The local limb cooling provides the special psychophysiology reaction as alteration of tremor parameters. Shannon’s entropy after limb cooling is researched. The efficacy of such approaches for quantity estimation according to Eskov-Zinchenko effect at biomechanics is presented. Entropy E value and quasi-attractor parameters for one person with multi repetition of tremor registration (N=225 repetition) is shown. All these 15 samples with 15 series (registration of tremorogramm of one person) present the stable value of E and quasi-attractor sequence for 225 repetitions. When the Lorenz attractors demonstrate mixing property the invariant means correspond the determined chaos. But the stress perturbation (5 min. cooling of limb in water t = 5 ºС) does not change the E value. Three groups of subjects do not present the distinction between groups without stress and after cooling of limb. So it is necessary to construct the new theory for cooling stress (not stochastic approach) in psychophysiology. The new approaches is realized according to the new theory of self-organization chaos. As a result, E entropy parameters are not obtained while the quasi-attractor (S) parameter for termograms differ significantly. This proves the uniqueness of self-organization chaos theory, and opens up new opportunities to use this new theory in psychology and psychophysiology. Objective evaluation of stress – the human response to external agents – is a very difficult task for the quantitative description and simulation. As part of chaos theory self-organizing it now becomes possible. In this case, Eskov-Zinchenko effect will be recorded only regarding quasi-attractors and matrix of pairwise comparison of samples with the calculation of k matches.
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Keywords: tremor; chaos; entropy; quasi-attractors; cooling stress;
Available Online 06.07.2016
№ |
S1 |
S2 |
S3 |
S4 |
S5 |
S6 |
S7 |
S8 |
S9 |
S10 |
S11 |
S12 |
S13 |
S14 |
S15 |
1 |
1.57 |
3 |
2.46 |
4.13 |
1.07 |
1.94 |
1.37 |
2.86 |
1.74 |
1.02 |
1.24 |
1.05 |
1.56 |
0.55 |
0.14 |
2 |
1.33 |
1.34 |
2.72 |
2 |
2.2 |
1.99 |
0.81 |
3.27 |
1.9 |
2.2 |
1.53 |
1.31 |
2.59 |
1.43 |
5.78 |
3 |
1.7 |
1.61 |
1.89 |
3.99 |
1.6 |
0.79 |
1.49 |
1.99 |
1.88 |
1.86 |
1.45 |
1.35 |
4.83 |
0.55 |
9.38 |
4 |
1.17 |
1.36 |
4.36 |
2.22 |
1.64 |
1.61 |
1.01 |
1.46 |
1.6 |
2.26 |
2.86 |
1.47 |
2.03 |
1.03 |
3.48 |
5 |
0.87 |
1.34 |
3.06 |
1.5 |
3.16 |
1.04 |
1.26 |
4.82 |
1.3 |
1.07 |
1.31 |
1.91 |
1.9 |
1.24 |
3 |
6 |
2.93 |
1.5 |
2.82 |
1.06 |
4.07 |
1.08 |
1.13 |
6.79 |
1.69 |
1.8 |
1.17 |
3.84 |
2.7 |
1.51 |
3.8 |
7 |
2.08 |
1.86 |
5.49 |
1.25 |
3.33 |
5.96 |
0.51 |
2.56 |
0.98 |
1.62 |
1.48 |
1.78 |
1.6 |
0.93 |
2.52 |
8 |
0.89 |
4.2 |
2 |
1.32 |
1.9 |
3.63 |
0.98 |
1.94 |
1.24 |
1.1 |
0.50 |
1.2 |
0.97 |
2.07 |
4.17 |
9 |
0.79 |
1.74 |
2.76 |
1.06 |
1.1 |
1.82 |
0.73 |
1.49 |
1.67 |
1.35 |
0.83 |
1.39 |
0.90 |
1.42 |
4.67 |
10 |
2.03 |
1.65 |
1.42 |
1.94 |
0.56 |
2.15 |
0.79 |
2 |
1.25 |
2.72 |
0.46 |
1.3 |
1.95 |
0.49 |
4.22 |
11 |
3.31 |
2.75 |
2.88 |
1.81 |
2.22 |
1.46 |
2.05 |
3.54 |
2.82 |
1.39 |
0.79 |
3.15 |
0.96 |
2.21 |
0.90 |
12 |
0.97 |
1.55 |
1.25 |
0.85 |
1.86 |
0.85 |
1.02 |
1.42 |
1.79 |
2.02 |
1.63 |
2.57 |
1.29 |
1.19 |
6.22 |
13 |
1.31 |
0.73 |
3.78 |
1.17 |
1.54 |
1.15 |
1.42 |
4.01 |
2.15 |
1.87 |
3.18 |
1.53 |
1.18 |
1.02 |
2.56 |
14 |
1.87 |
1.29 |
1.94 |
1.72 |
2.16 |
2.36 |
2.35 |
1.81 |
2.07 |
1.17 |
0.62 |
1.38 |
1.11 |
3.22 |
5 |
15 |
1.19 |
0.67 |
1.9 |
1.03 |
0.95 |
1.96 |
1.64 |
2.71 |
2.07 |
0.65 |
0.81 |
1.41 |
0.68 |
2.39 |
2.4 |
<S> |
1.6 |
1.77 |
2.71 |
1.8 |
1.96 |
1.99 |
1.24 |
2.84 |
1.74 |
1.61 |
1.33 |
1.78 |
1.75 |
1.42 |
4.86 |
Table 1. The results of statistical processing of the S * 10-6 dynamic behavior - Square quasi-attractors for tremor of the same person for 225 samples (n = 15 experiments, N = 15 samples in each)
№ |
1 Group - Е1 |
2 Group - Е2 |
3 Group - Е3 |
|||
Before |
After |
Before |
After |
Before |
After |
|
1 |
3.86 |
3.81 |
3.68 |
3.67 |
3.67 |
3.73 |
2 |
3.40 |
4.05 |
3.89 |
3.48 |
3.83 |
3.54 |
3 |
3.75 |
3.89 |
3.86 |
4.08 |
3.78 |
3.59 |
4 |
3.75 |
4.05 |
3.67 |
3.81 |
4.13 |
3.59 |
5 |
3.81 |
3.97 |
3.59 |
3.94 |
3.57 |
3.68 |
6 |
3.75 |
3.75 |
3.92 |
3.64 |
3.81 |
3.54 |
7 |
3.60 |
3.48 |
4.13 |
3.56 |
3.89 |
3.68 |
8 |
4.16 |
3.78 |
3.86 |
3.64 |
3.64 |
3.68 |
9 |
3.86 |
3.65 |
3.81 |
3.62 |
3.62 |
3.83 |
10 |
3.89 |
3.54 |
3.51 |
3.67 |
3.80 |
3.59 |
11 |
3.65 |
3.84 |
3.89 |
4.02 |
3.88 |
4.00 |
12 |
3.70 |
3.94 |
3.75 |
3.78 |
3.59 |
3.54 |
13 |
3.94 |
3.62 |
3.68 |
3.35 |
3.65 |
3.97 |
14 |
3.64 |
3.75 |
3.84 |
3.78 |
3.86 |
3.81 |
15 |
3.59 |
3.62 |
3.78 |
3.73 |
3.56 |
3.67 |
<Е> |
3.76 |
3.79 |
3.79 |
3.72 |
3.75 |
3.70 |
Note: E - the value of the Shannon entropy, <E> - the average value of the Shannon entropy |
Table 2. The results of statistical processing of the dynamic behavior of E - Shannon entropy of tremor before and after local cold exposure (pre-post) for the three test groups (group 1 - 15 people not quenched, Group 2 - 15 people hardenable less than a year, 3- I group - 15 people hardenable more than 2 years)
Adaykin, V.A., Es’kov, V.M., Dobrynin, I.Yu., Drozdovich, E.A., & Polukhin. V.V. (2007) Evaluation of the chaotic dynamics of the parameters of the state vector of the human body with carbohydrate metabolism disorders. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 14, 3, 17-19.
Anoufriev, A.S., Es’kov, V.M., Nazin, A.G., Polukhin, V., Tretyakov, S.A., & Khadartseva, K.A. (2008) Medical and biological interpretation of the concept of stationary regimes of biological dynamic systems. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 15, 1, 29-32.
Bernstein, N.A. (1947) On the construction of movements. Moscow, Medgiz, 254.
Dobrynin, I.Yu., Gorbunov, D.V., Kozlov, V.V., Sinenko, D.V., & Filatov, D.Yu. (2015) Features cardio intervals: chaos and stochastic in the description of complex biological systems. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 22, 2, 19-26.
Dudin, N.S., Rusak, S.N., Khadartsev, A.A., & Khadartseva, K.A. (2011) New approaches in the theory of stability of biosystems – alternative to A.M. Lyapunov’s theory. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 18, 3, 336.
Eskov, V.V., Vokhmina, Yu.V., Gavrilenko, T.V., & Zimin, M.I. (2013) Models of chaos in physics and chaos theory, self-organization. Complexity. Mind. Postnonclassics [Slozhnost’. Razum. Postneklassika]. 2, 42-56.
Eskov, V.V., Garayev, G.R., Sinenko, D.V., Filatov, D.Yu., & Tretyakov, S.A. (2015) Kinematic characteristics of quasi-attractors movement in the evaluation of therapeutic effects kinesotherapy. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 22, 1, 128-136.
Eskov, V.M., Eskov, V.V., Zhivoglyadov, R.N., & Popov, Yu.M. (2004) Fazaton brain in normal and pathological conditions. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 11, 4, 5-8.
Eskov, V.M., Eskov, V.V., Khadartsev, A.A., Filatov, M.A., & Filatov, D.Yu. (2010a) System synthesis method based on the calculation of distances mezhattraktornyh in the hypothesis of uniform and non-uniform distribution in the study of the effectiveness of kinesitherapy. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 17, 3, 106-110.
Eskov, V.M., Braginsky, M.Ya., Kozlov, V.V., & Maystrenko, E.V. (2010b) Diagnostics of the physiological functions of female swimmers Ugra method of calculating the matrix of inter-cluster distances. System analysis and control in biomedical systems [Sistemnyy analiz i upravlenie v biomeditsinskikh sistemakh]. Vol. 9, 3, 500-504.
Eskov, V.M., Gavrilenko, T.V., Degtyarev, D.A. Eskov, V.V., & Baltikova, A.A. (2012) The dynamics of quasi-attractors parameters involuntary micro-movements of human limbs in response to local thermal effects. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 19, 4, 26-29.
Eskov, V.M., Dobrynin, I.Yu, Drozhzhin, E.V., & Zhivoglyadov, R.N. (2013) Development and introduction of new methods of chaos theory and self-organization in the medicine and health. Northern region: science, education, culture [Severnyy region: nauka, obrazovanie, kul’tura]. 1 (27), 150-163.
Eskov, V.M., Eskov, V.V., Filatova, O.E., & Filatova, D.Yu. (2015a) Comparative characteristics of age-related changes of cardio - vascular system of the people of the North of Russia. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 22, 3, 15-20.
Eskov, V.M., Polukhin, V.V., Filatov, D.Yu., Elman, K.A., & Glazov, O.A. (2015b) Homeostatic systems cannot be described by a stochastic or determined chaos. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 22, 4, 28-33.
Eskov, V.M., Gazya, G.V., Maystrenko, E.V., & Boltaev, A.V. (2016a) The impact of electromagnetic fields on the industrial parameters of the cardiovascular system of workers of oil and gas industry. Ecology and Industry of Russia [Ekologiya i promyshlennost’ Rossii]. 1, 59-63.
Eskov, V.M., Eskov, V.V., Vokhmina, Yu.V., & Gavrilenko, T.V. (2016b) The evolution of chaotic dynamics of collective modes as a way to describe the behavior of living systems. Bulletin of Moscow University [Vestnik Moskovskogo universiteta]. Series 3, Astron, 2.
Filatov, D.Yu., Vokhmina Yu.V., Garayev, G.R., Sinenko, D.V., & Tretyakov, S.A. (2015) The uncertainty of the 1st kind in regenerative medicine. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. Vol. 22, 1, 136-143.
Gavrilenko, T.V., Bazhenova, A.E., Baltikova, A.A., Bashkatova, Yu.V., & Maystrenko, E.V. (2013) The method of multidimensional phase spaces in assessing the dynamics of chaotic tremor. Bulletin of new medical technologies [Vestnik novykh meditsinskikh tekhnologiy]. The electronic edition. 1, 5.
Gavrilenko, T.V., Gorbunov, D.V., Elman, K.A., & Grigorenko, V.V. (2015) Features stochastics and chaos theory in processing myograms. Complexity. Mind. Postnonclassics [Slozhnost’. Razum. Postneklassika]. 1, 48-53.
Maystrenko, E.V., Eskov, V.M., Maystrenko, V.I., & Berestovaya, A.F. (2009) A comparative analysis of the parameters of the functional asymmetry of the hemispheres and the autonomic nervous system of students. Informatics and control systems [Informatika i sistemy upravleniya]. 4, 63-65.
Rusak, S.N., Molyagov, D.I., Bikmukhametova, L.M., & Filatov, O.E. (2014) Bioinformatic analysis of the technology in the phase portraits of climatic factors in the m-dimensional feature space Complexity. Mind. Postnonclassics [Slozhnost’. Razum. Postneklassika]. 3, 24-28.Eskov Valery M., Filatov Mikhail A., Streltsova Tatiana V., Zinchenko Yuriy P. (2016). Stress reaction to cooling: entropic and chaotic estimation.National Psychological Journal. 1, 45-52.