Performance comparison of CNN and LSTM algorithms for arrhythmia classification
One of the critical CVDs is cardiac arrhythmia and has caused significant fatalities. Recently, deep learning models are utilized for the classification of arrhythmia disease through electrocardiogram (ECG) signal analysis. Among the existing deep learning model, convolutional neural network (CNN) a...
| Main Authors: | Hassan, S.U., Zahid, M.S.M., Husain, K. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29886 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097558612&doi=10.1109%2fICCI51257.2020.9247636&partnerID=40&md5=8b994cd86204bda8dd6b6586894f43b9 http://eprints.utp.edu.my/29886/ |
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