A novel method of swin transformer with time-frequency characteristics for ECG-based arrhythmia detection
Siyuan Chen,
Hao Wang,
Huijie Zhang
et al.
Abstract:IntroductionArrhythmia is an important indication of underlying cardiovascular diseases (CVD) and is prevalent worldwide. Accurate diagnosis of arrhythmia is crucial for timely and effective treatment. Electrocardiogram (ECG) plays a key role in the diagnosis of arrhythmia. With the continuous development of deep learning and machine learning processes in the clinical field, ECG processing algorithms have significantly advanced the field with timely and accurate diagnosis of arrhythmia.MethodsIn this study, we… Show more
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