Intelligent Feature Selection for ECG-Based Personal Authentication Using Deep Reinforcement Learning

In this study, the optimal features of electrocardiogram (ECG) signals were investigated for the implementation of a personal authentication system using a reinforcement learning (RL) algorithm. ECG signals were recorded from 11 subjects for 6 days. Consecutive 5-day datasets (from the 1st to the 5t...

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Detalles Bibliográficos
Autores principales: Baek, Suwhan, Kim, Juhyeong, Yu, Hyunsoo, Yang, Geunbo, Sohn, Illsoo, Cho, Youngho, Park, Cheolsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920765/
https://www.ncbi.nlm.nih.gov/pubmed/36772269
http://dx.doi.org/10.3390/s23031230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9920765/
https://www.ncbi.nlm.nih.gov/pubmed/36772269
http://dx.doi.org/10.3390/s23031230

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