Evaluation of Electrocardiogram Signals Classification Using CNN, SVM, and LSTM Algorithm: A review-Reference-Cited by-同舟云学术

Evaluation of Electrocardiogram Signals Classification Using CNN, SVM, and LSTM Algorithm: A review

Published:2022-02-23 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Engineering Conference on Sustainable Technology and Development (IEC)
language:
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Author:

Amin Ali Omar Mohammed¹,Wahhab Kareem Shahab²,Mohammed Amin Salih³

Affiliation:

1. Charmo University,College of Medicals and Applied Sciences,Department of Applied Computer,Chamchamal,Sulaimani,Iraq

2. Erbil Polytechnic University,Technical Engineering College,Department of Technical Information Systems Engineering,Erbil,Iraq

3. Lebanese French University,College of Engineering and Computer Science,Department of Computer Networking,Erbil,Iraq

Publisher

IEEE

Link

Reference48 articles.

2. Classification of mental stress using CNN-LSTM algorithms with electrocardiogram signals;kang;J Healthcare Engineering,2020

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3. ECG Signal Classification Based on Attention Mechanism and 1D-CNN;2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE);2024-05-10

5. Developing Deep Learning Model for Abnormal Heartbeat Detection in Electrocardiography Signals;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04