Enviar artigo por via de e-mail Evolutionary algorithm for structural-parametric optimization of the remote photoplethysmography method
- Autores: Kopeliovich M.V.1, Petrushan M.V.2, Samarin A.I.2
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Afiliações:
- 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
- Edição: Volume 26, Nº 1 (2017)
- Páginas: 55-61
- Seção: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/194953
- DOI: https://doi.org/10.3103/S1060992X17010052
- ID: 194953
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Resumo
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.
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Sobre autores
M. Kopeliovich
Institute for Mathematics, Mechanics, and Computer Science in the name of I.I. Vorovich
Autor responsável pela correspondência
Email: kop@km.ru
Rússia, Rostov-on-Don
M. Petrushan
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
Rússia, Rostov-on-Don
A. Samarin
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
Rússia, Rostov-on-Don
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