Method for diagnosing stress

FIELD: medicine.

SUBSTANCE: invention refers to medicine, namely to diagnostics and physiology. The RR intervals are recorded, and the derived sequence is processed. The RR sequence length is specified not less than 300 sec. That is followed by dividing the RR sequence into data windows A1…An of the length of 75 sec≤A≤300 sec at a window shift pitch B of 1 sec≤B≤10 sec. Further, for each data window: the frequency Fourier transform is used to derive power distribution of the initial window; the derived power distributions are integrated at all frequencies within not less than 0.015-0.6 Hz to produce total power TP of the heart rate variability; low frequency power PLF is calculated by not less than 0.04-0.15 Hz; high frequency power PHF is calculated by not less than 0,15-0.6 Hz; the relation PLF/PHF is calculated; the derived TP sets and PLF/PHF relations are normalised to produce standard values X1…n of the derived TP sets and standard values Y1…n of the PLF/PHF set. That is followed by calculating a synchronism analysis function of each data window f1…n=(sinX1…n-sinY1…n)/|sinX1…n-sinY1…n|. The presence or absence of the stress condition is stated by analysing the derived values f1…n.

EFFECT: method enables providing more reliable diagnosis of the beginning individual's stress condition by analysing the RR interval.

2 ex, 1 dwg

 

The technical field relates to a utility model

The invention relates to medicine, namely to measurements for diagnostic purposes and can be used to assess the functional status of people, for example, performs responsible work and tasks such as air traffic controllers, drivers and pilots of passenger transport modes and other

Due to the fact that stress is a nonspecific systemic staging physiological reaction of the body to injury or the threat of violence (Parin D.B "People and animals in extreme situations: neurochemical mechanisms, evolutionary aspect" Bulletin of national mining University. Series: Psychology. 2008, Volume 2, issue 2, Pp.118-135), the stress state is also gradual. Accordingly, methods of diagnostics of stress should include the definition stage, as this determines the measures that should be taken to eliminate stress at different stages they are different.) There are currently no non-invasive methods of determining the stage of stress. There are invasive methods - chemical analysis of the blood at the level of cortisol, opioids, etc., but these methods are not always applicable, especially they are not suitable for continuous monitoring. Accordingly, the main task is to develop non-invasive methods of diagnosis stages of stress, especially on-line diagnostics n the early stages, namely, the determination of the moment of launch of the stress response.

Prior art

Stress plays a key role in the development of a variety of somatic and neurological diseases. The term "stress" is usually denoted as a strong adverse physical and/or psychogenic outwardly environmental impact, and developing under their influence the physiological state of the voltage source used for the adaptation of man to new environmental conditions. The stress of chronic physiological stress can provoke the manifestation or aggravation of symptoms of the disease, to serve as one of the risk factors or exacerbate the severity of its course. In addition, emotional stress reduces productivity and the quality of human works. Identifying stress will prevent many unwanted accidents associated with the decision of the people of complex technical tasks (management of technical systems, traffic control systems), and to prevent many diseases associated with psychophysiology, including hypertension, strokes, heart attacks, cancer and other

Clinical correlates of chronic emotional stress and are borderline neuropsychic anxiety and depressive disorders, drastically reducing the quality of W is FDI people (Alexander Y.A., 2000 Socio-stress disorder // Browser. the psychiatrist. and the honey. the course of studies., 1992. No. 2. Pp.5-10; Kharitonov SV Psychophysiology of neurosis / SV Kharitonov, VIA the Semka, M. Aksenov, Zh. neurology and psychiatry. S.S. Korsakov. - 1999. No. 6. - P.59-62). Negative impact on health has primarily chronic emotional stress, and this effect is mediated paired with him adverse endocrine, neuromuscular and autonomic changes (pshennikov MG the Phenomenon of stress. Emotional stress and its role in pathology / MG pshennikov // Pathological physiology and experimental therapy. 2000. No. 3. - P.20-25; Podchufarova E.V. Chronic back pain: pathogenesis, diagnosis, treatment / EV Podchufarova // Russian medical journal. 2003. - T. No. 25. - P.32-37; Yakhno, N.N., Parfenov, VA "Private neurology 2006).

For the rapid diagnosis of stress is used a number of verbal scales and questionnaires aimed at determining levels of anxiety and depression. Such questionnaires, such as depression Scale Tsung (Zung Self-Rating Depression Scale), Questionnaire Beck (Beck Questionnaire), the Scale of self-esteem depression Wakefield (Wakefield Self-Assessment Depression Inventory), the Scale of the hospital anxiety and depression (Hospital Anxiety and Depression Scale), Assessment depression scale Hamilton Rating Scale for Depression, the anxiety Scale of spielberger (Spilberger Anxiety Inventory proved to be good when diag is astice level of chronic stress. When used they should be given the text with statements or questions and possible answers, each of which is assessed a certain number of points. The processing results includes the summation of the score of the selected patient responses and interpretation of the data based on the comparison of the amount received to the proposed diagnostic criteria. The advantages of such scales is the speed of investigation and processing of the results. The drawbacks include the evidence for the orientation of the test questions, which often provokes a defensive reaction to the survey in the form of deliberate distortion of responses in cases when a person has a need to look in the eyes of the experimenter in a certain desirable way. Because the possibility of detecting and correcting such distortions in these tests is not provided, the reliability of the results may be low. Secondly, this kind of scale do not allow for the dynamic monitoring of the test because the data at the first examination answers are easy to remember and often plays automatically when you surveys that distorts the results of the second test.

Along with verbal questionnaires to determine the level of stress are also used projective techniques, including the most popular color is the test or the method of elections color M Luscher and its numerous modifications (sobczyk LN. Standardized multivariate method to the study of personality (MMPI) / LN. Sobczyk. SPb., 2004. - 251 S.). Advantages Luscher test serve its attractiveness for patients (bounce from surveys almost never occurs), ease of use, brevity of the study, the relative independence of the results from the level of education, social status, age, intelligence and conscious attitudes of the person. The disadvantages include the possibility of influencing the result of situational and short-term (for example, the nature of the lighting of the room) factors. In addition, convincing evidence of theoretical validity of this test is still not obtained, which casts doubt on the reliability of the results of diagnostics of level of anxiety and the more personal-typological properties of the test. In this regard, these scales do not allow us to observe the dynamics of the emotional state of the person during the shorter, calculated in hours or one day time.

For experimental purposes, to assess the level of stress is the analysis of spatial-temporal parameters of facial expressions, pantomimic, eye movements, voice and intonation. The disadvantage of such studies is the need for strict standardization of the conditions of the study and their trudem is here, that makes them unsuitable for conducting surveys of large groups of people at risk of emotional stress (GE Breslau. Psychocorrection children's aggressiveness. The tutorial. SPb. 2004. 144 C.).

A fundamentally different approach to the recognition of stress includes recording of physiological parameters, servants biological correlates of mental stress, such as heart rate and respiration, blood pressure, tremor and mobility, oculomotor response (Eyetracker), galvanic skin response. These are the standard set of polygraph (Rice KM, Blanchard EB, Purcell M. Biofeedback treatments of generalized anxiety disorder: preliminary results. Biofeedback and Self-Regulation 1993; 18:93-105; Kim M.H. Effects of a visual feedback device for hip adduction on trunk muscles and sitting posture in ... 2005; Schrama, 2009 A wireless portable discrimination recorder for psychophysiology research based on a personal digital assistant. - Behavior research methods, August 2009, vol./is. 41/3(827-32), 1554-351X). Technology wired and wireless printing are actively used to identify stress, emotional status, fatigue, deception and other conditions. Measurements on a standard polygraph have significant drawbacks, such as: the need to limit mobility; the discomfort associated with the mounting of the sensors; bulky equipment; registration and interpretation of data can be performed only by experienced operators and experts. Wireless on igrati Wireless Bluetooth Module for LX5000, Lafayette Conventional Polygraphs, SXT DAHLIA) is much more mobile, however, other limitations they inherited from wired prototypes. The results of the survey on the polygraph depends on the measurement procedure and does not allow you to diagnose functional status in terms of free-riding behavior.

In cardiology practice to monitor the condition of the heart in the home is used Holter monitoring: on the patient's body straps are attached to the connected wires of large electrodes and a device for recording signal within 48 hours. The signal analysis is carried out after monitoring. However, the relationship between blood pressure and the level of stress a person's ambiguous and method for the diagnosis of stress on the basis of ambulatory blood pressure is not developed.

Physiological markers can serve as indicators of the autonomic nervous system, the correlations with the indicators of the emotional state of a person is determined by their overall anatomical and physiological basis is considered to be the functional activity of the limbic-reticular complex of the brain. The most widespread in the diagnosis of the functional state of the autonomic regulation of the received analysis of heart rate variability, carried out the using time domain (statistical and geometric), methods spectral region (parametric and non-parametric methods of calculation of the spectral power density), methods of analysis models of rhythm, methods of nonlinear dynamics (yabluchanskii NI heart rate Variability in a modern clinic / N.I. yabluchanskii, BJ Kantor. - Donetsk: Boden, 1997. - 128 S.; Camm A.J., Fei L. (1995) t op Risk following myocardial infarction: heart rate variability and other risk factors. In: M. Malik, A.J. Camm (Eds.) Heart Rate Variability. Futura, Armonk, pp.369-392). At the moment, the search for markers of stress in the parameters of heart rate variability is limited to data obtained in the stationary laboratory contexts (peace) or when conducting active samples (orthostatic test) (Depression as a risk factor for cardiac events in established coronary heart disease: a review of possible mechanisms / R. Carney et al. // Ann. Behav. Med. 1995. - Vol.17. - P.142-149.; Taylor et al., 2009, 2011 Depression, heart rate related variables and cardiovascular disease - Int. J. Psychophysiol, 78(1),80-88; Paolo Melillo, Member, IEEE, Nicola De Luca, Marcello Bracale, and Leandro Pecchia Classification Tree for Risk Assessment in Patients Suffering From Congestive Heart Failure via Long-Term Heart Rate Variability IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL.17, NO. 3, MAY 2013; NI Shlyk // heart rate Variability theoretical aspects and practical application. - Izhevsk, 2011. - S-369), thus missing the opportunity to identify stress in normal activities without breaking the test from executing the target function. However, significant progress has been made in developing the system telemetric monitoring of heart rate variability and other physiological signals thanks to the collaboration of researchers at California Institute of Technology and Georgia Institute of Technology: network contactless capacitive sensors woven into the fabric of clothing and is a portable monitor that allows you a long time to record the ECG, EEG, heart rate variability under conditions of free-riding behavior (Technology Review, MIT, July 06, 2010). But appear in the present system with Autonomous sensors, do not allow these complexes to be used in full. Requires specialized algorithms and methods which are based on RR-intervals would determine the stress in real time.

A known method for determining emotional stress (patent RF №2073484, IPC A61B 5/02, A61B 5/04, 20.02.1997), including the registration of heart rate, with an additional record respiratory rate and galvanic skin resistance, conduct cross-correlation analysis, calculate the free correlation coefficient of each system, and then determine the power factor of the correlation between the systems, as the magnitude of the value of the square root of the sum of all free correlation coefficients and the values obtained values up to 0.2 diagnose emotional stress.

There is a method of determining the level of stress (patent RF №2147831, IPC A61B 5/02, 27.04.2000), including the measurement of body mass (M, kg), heart rate (f, min-1and pulse arterial pressure (PAD, mm Hg), the calculation of the level of experience is aemula stress (S, srvc. units) according to the formula: S=f·PAD·M1/3×It,

where f is the frequency of heart contractions, min-1;

PAD - pulse, blood pressure, mm Hg;

M body mass, kg;

It is a normalizing factor, which for men and women respectively 0,8244×10-4and 0,9357×10-4,

with values S<1.12 services. units correspond to a normal level of stress at rest, and the values S>1.12 services. units reflect a corresponding increase in stress levels.

The disadvantage of this method is the complexity and low reliability of the diagnosis of the beginning of the stress state of a person.

The invention

The present invention is an improved method of determining the stress.

The technical result is to reduce the complexity and increase the reliability of diagnosing the beginning of the stress state of a person.

This technical result is achieved in that in the method of determining stress, including the registration of the values of R-R intervals of the cardiac rhythm and the processing of the received sequence R-R intervals, the duration of the sequence is chosen not less than 300 seconds, and the processing of data is produced as follows:

break the sequence of R-R intervals on the window A1...Anduration 75 seconds≤And≤300 sec In increments of shear box 1 sec≤In≤10 seconds, the de-n - the number of Windows of data;

next, for each data window:

produce frequency Fourier transform to obtain the values of the power spectrum of the source window,

integrate the obtained power spectra at all frequencies within not less than 0,015-0.6 Hz with obtaining total power TP HRV,

calculate the power in the lower frequency range PLFat least in the range of 0.04 to 0.15 Hz,

calculate the power in the high frequency range PHFat least in the range of 0.15-0.6 Hz,

calculate the ratio of the PLF/PHF;

normalized received sets of values TP and correlations PLF/PHFto obtain standardized values of X1...nthe number of values of TR and standardized values of Y1...nthe number of values of PLF/PHF,

calculate function analysis of correlation for each data window f1...n=(sinX1...n-sinY1...n)/|sinX1...n-sinY1...n|,

make a conclusion about the presence or absence of stress by analyzing the obtained values of f1...nand stress state corresponds to the distribution of values f1...nwhere:

in a time interval of not less than 20 seconds in a row the values of f equal to 1,

then for at least 60 seconds in a row followed by the values of f equal to 1, with possibility of occurrence in time and the interval is not more than three values of f, equal to 1.

Detailed description of the invention.

In Fig. depicts a block diagram of the implementation of the method.

The method is as follows.

First, a registration of the values of R-R intervals of the cardiac rhythm for at least 300 seconds.

Check values to produce, for example, attached to the person's personal wireless sensor 1 self-powered wireless module and Bluetooth. Next, the resulting data are transmitted in real time over a wireless communication channel, for example, a personal mobile communication device 2. Using personal mobile communication device 2, the data transmit, for example, within a single address network such as the Internet, data processing server 3 includes a communication module of the server 4, the memory unit 5, module data processing and analysis 6.

Then in the module processing and analysis of data 6 data processing server 3 processes the received sequence R-R intervals. The module of data processing and analysis 6 consists, for example, from the processing unit data Windows 7, block frequency Fourier transform 8, block, calculate the total power of heart rate variability 9, block calculating the power in the lower frequency range 10, the unit for computing power in the high frequency range 11, divides the La 12, Normalizer 13, block function evaluation analysis of correlation 14, unit of analysis and decision-making 15.

The processing of the received sequence R-R intervals is as follows.

In the shaping unit of data Windows 7 sequence of R-R intervals is divided into a data window A1...Anduration 75 seconds≤And≤300 sec In increments of shear box 1 sec≤In≤10 seconds, where n is the number of Windows of data.

Next, in block frequency Fourier transform 8 for each window of data to produce frequency Fourier transform to obtain the values of the power spectrum of the source window. Then, the computing unit total power of heart rate variability 9 integrate the obtained power spectra at all frequencies within not less than 0,015-0.6 Hz with obtaining total power TP of heart rate variability. The range of 0.015 to 0.6 Hz is a classic range of analysis rhythmogram, it includes frequency ranges corresponding to the different modules of vegetative regulation of heart rhythm. After that, the computing unit of power in the lower frequency range 10 calculates the power PLFin the lower frequency range. At this lower frequency range LF is chosen not less than the range of 0.04 to 0.15 Hz. In the computing unit of power in the high frequency range 11 calculates the power PHFin high range often is. The high frequency range HF choose not less than the range of 0.15-0.6 Hz. Then in the divider 12 calculates the ratio of the PLF/PHF.

In the Normalizer 13 normalized received for each window of data sets of values TP1...nand (PLF/PHF)1...nreceiving, respectively, the standardized values of X1...nand Y1...n. The regulation sets of values is carried out, for example, by the formulas: (TP1...n-z)/σ and ((PLF/PHF)1...n-z)/σ, where z is the average values, respectively TP1...nand (PLF/PHF)1...naround the block data, σ is the standard deviation, respectively, of the values TP1...nand (PLF/PHF)1...nfor all Windows data in shared data block.

Then in block function evaluation analysis of correlation 14 calculates a function of the analysis of correlation for each data window according to the formula:

f1...n=(sinX1...n-sinY1...n)/|sinX1...n-sinY1...n|,

After that, the unit of analysis and decision 15 determines the presence or absence of stress by analyzing the obtained values of f1...n. This stress corresponds to the distribution of values f1...nwhere:

in a time interval of not less than 20 seconds in a row the values of f equal to 1, then for at least 60 seconds in a row followed by the values of f -1 with prob is the possibility of occurrence in this time interval is not more than three values of f, equal to 1. Data about the current state of man after sequence analysis of R-R intervals his heart rhythm is directed to the display device information 6. The data may be presented on the display device information 16 in any visual perception of form and stored on the data processing server 3, for example in the memory unit 5.

After analysis of all n Windows data sequence R-R intervals are processing the following sequence of R-R intervals obtained with a shift value from 1 to 10 seconds.

While experimentally it was shown that beyond set limits when creating data Windows 75 sec≤And≤300 sec, as well as establishing time shift beyond 1 sec≤In≤10 seconds as the definition of stress is sharply reduced. Also was shown experimentally specified in this method is the preferred choice of the boundaries of the lower frequency range LF and high frequency range HF.

Most experimental work, the inventors conducted to determine the criteria for determining the stress state. Conducting more than 100 experiments with different populations in different conditions showed that the beginning of a stress state corresponds to the above distribution of values of the function f.

Example 1.

Before the experiment the IP is Tuamotu person on the body of the secured zone, in which sewn two electrodes and sensor ZephyrHxM self-powered wireless module and Bluetooth for measuring R-R intervals by Zephyr technology". Belt size set such that the person be comfortable while its movement does not affect the position of the belt. First subject for 600 sec was in a state of rest, then he moved in gas-smoke chamber, and there was 1500 sec. Using the sensor during these 2100 sec made the registration of the values of R-R intervals of the cardiac rhythm. Next, the data from the sensor in real time and wirelessly transmitted to the smartphone LG Optimus L3 E400, who was a participant.

Using the smartphone, the received data is transmitted to reside in a single address of the Internet server data processing, including the communication module of the server module of the data processing and analysis and the display device.

Then in the module of the data processing and analysis the data processing server has processed a received sequence R-R intervals. The module of data processing and analysis includes forming unit Windows data block frequency Fourier transform, the computing unit total power of heart rate variability, the evaluation unit of power in the lower frequency range, the computing unit powerfully the ti in the high frequency range, divider, Normalizer, the block function evaluation analysis of correlation, the unit of analysis and decision making.

The processing of the received sequence R-R intervals was carried out as follows.

In block formation Windows data sequence R-R intervals were divided into the data window duration 100 seconds in increments of shear box 10 sec.

Next, in block frequency Fourier transform for each window of data produced frequency Fourier transform to obtain the values of the power spectrum of the source window. Then, the computing unit total power TP HRV has prointegrirowany obtained power spectra at all frequencies in the range of 0.015 to 0.6 Hz with obtaining total power TP of heart rate variability. After that, the computing unit of power in the lower frequency range of the calculated power PLFin the lower frequency range. At this lower frequency range LF was chosen in the range of 0.04 to 0.15 Hz. In the computing unit of power in the high frequency range was calculated power PHFin the high frequency range. The high frequency range HF was chosen in the range of 0.15 to 0.6 Hz. Then the divisor calculated the ratio of PLF/PHF.

In the Normalizer pronominal obtained for each window of data sets of values TP1...nand (PLF/PHF)1...nobtaining appropriate estwenno standardized values of X 1...nand Y1...n.

Then in block function evaluation analysis of correlation was calculated function analysis of correlation for each data window according to the formula:

f1...n=(sinX1...n-sinY1...n)/|sinX1...n-sinY1...n|

After that, the unit of analysis and decision-defined transition in stress. The value of the function f within the first 10 min of the test was changed from "1" to "-1" without any pattern. At the moment of sunset tested in the camera the distribution of values of the function f was as follows: for 330 seconds the value of the function f were equal to "1" (23 values), and then within 146,46 s is equal to "-1" (14 values). A person in a stressful condition corresponds to this point of change of the function f. On the display device information from the unit of analysis and decision shall be sent information about graphic alarm about the transition of the test in stress with time such a transition. Then, the values of f again often to change from "1" to without any pattern.

Example 2.

Before the experiment the bus driver on the body secured zone in which the inserted two electrodes and sensor ZephyrHxM. The driver went in flight. Using a sensor for 2400 seconds made the registration of the values of R-R intervals of the cardiac rhythm. Next, the data from d is tcheka in real-time wirelessly transmitted to the smartphone PHILIPS W626, who was the test.

Using the smartphone, the received data is passed on in the control room in a single address of the Internet server data processing, including the communication module of the server module of the data processing and analysis and the display device.

The processing of the received sequence R-R intervals was carried out as described in example 1 by the way. Duration Windows data selected in 100 seconds with a step of shifting a window of 10 sec.

After 600 s trip of f values for 420 sec established the same is "1", then at 420 sec - "-1". On the device information is displayed in the control display the signal that the bus driver turned into a stressful condition indicating the time of this transition. This moment is the start time of the sequence of values of f equal to "1". In establishing a communication session with the driver revealed that at this point the car is moving near parallel course, made a sudden maneuver, changing into the lane in front of the bus, i.e. "cut" the bus. The bus driver was forced to make an emergency braking. While some of the passengers could not resist and fell. The transition in the stress state of a driver contributed to the negative reaction of the passengers on the incident, as most of them did not know the real cause of sudden braking and accused the bus driver of incompetence.

Thus the proposed method of determining the stress state of a person less difficult to implement due to the fact that it is based only on the analysis of R-R intervals of the cardiac rhythm. Also experiments have shown a significant increase in the accuracy of early diagnosis of stress, compared with existing methods and their underlying devices.

The proposed method may be implemented using devices forming a system of remote monitoring and analysis of the stress state of a person. For specialists can be obvious and other constructive ways of implementing the invention, without changing its essence.

The method of definition of stress, including the registration of the values of R-R intervals of the cardiac rhythm and the processing of the received sequence R-R intervals, and the duration of the sequence is chosen not less than 300 seconds, and the processing of data is produced as follows:
break the sequence of R-R intervals in the data window A1...Anduration 75 seconds≤And≤300 s step B shift window 1 sec≤B≤10 sec, where n is the number of data Windows;
next, for each window of data:
produce frequency Fourier transform to obtain the values of the power spectrum of the source window,
integrate the spectra powerfully the tee on all frequencies within not less than 0,015-0.6 Hz with obtaining total power TP HRV,
calculate the power in the lower frequency range PLFat least in the range of 0.04 to 0.15 Hz,
calculate the power in the high frequency range PHFat least in the range of 0.15-0.6 Hz,
calculate the ratio of the PLF/PHF;
normalized received sets of values TP and correlations PLF/PHFto obtain standardized values of X1...nthe number of values of TR and standardized values of Y1...nthe number of values of PLF/PHF,
calculate function analysis of correlation for each window of data
f1...n=(sinX1...n-sinY1...n)/|sinX1...n-sinY1...n|,
make a conclusion about the presence or absence of stress by analyzing the obtained values of f1...nand stress state corresponds to the distribution of values f1...nwhere:
in a time interval of not less than 20 seconds in a row the values of f equal to 1,
then for at least 60 seconds in a row followed by the f-values of -1, with the possibility of in this time interval is not more than three values of f equal to 1.



 

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6 ex

FIELD: medicine.

SUBSTANCE: according to one version, the method involves studying the heart rate variability and a motion state, dietary nutrition, baths with mineral water, mineral water intake, physiotherapeutic procedures. The dietary regimen is specified taking into account the measured immunoglobulin IgG values to detect food intolerance and elimination thereof from the nutrition. Low-salt sulphate calcium-magnesium-sodium mineral water is taken. The baths are taken with mineral water from a water-bearing formation of Middle Devonian at a depth of 1100-1278 m by using mineral water representing a salt brine of Devonian Sea M 240-260 g/dm3 of sodium-chloride composition Cl>95, Na++K+>80 mg-eq.%, with an acid reaction of the medium, at pH 4.7-5.5. According to the other version, the method additionally contains massage sessions and acupuncture taking into account the patient's heart rate variability.

EFFECT: group of inventions provides more effective health improvement by taking into account individual food intolerance and the patient's autonomic nervous system features.

2 cl, 3 ex

FIELD: medicine.

SUBSTANCE: continuous electric cardiac signal (ECS) is filtered and presented in the form of discrete readouts. Then it is smoothed by amplitude averaging of adjacent readouts of the electric cardiac signal. That is followed by isolating R-R interval and a cardiac cycle, limiting a search area of the beginning of the ventricular repolarisation to the left and right in relation to R wave, specifying two numbers of the ECS readouts X1={xa÷xb} and X2={xc÷xd}in the search area, calculating arithmetical mean amplitudes M1 and M2 of the readouts from the numbers X1 and X2, calculating an absolute difference of mean ECS amplitudes D=|M1-M2|, and unless D gets more than the ECS limit, calculating M1, M2 and D is repeated for the numbers X1 and X2 displaced one element to the right until reaching the right limit of the search area, isolating the readout Jj,i=xa in each j-th deflection for which D falls below the ECS limit. Thereafter the latest Jj,i value is determined; the determined value represents the beginning of ventricular repolarisation in the i-th cardiocycle.

EFFECT: method provides higher reliability of isolating R-wave and stating the beginning of ventricular repolarisation.

13 dwg

FIELD: medicine.

SUBSTANCE: auricular extrasystole recorded in the patient is analysed by calculating a relative coupling interval (RCI). The value is calculated by dividing a cardiac contraction interval immediately preceding the auricular extrasystole by the coupling interval. The derived RCI is assessed. If the value exceeds the value of 1.7, a high risk of developing paroxysmal atrial fibrillation is diagnosed in the patient.

EFFECT: method enables predicting a high probability of developing paroxysmal atrial fibrillation within the next hour.

2 ex, 2 dwg, 3 tbl

FIELD: medicine.

SUBSTANCE: invention refers to medicine, particularly cardiology. A 24-hour electrocardiogram is recorded in a post-myocardial infarction patient s. A standard mean deviation of RR intervals is evaluated and low and high frequency waves and QT interval variability are related. An echocardiography is recorded to evaluate an ejection fraction. The clinical findings are used to predict severity of arrhythmia syndrome.

EFFECT: method enables determining severity of arrhythmia syndrome more accurately without any load tests thereby reducing a health risk.

2 ex

FIELD: medicine.

SUBSTANCE: invention relates to field of medicine, namely to methods of functional diagnostics in cardiology. Stress-echocardiographic examination with application of transesophageal electrical stimulation of atria is carried out. Electric stimulation is carried out with step-by-step change of HR value in continuous mode. Stimulation starts from rate which is 20 beats lower than submaximal HR, with further increase of rhythm frequency by 10 p./min at each following minute until submaximal HR is achieved. After that electric stimulation continues at maximal HR within time period up to 3 minutes, when echocardiographic criteria of stress-induced ischemia of myocardium appear, electric stimulation is stopped.

EFFECT: invention makes it possible to increase diagnostic significance of the method in a reliable way with reduction of examination time.

2 cl, 1 ex, 2 tbl, 1 dwg

FIELD: medicine.

SUBSTANCE: method involves carrying out pulsating Doppler echocardiographic examination. Mean pressure is determined in pulmonary artery. Mean pressure in pulmonary artery being less than 13 mm of mercury column, no cardiac rhythm disorders risk is considered to take place. The value being greater than 13 mm of mercury column, complex cardiac rhythm disorder occurrence risk is considered to be the case.

EFFECT: accelerated noninvasive method.

1 tbl

FIELD: medicine; medical engineering.

SUBSTANCE: method involves selecting reference point in every cardiac cycle on TP-segment. Values of neighboring N=2n+1 reference points also belonging to TP-segment are recorded, n=1,2,…, beginning from the first reference point. Other reference points are set to zero. The central reference point value is left without changes in a group of 2n+1 member. Reference point values of each of n pairs of reference points symmetrically arranged relative to the central reference point are scaled relative to condition Uj=U0Kj, where U0 is the central reference point amplitude, Uj is amplitude of j-th reference point pair, j=1,2,…,n is the number of each reference point pair relative to the central reference point, Kj is the scaling coefficients determined from received signal suppression condition of the first n spectral zones in spectrum. The so formed electrocardiogram signal reference point groups sequence is let pass through lower frequency filter with isoline drift signal being obtained being produced on output. The signal is amplified and subtracted from the initial electrocardiogram signal that is preliminarily delayed for lower frequency filter delay time. Device has the first lower frequency filter, discretization unit and unit for selecting anchor reference points connected in series, as well as subtraction unit, unit for saving N reference points, scaling unit, the second lower frequency filter, amplifier and delay unit. Output of the unit for selecting anchor reference points is connected to the first input of memory unit the second input of which is connected to discretization unit output. Each of N memory unit outputs is connected to one of N inputs of scaling units. Scaling unit output is connected to the second lower frequency filter input which output is connected to amplifier input. Amplifier output is connected to the first input of subtraction unit, the second output of subtraction unit is connected to delay unit output. Its input is connected to output of the first lower frequency filter. Subtraction unit output is the device output.

EFFECT: reliable removal of isoline drift.

2 cl, 8 dwg

FIELD: medicine; cardiology.

SUBSTANCE: device has amplifier, analog-to-digital converter provided with multiplexer, arithmetic unit, memory unit, digital modem, increment code analyzer, increment codes number counter, switching unit and control unit as well as second memory unit, digital filtration unit and decimation unit. Electrocardiogram signal is registered within frequency-time area. Increase in volume of diagnostic data is provided due to time localization of spectral components of electrocardiogram signal.

EFFECT: widened operational capabilities; improved precision of diagnosing; higher efficiency of treatment.

6 dwg

FIELD: medicine; radio electronics.

SUBSTANCE: device for taking cardiogram has set of electrodes, cardiologic unit, analog-to-digital converter, cardio signal preliminary treatment unit, computer, lower frequency filter, differentiator, functional converter and controlled filter. Power function calculation units are not included. Preliminary continuous filtering of cardio signal entering the computer is provided.

EFFECT: simplified design; improved precision of measurement.

1 dwg

FIELD: medical engineering.

SUBSTANCE: device has electrodes, input amplifier, unit for protecting against error influence when applying medical electric instruments, low frequency filter, signal analysis unit, unit for eliminating isoline drift and electric power supply units.

EFFECT: high accuracy in plotting rhythmograms; improved instruments manipulation safety.

1 dwg

FIELD: medicine.

SUBSTANCE: method involves modeling real three-dimensional patient heart image based on electrocardiogram and photoroentgenogram data and determining basic functional values of its myohemodynamics.

EFFECT: high accuracy and reliability of the method.

2 cl, 5 dwg

FIELD: medicine.

SUBSTANCE: method involves recording cardiac biopotentials with vector electrocardiograph, processing and visualizing signal with graphical plane integral cardiac electric vector projections (vector electrocardiograms) being built and analyzed. Shape, QRS-loop value and vector orientation-recording process are determined. Analysis is based on planar vector electrocardiograms in horizontal, frontal and sagittal planes and in spatial 3-D-form. Vector loop direction is studied in X-,Y-,Z-axis projections, values, dynamics and localization are evaluated in resulting integral cardiac electric vector delta-vector space. To do it, QRS-loop is divided into four segments, one of which characterizes excitation in middle part of axial partition surface, the second one is related to excitation in lower ventricular septum one-third with cardiac apex being involved and the third and the fourth one is related to excitation in basal parts of the left and right heart ventricles. Delta-vector existence and its magnitude are determined from changes in loop segment localization when compared to reference values.

EFFECT: improved data quality usable in planning surgical treatment.

4 dwg

FIELD: medical radio electronics.

SUBSTANCE: device can be used for testing cardio-vascular system of patient. Differential vector-cardiograph has high frequency oscillator, common electrode, unit for reading electrocardiogram and radio cardiogram provided with amplification channels and filtration channels, multiplexer, microprocessor unit with common bus, analog-to-digital converter, keyboard, mouse and indication unit. Device provides higher precision of measurements due to usage of electric component heart activity and truth of diagnostics due to ability of representation of results of testing in form of variety of vector-cardiograms in real time-scale.

EFFECT: improved precision.

1 dwg

FIELD: medicine, cardiology, arhythmology, functional diagnostics.

SUBSTANCE: one should register electrocardiogram in esophagus, apply an electrode in a site where the maximum signal amplitude is registered, increase the signal 5-fold, not less to be filtered in the range of 0.5-40 Hz to be registered at the rate of 100 mm/sec, not less. The time for intra-atrial process should be measured from the beginning of ascending part of the first positive wave of pre-P-tooth up to the top of the second adhesion of P-tooth; the time for inter-atrial process should be measured from the site of crossing a descending part of the first positive wave and the onset of obliquely ascending pre-P-interval up to crossing this interval with the point of abrupt increase of the first phase of P-tooth. The innovation provides more means for noninvasive evaluation of intra- and inter-atrial stimulation process.

EFFECT: higher accuracy of evaluation.

3 dwg

FIELD: medicine, cardiology.

SUBSTANCE: one should register a standard electrocardiogram (ECG) and measure the duration of a "P"-wave. Moreover, it is necessary to conduct daily ECG monitoring to calculate single, paired and group atrial extrasystoles. Then one should calculate diagnostic coefficient DC by the following formula: DC=DC1+DC2+DC3+DC4, DC1 =-8.8 at duration of "P"-wave below 106 msec, 9.3 at duration of "P"-wave above 116 msec, -3.5 at duration of "P"-wave ranged 106-116 msec. DC2=-1.9 at the absence of group atrial extrasystoles during a day, 8.3 -at daily quantity of group atrial extrasystoles being above 4, 2.5 - at daily quantity of group atrial extrasystoles ranged 1-4. DC3=-2.9 at daily quantity of paired atrial extrasystoles being below 3, 8.1 - at daily quantity of paired extrasystoles being above 35, -1.4 - at daily quantity of paired atrial extrasystoles ranged 3-35. DC4=-5.1 at daily quantity of single atrial extrasystoles being below 15, 4.3 - at daily quantity of single atrial extrasystoles being above 150, -1.0 - at daily quantity of single atrial extrasystoles ranged 15-150, if DC is above or equal to 13 one should diagnose high risk for the development of paroxysmal atrial fibrillation, in case if DC is below or equal -13 it is possible to diagnose no risk for the development of paroxysmal atrial fibrillation, and if DC is above -13 and below 13 - the diagnosis is not established.

EFFECT: higher sensitivity of diagnostics.

5 ex

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