文件名称：A_Comparative_Approach_to_ECG_Feature_Extraction_Methods
文件大小：320KB
文件格式：PDF
更新时间：2022-03-03 18:34:25
ECG 特征提取 心电图 方法 IEEE
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 that Eigenvector method gives better performance in frequency domain for the ECG feature extraction.