An Electrocardiogram Signal Preprocessing Strategy in LSTM Algorithm for Biometric Recognition

An Electrocardiogram Signal Preprocessing Strategy in LSTM Algorithm for Biometric Recognition

Electrocardiogram (ECG) signals are a very important tool for clinical diagnosis and can be used as a new biometric modality. The aim of this research is to determine the results of ECG signal processing using RNN methods such as the Long Short Term Memory (LSTM) algorithm by utilizing several prepr...

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Bibliographic Details
Main Authors: Fenny Winda Rahayu, Mohammad Reza Faisal, Dodon Turianto Nugrahadi, Radityo Adi Nugroho, Muliadi Muliadi, Sri Redjeki
Format: Article
Language:English
Published: Universitas Gadjah Mada 2024-04-01
Series:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Subjects:
biometric
electrocardiogram
adjacent segmentation
r peak segmentation
lstm
Online Access:https://jurnal.ugm.ac.id/ijccs/article/view/93895

Internet

https://jurnal.ugm.ac.id/ijccs/article/view/93895

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