A Deep Learning Scheme for Detecting Atrial Fibrillation Based on Fusion of Raw and Discrete Wavelet

A Deep Learning Scheme for Detecting Atrial Fibrillation Based on Fusion of Raw and Discrete Wavelet Transformed ECG Features | IEEE Conference Publication | IEEE Xplore

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2022-11-16

房颤：心率不规则且通常异常快

数据类分布不平衡：过采样

数据增强：time-scaling, time-shifting, time-masking, frequency-masking, horizontal-flip

 标准化：所有数据的全局均值与标准差

融合原始波形特征、DWT特征