A Critical Review of Feature Extraction Techniques for ECG Signal Analysis

An Electrocardiogram (ECG) is a primary and most prevalent non-invasive test performed on the subjects’ (i.e. patients’) with suspected heart problems. It helps in diagnosing important cardiological status of the subject’s heart i.e. normal or abnormal by investigating rhythm of the heart. This interpretation is not always possible using naked eyes, especially for minute aberrations. Therefore, advanced feature extraction methods are required for investigating these minute differences that might be a challenge to be detected by the human eye. Hence, a critical review of feature extraction techniques presented in this paper will help the researchers to make an informed choice of an appropriate technique for developing efficient methodologies for ECG signal processing.

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