ECGTransForm: empowering adaptive ECG arrhythmia classification framework with bidirectional transformer

• المؤلفون الرئيسيون: Eldele, Emadeldeen, El-Ghaish, Hany
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Bioengineering; ECG; Arrhythmia
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/171854
• المؤسسة: Nanyang Technological University

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)...