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A_Comparative_Approach_to_ECG_Feature_Extraction_Methods

上传者: 2021-04-20 07:04:55上传 PDF文件 320.45KB 热度 20次
This paper discusses six most frequent methods used to extract different features in Electrocardiograph (ECG) signals namely Autoregressive (AR), Wavelet Transform (WT), Eigenvector, Fast Fourier Transform (FFT), Linear Prediction (LP), and Independent Component Analysis (ICA). The study reveals tha
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