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methods of analysis of a heart rhythm

On the basis of analysis of morfo-functional features of heart it is possible to conclude, that regulating influence on RS render from the spinal sympathetic centres, to stvolovyh, the subcortical centres and korkovyh the centres, and as gumoralnye the factors caused by functions nejroyoendokrinnoj of system (N.E.Vvedensky, 1952).

According to R.M.Baevskomu (1968; 1975), regulation RS it is possible to present formalizovanno - in a kind urovnevoj systems with a straight line and a feedback. Each level possesses the defined
Autonomy, and subordinatsionnoe intervention of highest levels is carried out in the event that the lowest have settled the functionality (V.P.Kaznacheev, etc., 1977, 1980; P.K.Anokhin, 1980).

Methods of analysis VSR can be divided into three big classes (G.V.Rjabykina, A.V.Sobolev, 1998):

- Research of the general variability (statistical methods and time

Analysis);

- Research periodic amounting VSR (frequency analysis);

- Research of the intrinsic organisation of a dynamic number kardiointervalov

(Methods of nonlinear dynamics, autocorrelation analysis, correlation ritmografija).

The standard introduces parametre a NN-interval (normal-to-normal) which is defined as all intervals R-R between the consecutive normal complexes QRS, invoked by depolarisation sinusovogo knot. Analysis VSR is spent on the basis of processing of a file of NN-intervals. Numerically time analysis is spent statistical and graphical methods.

A statistical number of intervals can consist of identical figures, as, for example, at elimination ekstrakardialnyh the excitatory influences; the sharp fluctuation characterising nestatsionarnost of process, as can be observed at some forms aritmii (I.G.Niddeker, B.M.Feodor, 1993); at last, a statistical number can be considered as the stationary casual process proceeding in time is is approximately unimodal with some fluctuations (about average value). The average voltage of fluctuations thus tends to certain changes. Such fluctuations possess ergodicheskim the property showing, that each separate realisation of stochastic function is as though “proxy представителем44 a general totality of possible realisations. Thus one realisation of sufficient duration is capable to change set of realisations of the same duration (E.S.Venttsel, 1969; A.D.Voskresensky, 1974). Non-stationary process varies in time, considerably
Deviating average value that happens at transients and in some clinical cases (vibrating aritmija). Changes CHSS in rest also not always happen stationary, that does not exclude, however, use of statistiko-likelihood methods: allocation plotting (histograms, variation pulsogramm), calculation of autocorrelation function (AKF), spectral analysis.

Method variation pulsometrii (V.V. Parin, etc., 1967; R.M.Baevsky, 2001; D.I.Zhemajtite, 1968, 1980; V.B.Vojnov, etc., 1998) allows to judge basically a state of independent regulation, in particular, about an interrelation of sympathetic and parasympathetic departments VNS. The variation curve Thus is under construction, and its basic characteristics are defined: the Fashion (Mo), voltage of a fashion (AMo), variation voltage (VR, ∆X). Mo - often meeting values kardiointervalov. It specifies in predominant level of functioning of sinus knot. In norm value of a fashion fluctuates from 0,7 to 0,9 ms. Reduction Mo less than 0,7 ms testifies about simpatotonii, augmentation more than 0,9 ms - about vagotonii. AMo - an indicator of the most frequent occurrence of the intervals equal Mo, in percentage of the general number registered kardiotsiklov. Reflects degree of a rigidity of a rhythm. In norm AMo it is equal 30-50 %. Augmentation AMo> 50 % testifies first of all to a rhythm rigidity, and also about prevalence of tone SNS. Reduction

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Scientific source GORSHKOVA Marina Nikolaevna. Individual and group indicators of a heart rhythm at its mediated control. The dissertation on competition of a scientific degree of a Cand.Biol.Sci. Tver - 2015. 2015

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