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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Gadjah Mada
2024-04-01
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| Series: | IJCCS (Indonesian Journal of Computing and Cybernetics Systems) |
| Subjects: | |
| Online Access: | https://jurnal.ugm.ac.id/ijccs/article/view/93895 |
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