Email this article Evolutionary algorithm for structural-parametric optimization of the remote photoplethysmography method
- Authors: Kopeliovich M.V.1, Petrushan M.V.2, Samarin A.I.2
-
Affiliations:
- Institute for Mathematics, Mechanics, and Computer Science in the name of I.I. Vorovich
- A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
- Issue: Vol 26, No 1 (2017)
- Pages: 55-61
- Section: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/194953
- DOI: https://doi.org/10.3103/S1060992X17010052
- ID: 194953
Cite item
Open Access
Access granted
Subscription Access
Abstract
We analyzed a problem of determination of an optimal combination of algorithms and parameters of the remote photoplethysmography method for heart rate estimation. To solve this problem we developed an evolutionary algorithm implementing an adaptive reinforcement learning. The optimal solution of the problem of the remote photoplethysmography was obtained with the aid of an original criterion combining the mean square error with the dutation of agent’s life cycle.
About the authors
M. V. Kopeliovich
Institute for Mathematics, Mechanics, and Computer Science in the name of I.I. Vorovich
Author for correspondence.
Email: kop@km.ru
Russian Federation, Rostov-on-Don
M. V. Petrushan
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
Russian Federation, Rostov-on-Don
A. I. Samarin
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
Russian Federation, Rostov-on-Don
Supplementary files
