ECGTransForm: empowering adaptive ECG arrhythmia classification framework with bidirectional transformer
Cardiac arrhythmias, deviations from the normal rhythmic beating of the heart, are subtle yet critical indicators of potential cardiac challenges. Efficiently diagnosing them requires intricate understanding and representation of both spatial and temporal features present in Electrocardiogram (ECG)...
Main Authors: | Eldele, Emadeldeen, El-Ghaish, Hany |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/171854 |
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