电邮这篇文章 Evolutionary algorithm for structural-parametric optimization of the remote photoplethysmography method
- 作者: Kopeliovich M.V.1, Petrushan M.V.2, Samarin A.I.2
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隶属关系:
- 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
- 期: 卷 26, 编号 1 (2017)
- 页面: 55-61
- 栏目: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/194953
- DOI: https://doi.org/10.3103/S1060992X17010052
- ID: 194953
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详细
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.
作者简介
M. Kopeliovich
Institute for Mathematics, Mechanics, and Computer Science in the name of I.I. Vorovich
编辑信件的主要联系方式.
Email: kop@km.ru
俄罗斯联邦, Rostov-on-Don
M. Petrushan
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
俄罗斯联邦, Rostov-on-Don
A. Samarin
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
俄罗斯联邦, Rostov-on-Don
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