Dirichlet Distribution as a Model for Evaluation of the Condition of Adaptive Regulatory Systems in Human Organism in Heart Rate Variability Analysis
Volume 4 - Issue 3
Ilyakhinskiy AV1*, Pakhomov PA1, Levanov VM2 and Mukhina IV2
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- 1Institute of Problems of Machine Science RAS-branch of the Federal State Budget Scientific Institution “Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences,” Russia
- 2Privolzhsky Research Medical University, Russia
*Corresponding author:
Ilyakhinskiy AV, Institute of Problems of Machine Science RAS-branch of the Federal State Budget Scientific Institution “Federal Research Center Institute of Applied Physics of the Russian Academy of Sciences,” Nizhny Novgorod, Russia
Received: October 06, 2020; Published: October 19, 2020
DOI: 10.32474/SJPBS.2020.04.000190
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Abstract
Search for methods of quick human organism condition estimation, early disease and pathology detection including pre-clinical and premorbid stages is still a challenge for the health care service, in particular, in relation to medical and demographic processes including population ageing which is apparent in most developed countries [1]. In preventive medicine in addition to information about disease occurrence and non-occurrence, it is important to be able to qualitatively and quantitatively evaluate the health condition of people from various age, social, occupational groups plus organism’s functional reserves [2]. Nowadays a few methods are known which are based on heart rate variability analysis and indicate the state of regulatory systems of various levels [3,4]. However, each of the said methods has particular limitations which urge researchers to continue searches in the field. The problem articulated at the dawn of the method advent, namely investigation and evaluation human organism’s adaptation processes [5] which might be consistent with aims of physiological studies remains urgent.
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