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| Content Provider | Springer Nature Link |
|---|---|
| Author | Dzizinskii, A. A. Kuklin, S. G. Mikhalevich, I. M. Rozhkova, N. Yu. |
| Copyright Year | 2005 |
| Abstract | An attempt was made to classify the heart rate (HR) regulation states observed during 24-h monitoring of HR variability parameters in patients with essential hypertension and coronary heart disease. A continuous chain of nonoverlapping 5-min intervals was studied, and the cardiointerval mode, the spectral powers in the ranges of respiratory and first-order slow waves, their ratio, and the total spectral power were determined for each interval. Combinations of HR characteristics obtained for 5-min intervals were classified using nonparametric clustering methods. The standard clustering always revealed a limited number (8–13) of classes of HR regulation states. For every patient, the classes of states were numbered and their chronological sequence was studied with a mathematical apparatus for analyzing Markov chains. A set of state-to-state transitions significantly differing in frequency from random transitions was revealed for every patient. |
| Starting Page | 195 |
| Ending Page | 198 |
| Page Count | 4 |
| File Format | |
| ISSN | 03621197 |
| Journal | Human Physiology |
| Volume Number | 31 |
| Issue Number | 2 |
| e-ISSN | 16083164 |
| Language | English |
| Publisher | Nauka/Interperiodica |
| Publisher Date | 2005-01-01 |
| Publisher Place | Moscow |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Biomedicine general Human Physiology Life Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physiology Physiology (medical) |
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