The steps of forming and implementing a recommendation by carrying out the steps of the method according to claim 14, - A step of recording at least one additional ECG, wherein a treatment trial is performed by the person between each consecutive pair of additional ECGs, - The steps include processing the additional ECG and obtaining a functional status assessment value of the person after the recommendation has been implemented, - A step of obtaining a quality evaluation value for the implementation of a recommendation by comparing the functional status evaluation value of the person obtained before the recommendation was made and the value after the recommendation was implemented with the value provided in a table of quality evaluation values, wherein the table of quality evaluation values ​​comprises the evaluation value before the recommendation was implemented, the evaluation value after the recommendation was implemented, and the corresponding quality evaluation value for the implementation of the recommendation. The method according to claim 30, further comprising the step of obtaining a quality evaluation value for the implementation of the formed recommendation by performing the following.

44. - A step of identifying the conformity of the acquired quality evaluation values ​​to the implementation of the recommendation with the table description of the quality evaluation values, wherein the table description of the quality evaluation values ​​comprises a set of evaluation values ​​from 1 to Q and a corresponding description for each evaluation value of the corresponding quality of the implementation of the recommendation. The method according to claim 43, further comprising:

45. The method according to claim 44, wherein the description in the table description of the quality evaluation value is selected from a group consisting of text descriptions, videos, images, video instructions, diagrams, animations, or a combination thereof.

46. A system for evaluating and correcting a person's functional state values, A test scenario control unit connected to an electrocardiograph configured to record a series of electrocardiograms (ECGs) of at least the first lead before and after the person performs at least one therapeutic test, and subsequently connected to an ECG storage unit connected to the electrocardiograph, Connected in series, A unit connected to the ECG storage unit for calculating a set of characteristic parameters for each of the recorded ECGs, A unit for calculating the difference Δ between pairs of sets of characteristic parameters and for forming groups of parameters, wherein the group consists of two sets of characteristic parameters and the calculated difference Δ, A unit for evaluating a person's functional state values, configured to process the formed group of parameters and obtain a person's functional state evaluation value by using a mathematical model selected from a group consisting of decision trees, neural networks, and one of three regressions: linear, logistic, and probit. A unit for selecting a functional status description and standard recommendation from a built-in table for a corresponding treatment trial, and for forming a standard recommendation based on the acquired evaluation values, wherein the table comprises a set of functional status evaluation values ​​from 1 to M, and the corresponding functional status description and standard recommendation for each evaluation value. A unit for forming and storing recommendations, A unit for accumulating monitoring data, configured to accumulate the results of monitoring the implementation of the formed recommendations and to further detect deviations from the implementation of the recommendations, A unit for forming guidance for modifying the implementation of formed recommendations for correcting the functional state of the person said A system equipped with these features.

47. The system according to claim 46, further comprising a unit for inputting monitoring data, which is connected to the unit for accumulating monitoring data.

48. The system according to claim 46, further comprising a unit for updating formed recommendations, which is connected to the unit for forming and storing recommendations.

49. The system according to claim 46, wherein the unit for calculating a set of characteristic parameters for each of the recorded ECGs is configured to calculate a set of heart rate variability parameters.

50. The system according to claim 49, wherein the heart rate recorder is configured to determine the moment of cardiac contraction.

51. The system according to claim 46, wherein the unit for calculating a set of characteristic parameters is configured to determine the moment of cardiac contraction.

52. The system according to claim 46, wherein the unit for calculating a set of characteristic parameters is configured to calculate a discretized ECG (DFECG).

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