Single heartbeat ECG authentication: a 1D-CNN framework for robust and efficient human identification

This study proposes a small one-dimensional convolutional neural network (1D-CNN) framework for individual authentication, considering the hypothesis that a single heartbeat as input is sufficient to create a robust system. A short segment between R to R of electrocardiogram (ECG) signals was chosen...

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Detalhes bibliográficos

Principais autores:	Ana Rahma Yuniarti, Syamsul Rizal, Ki Moo Lim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2024-07-01
Colecção:	Frontiers in Bioengineering and Biotechnology
Assuntos:	electrocardiogram (ECG) authentication biometrics 1D-CNN convolutional neural network SMOTE
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fbioe.2024.1398888/full
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