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Heart rate variability.
Psychophysiological researches.

10.01.2006 [ Russian Version ]

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The heart rate is a chaos and regularity, noise and signal, carriers in itself the information on physiological and psychological states of the person ...
The outcomes of researches of heart rate dynamics in psychophysiological laboratory of Atom Energy Training Center, Novovoronezh, Russia. The head - Mashin V.A.
For the physiologists and psychophysiologists working in the field of the heart rate variability analysis.
Heart rate graph

Mashin V.A. Mental workload, mental strain and operator functional state: Application of heart rate variability analysis. - 2005. In Press. (In Russian)
The connection between mental workload, mental strain and operator functional state concepts was analyzed. The community of mental strain and operator functional state concepts was established. Application of heart rate variability three-factor model for operator functional state investigation was considered. Two main types of operator functional states, which have negative influence upon efficiency and reliability of activities, were chosen: mental overstrain and emotional overexcitation. With position of heart rate variability three-factor model the differences between fatigue and monotonia, anxiety and fear were considered.

Mashin V.A. Analysis of mental workload by three-factor model of heart rate variability. - 2005. In Press. (In Russian)
By three-factor model of heart rate variability (HRV) is explored the functional states dynamics and HRV indexes of 84 healthy subjects under different mental workload levels. The levels of mental workload were assigned tasks of the Shulte-Gorbov test (moderate and high levels). Baseline recording were conducted before test. Statistically significant differences of functional states frequencies for all mental workload levels were found. According to the functional states dynamics under different mental workload levels the two groups were extracted: (1) - with dominance of arousal states (12 subjects), (2) - with dominance of strain states (25 subjects). The comparative analysis of HRV indexes dynamics (time, frequency domains and heart rate graph) was made. High statistically significant differences between groups on every mental workload levels were received. Analysis of HRV indexes for every groups has allowed to define the indexes sensitive to different mental workload levels. The importance of the control of arousal states at analysis of mental workload was underlining. The three-factor model of HRV for distinguishing of monotonia and fatigue was offered.

Mashin V.A. Nonstationarity and R-R segment duration at functional states diagnostics. - 2005. In Press. (In Russian)
Effect of R-R intervals series nonstationarity on functional states diagnostics was analyzed. The functional states were diagnosed by means of factor model of heart rate variability (HRV). Hear rate was recoded during supine position, before important task and recovery periods. High resistance of functional states diagnostics to action of the nonstationarity was found for all periods. The resistant HRV indexes to action of the nonstationarity were defined. Also effect of R-R segment duration on functional states diagnostics was explored. The got results allow concluding that functional states diagnostics on base factor model of HRV can use on shot segments within the range of 256-32 R-R intervals. The indexes of factor model of HRV must be normalized for corresponding R-R segment duration before diagnostics. In additional effect of R?R segment duration on HRV indexes was analyzed for different functional states. The resistant HRV indexes to action of R?R segment duration and necessary conditions for heart rate recording were defined.

Mashin V.A. Analysis of anxiety states by factor model of heart rate variability. - 2005. In Press. (In Russian)
By factor model of heart rate variability (HRV) is explored anxiety states are induced mental stressor in healthy subjects during professional selection of 64 healthy subjects. The functional states dynamics is investigated during baseline, before task (anticipation), mental task (Shulte-Gorbov test) and recovery periods. Factor model of HRV are applied for assessment of the functional states. High frequency of functional states with dominance of emotional excitement was diagnosed during anticipation and recovery periods. The effect of different functional states on efficiency of task performing and the connection of functional states during anticipation and recovery periods with MMPI (Minnesota Multiphasic Personality Inventory) data were confirmed. The comparative analysis of HRV indexes dynamics (time, frequency domains and heart rate graph) for different functional states was made. The complex dynamics of functional states on different periods was underlining.

Mashin V.A., Mashina M.N. The Procedure of the Professional Selection on Operative Job Titles. (On material of the selection of the personnel for NPP.) - "Voprosy Psychologii", 2005, N 3. (In Russian)
The procedure of the professional selection of the candidates on operative job titles for NPP are presented. The procedure comprises the diagnostics of 4 base elements: personality traits, high psychic functions (attention, perception, memory, thinking), psychophysiological processes, command interaction. On each of element the integral estimation is formed, which is used for taking the trained decision on considered candidate. For each element the purposes, the diagnostic tools, the feature of levels of integral estimation, the criterions of the trained decision are brought. The general algorithm of the taking the trained decisions on results of the professional selection is described.

Mashin V.A. Connection of regression slope of heart rate graph with linear and nonlinear dynamics in stationary short-time series. 2005. In Press. (In Russian)
The connection of regression slope of heart rate graph (b1) with linear and nonlinear dynamics in stationary short-time series (256 points) is explored. A new index for estimation nonlinear dynamics in stationary short-time series is based on the correlation dimension was offered. According to outcomes of the research, the dynamics of heart rate in stationary short-time series can be conceived as sum of linear (periodic) and nonlinear (stochastic) processes. The connection of b1 with linear and nonlinear dynamics of heart rate was found. The formulas for calculation of absolute and relative (to amplitude of the fluctuations) noise levels in heart rate dynamics were offered. The comparative analysis of nonlinear dynamics of heart rate in stationary short-time series for different functional states and control breathing was executed. The growing of the relative noise level in heart rate dynamics with increase the control breathing frequency is related as decrease of control breathing amplitude, so increase of noise amplitude. The decrease of the absolute noise level for nervous excitation, fatigue and mental strain were found. The preponderance of nonlinear (stochastic) processes compared with linear (periodic) processes for relaxed state was received.

Mashin V.A. The functional states classification on base of 3-h factorial structure of HRV. Examples of the diagrams. - 15.03.2004. (WinHelp - format).
The given Help-file has 8 examples of functional states diagrams during psychophysiological examinations.

Mashin V.A. Short Help on Program MABP.DBase-HRV v.3.01 - 20.01.2004. (WinHelp - format).
Purpose of the Program MABP.DBase-HRV v.3.01

Mashin V.A., Mashina M.N. Functional states classification and an evaluation of level of stability to mental loads on base factor structure of heart rate variability parameters. - Russian Physiological Journal, V. 90, N 12, 2004. (In Russian)
In the paper, outcomes of the researches devoted to factor analysis of heart rate variability parameters and definition of the most informative parameters for diagnostics of functional states and an evaluation of level of stability to mental loads, are presented. The factor structure of parameters, which include integrated level of heart rate variability (1), balans between activity of vagus and brain cortical-limbic systems(2), integrated level of cardiovascular system functioning (3), is substantiated. Factor analysis outcomes have been used for construction of functional states classification, for their differential diagnostics, and for development and check of algorithm for evaluation of the stability level in mental loads.

Mashin V.A. Analysis of additional indexes of heart rate graph. - 2002. (In Russian)
The additional indexes of heart rate graph (HRG) are presented: sum of squares of least distances from graph nodes before axis ó (SumX2), sum of squares of least distances from graph nodes before axis Y (SumY2), relation SumX2/SumY2. The aims of this article are to (1) describe the new parameters of HRG, (2) analyze correlation of HRV indexes and new HRG parameters in rest state (N=10036), (3) analyze of relationship SumX2/SumY2 with frequency of harmonic fluctuations and frequency a pica with maximum spectral density, (4) analyze HRG new parameters for different functional states (1 - normal state, 2 - neurotic excitement, 3 - functional fatigue, 4 - psychic strain; on 32 men in group), (5) diagnostics the stationarity of process with help of new HRG indexes.

Mashin V.A., Mashina M.N. Factor analysis of heart rate graph parameters. (In Russian)
In given article are presented the results of factor analysis of parameters of heart rate graph (HRG) structure. Three main factors are reflecting HRG variability in LF-domain (the level of mental effort), in HF-domain (vagus activity, the level of sinus respiratory arrhythmia) and level of uncertainty (the chaos dynamics) of HRG were chosen. Regression equations for factor values were used for analysis and differential diagnostics of functional states (mental strain, neurotic excitement, fatigue), as well as for estimation of stress-stability level of candidates on operative activity. For estimation of stress-stability level the parameters of efficiency of the test tasks performing were in addition attracted. The results demonstrate the efficiency using the parameters of HRG structure for differential diagnostics of functional states and estimations of the stress-stability level of NPP personnel.

Mashin V.A. Graph analysis: a new method for evaluating heart rate variability. - Human physiology, 2002, V.28, N 4. (In Russian)
The new method for analysis heart rate variability (HRV) based on graph theory are presented. The aims of this article are to (1) visualize the heart rate graph (HRG), (2) describe the basic parameters of HRG, (3) analyse of harmonic oscillations, 'white' noise models and heart rate during mental stress (overstrain) and controlled respiration (6 breaths/min) using HRG analysis, (4) compare the HRG of 4 groups (on 10 men; Student test for indepedent samples and Discriminant analysis) with different functional conditionals (1 - norm, 2 - mental strain, 3 - neurotic reactions, 4 - asthenia), (5) investigate the correlation between HRG and spectral analysis parameters (70 men, 256 R-R interval sample, fast Fourier transform; Correlation and Factor analysis). Our findings demonstrate that new method allow evaluate linear and non-linear dynamics of heart rate and classify different functional conditionals. The results of our studies support that in additional to standard linear measures of HRV, the use of HRG analysis may give new insights into heart rate dynamics. Key words: heart rate variability, graph theory, non-linear dynamics of heart rate.
(Listings of procedures for calculation of the main parameters of the heart rate graph in Turbo Pascal 6.0.)

Mashin V.A. Microstructural analysis of heart rate variability at simulation of the operator activity. - 2000. (In Russian)
Analysis of heart rate variability (HRV) is a noninvasive method for estimate of cardiac autonomic nervous function. But heart period modulations are very not stable during the simulated operator activity. For decision the problem of 'stationarity' are presented the microstructural analysis of heart rate variability method. On the basis of simulated operator activity and interval tachogram analysis the very short stationarity RR-interval segments (10-30 seconds) are derived. These segments were 'cloning' in 256 data point of RR-intervals and very low- (VLF), low- (LF) and high frequency (HF) components of HRV were calculated by power spectral analysis, by use fast Fourier transform (FFT). The purpose of this article was to demonstrate possibility of the microstructural analysis of heart rate variability method for estimation of simulated operator activity.

Mashin V.A. The dependency of heart rate variability from the RR-intervals average. - Russian Physiological Journal, 2002, V.88, N 7. (In Russian)
The means of spectral analysis the dependency of Heart Rate Variability (HRV) from the RR-intervals average (RRav, sec) is explored at controlled (forced) breathing. According to got results, the dependency of peaks frequency on spectral density graph for source series of RR-intervals from RRav possible to present the following formula: fp1.0 = fp : RRav, where fp1.0 - peak frequency when RRav = 1.0 sec, fp - peak frequency at current RRav. For correcting (the standertizations) of frequency domain borders of spectral power (fd) of source series of RR-intervals comparatively current RRav possible to use the formula: fd = fd1.0*RRav, where fd1.0 - frequency domain border at RRav = 1.0 sec. The correction (the standertization) of frequency domain borders of spectral power (fd), frequency peaks (fp1.0) of source series of RR-intervals comparatively current RRav allows to compare different series of RR-intervals without use the transformation to the discrete event series (DES).

Mashin V.A., Mashina M.N. Heart rate variability analysis of negative functional states in the course of psychological relaxation sessions. //Human physiology, 2000, Vol. 26, N 4. (In English)
The aim of this study was to compare the effects of psychological relaxation on the heart rate variability (HRV) in subjects with a number of negative functional states: asthenia, depression, and neurotic symptoms. The performed analysis allowed to reveal the dynamics of the HRV characteristics for each negative functional states and to determine indicators, which are significant for their diagnosis. The effectiveness of using HRV analysis for the control and management of the psychological relaxation process and the diagnosis of a number of negative functional states in humans is substantiated by the study results.

Mashin V.A., Mashina M.N. Heart rate variability as the indicator of a psychological relaxation. //Problems of psychology, 2001, N 1. (In Russian)
The study is dedicated to looking up of objective indexes of efficiency of methods of a psychological relaxation. By results of psychophysiological examinations and heart rate variability spectral analysis during sessions of psychological relaxation of the NPP operators the physiological indicators of such negative functional states as asthenia, depression, and neurotic symptoms are substantiated. The values of heart rate variability indexes under the data of spectral analysis for definition of levels of a centralization, vegetative balance and total power of a spectrum, index of an functional reserve are adduced. The high performance of application of spectral analysis for the process control of a psychological relaxation is substantiated.

Mashin V.A., Mashina M.N., Shmeleva I.A. Psychophysiological researches of emotional lability in nuclear power station personnel. //Problems of psychology, 1997, N 4. (In Russian)
The necessity to work out the effective methods of evaluation of emotional lability for professional diagnostics in order to form individual programmes for professonal improvement and psychological assistance for self-development in atomic power station personnel is substantiated. The results of experimental study of emotional lability by psychophisiological means (heart rate variability analysis) are presented.



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©2001-2004 Vladimir Mashin