New hybrid deep learning approach using bigru-bilstm and multilayered dilated cnn to detect arrhythmia
Deep learning methods have shown early progress in analyzing complicated ECG signals, especially in heartbeat classification and arrhythmia detection. However, there is still a long way to go in terms of health-related data analysis. This research provides a duel structured and bidirectional Recurre...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/34932/1/New%20hybrid%20deep%20learning%20approach%20using%20bigru-bilstm%20and%20multilayered%20dilated%20cnn%20to%20detect%20arrhythmia.pdf http://umpir.ump.edu.my/id/eprint/34932/ https://doi.org/10.1109/ACCESS.2022.3178710 https://doi.org/10.1109/ACCESS.2022.3178710 |
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