Мақаланы E-mail арқылы жіберу Evolutionary algorithm for structural-parametric optimization of the remote photoplethysmography method
- Авторлар: Kopeliovich M.V.1, Petrushan M.V.2, Samarin A.I.2
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Мекемелер:
- 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
- Шығарылым: Том 26, № 1 (2017)
- Беттер: 55-61
- Бөлім: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/194953
- DOI: https://doi.org/10.3103/S1060992X17010052
- ID: 194953
Дәйексөз келтіру
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Рұқсат берілді
Тек жазылушылар үшін
Аннотация
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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Авторлар туралы
M. Kopeliovich
Institute for Mathematics, Mechanics, and Computer Science in the name of I.I. Vorovich
Хат алмасуға жауапты Автор.
Email: kop@km.ru
Ресей, Rostov-on-Don
M. Petrushan
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
Ресей, Rostov-on-Don
A. Samarin
A.B. Kogan Research Institute for Neurocybernetics, D.I. Ivanovsky Academy of Biology and Biotechnologies
Email: kop@km.ru
Ресей, Rostov-on-Don
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