Cardiointervals Parameters of Human Body in Response to Hypothermia
Bibliographic Data
| ID | 7759843 |
|---|---|
| Authors | V M Eskov, В М Еськов (0000-0002-1497-897X), Yu V Bashkatova (0000-0002-5862-3417), D V Beloshchenko, Д Белощенко, Lubov K Ilyashenko (0000-0002-9173-918X) |
| Year | 2018 |
| Volume | 25 |
| Issue | 10 |
| Pages | 39-45 |
| Publication date | 2018-10-15 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Ekologiya Cheloveka (Human Ecology (JOURNAL) |
| Journal identifiers | ISSN: 1728-0869 • E-ISSN: 2949-1444 |
| Publisher | ECO-Vector LLC (PUBLISHER • RU) |
| DOI | 10.33396/1728-0869-2018-10-39-45 |
| OpenAlex | W2922252744 |
| Language | EN |
| References cited | 6 |
The study of the functional state of the human body, living in the North of Russia is of particular interest within the framework of theory of chaos-self-organization. The aim of the study was to find out peculiarities of heart rate variability to local hypothermia. Methods. The stochastic approach was used - calculation of statistical functions of distribution f(x) successively obtained by R-R intervals samples in one subject and group of subjects; matrices of paired comparison of R-R intervals samples were built and k number (pair number of statistical coincidence) derived from these matrices were compared. Results. The paper showed R-R intervals chaotic dynamics both in one person and in a group of persons (during multiply measurement of R-R intervals parameters) in a state of rest before and after local cooling. The statistical instability of successively obtained samples of R-R intervals upon reregistration both in one person and in a group of persons has been proved. It has been shown that a group of different persons was more statistically stable (k > 19) than one person in terms of 15 recordings of R-R intervals in permanent homeostasis (k
Algorithm · Coincidence · Combinatorics · Hypothermia · Physics · Quantum mechanics · Statistics · Biofield Effects and Biophysics · Fusion and Plasma Physics Studies · Mathematics · Medicine · Technology and Human Factors in Education and Health · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |