ABSTRACT: Analyzing the characteristics of an ECG signal plays a vital role in the detection of various Cardiovascular Diseases (CVDs). However the analysis of ECG signal is not a simple task. In this paper a broad survey is carried out over various approaches focused to analyze the characteristics of ECG signal to perform automatic Cardiac Arrhythmia detection. Initially, the details of ECG acquisition, Characteristics of ECG and the possible arrhythmias based on the abnormalities in the ECG signal are discussed. Based on the step by step execution of the system model, all the approaches are classified as preprocessing approaches, feature extraction approaches and classification approaches. These approaches.......
Keywords: ECG, Cardiovascular Diseases, Cardiac Arrhythmia, Feature Extraction, MIT-BIH
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