Comparison of shallow and deep learning methods of ECG signals clas-sification for arrhythmia detection
The research aimed to compare the classification performance of arrhythmia classification from the ECG signal dataset from the Massachusetts Institute of Technology–Beth Israel Hospital (MIT-BIH) database. Shallow learning methods that were used in this study are Support Vector Machine, Naïve Baye...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Lublin University of Technology
2023-06-01
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| Series: | Journal of Computer Sciences Institute |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/jcsi/article/view/3273 |
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