Reviewing Different ECG-Signal Feature Extraction and Classification Approaches [ ]

Electrocardiogram (ECG) is continuous recording of electrical signals of heart against time. The analysis of ECG signal is essential and proves important in detecting cardiac peculiarities. Electrocardiographic signals are nothing but numerous presence of noise added from different sources. Some commn noise source that affect or disturb basic electrocardiogram are mainly power line interference, medical operating devices noise and electromagnetic field interference from other sources, noise due to random body movements and breathing movements. Noises are classified on basis of their frequency content and time variation. It is absolutely necessary to reduce these disturbances in ECG signal to improve accuracy and reliability. Noise minimizes after removing high and low frequencies. Basic classification is performed in two class namely abnormal and normal signal. ECG signal gets classified on intervals in PR, RR and QRS width from this decision rules are form. At primary stage abnormal signal of human heart detect cardiac patients. This paper reviews and summarizes about the ECG signal classification.