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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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Bibliographic Details
Main Authors: Islam, Md Shofiqul, Islam, Md Nahidul, Noramiza, Hashim, Rashid, Mamunur, Bari, Bifta Sama, Al Farid, Fahmid
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
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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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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