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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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Principais autores: Ana Rahma Yuniarti, Syamsul Rizal, Ki Moo Lim
פורמט: Artigo
שפה:Inglês
יצא לאור: Frontiers Media S.A. 2024-07-01
סדרה:Frontiers in Bioengineering and Biotechnology
נושאים:
electrocardiogram (ECG)
authentication
biometrics
1D-CNN
convolutional neural network
SMOTE
גישה מקוונת:https://www.frontiersin.org/articles/10.3389/fbioe.2024.1398888/full
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