A Novel Method for Identifying Electrocardiograms Using an Independent Component Analysis and Principal Component Analysis Network
Measurement(2020)
摘要
•Three types of ICA-PCANets are proposed as the ECG feature extraction methods.•Three classifier models are considered.•Small-scale data are employed as training data.•Noise removal and feature selection are not required.•Three different classification schemes are used to evaluate the proposed method.
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关键词
Electrocardiogram (ECG),ICA-PCANet,Support vector machines,Arrhythmia,MIT-BIH database,AAMI standard
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