ECG Signal Processing for Recognition of Cardiovascular Diseases: A Survey
Waqas Ahmed, Shehzad Khalid
Progress in Signals and Telecommunication Engineering , Vol. 5, No. 2, 2016.
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Abstract:
Electrocardiogram (ECG) is nearly a periodic signal widely used for the detection and diagnosis of cardiac abnormalities. Recently with the inception of computer based techniques, automated analysis of shape and pattern of ECG waveform has facilitated physician to obtain fast and accurate diagnosis of cardiac disorders. Abnormalities related to sinus rhythms can be detected by using ECG signal beat classification, whereas Ischemic Heart Disease and Myocardial Infarction can be detected by deviation in ST segment or inversion of T wave in ECG signal.  This paper discusses techniques proposed earlier in the literature for noise removal, feature extraction and classification of ECG signals.