The problem of statistical stability of parameters of the cardiovascular system
Bibliographic Data
| ID | 5968071 |
|---|---|
| Authors | V V Eskov, Valeriy Eskov (0000-0003-3295-1057, Research Institute for System Studies), E V Orlov, Е В Орлов (0000-0002-2220-793X, Samara State Medical University), Yu V Bashkatova (0000-0002-5862-3417, Research Institute for System Studies), E G Melnikova (Research Institute for System Studies) |
| Year | 2020 |
| Volume | 27 |
| Issue | 11 |
| Pages | 27-31 |
| Publication date | 2020-11-15 |
| 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 | 10.33396/1728-0869-2020-11-27-31 |
| OpenAlex | W3108250536 |
| Language | EN |
| References cited | 16 |
One of the main problems in the theory of homeostasis and the theory of functional systems of the human body is the problem of choosing standards. It turned out that the statistics poorly diagnose the norm (standard) of function of the human body. The aim of the study was to assess the possibility of using a new quantitative criteria - the area of the pseudoattractors (Eskov's quasiattractors) as standard (physiological norm) parameters. Methods. In a group of 15 women (mean age = 28 ± 2,3 years, who have been living in the North of the Russian Federation in Ugra for more than 15 years), cardiointerval samples were recorded (300 cardiointervals per sample) 225 times for each test subject. As a result, we calculated 15 matrices of pairwise comparisons of samples. A total of 225 matrices for all 15 subjects and 225 areas of S pseudoattractors for each subject were created. Area S was found from the formula S = Δx1 х Δх2, where Ax1 is the range for cardio intervals, and Δx2 is the range for Δx1. Results. All 225 matrices for 15 subjects showed showed a substantial variability in samples of cardiointervals. However, S areas showed statistical stability for each of 15 subjects. Conclusions: further application of statistics in the calculation of cardio intervals is problematic due to the statistical instability of the samples, therefore we propose to use areas of pseudoattractors to assess the physiological norm
Pairwise comparison · Statistical analysis · Statistics · Biofield Effects and Biophysics · Computer Science · Demography · Engineering · Fusion and Plasma Physics Studies · Mathematics · Medicine · Technology and Human Factors in Education and Health
| Citation velocity | historical |
|---|---|
| Highly cited | No |