Enhanced electrocardiogram machine learning-based classification with emphasis on fusion and unknown heartbeat classes
Building an electrocardiogram (ECG) heartbeat classification model is essential for early arrhythmia detection. This research aims to build a reliable model that can classify heartbeats into five heartbeat types: normal beat (N), supraventricular ectopic beat (SVEB), ventricular ectopic beat (VEB),...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2023-07-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076231187608 |