Analysis And Classification Of Arrhythmias In ECG Signals

Nur Amalina, Mhd Idros (2008) Analysis And Classification Of Arrhythmias In ECG Signals. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

ECG (electrocardiograph) is a test that measures the electrical activity of the heart. In an ECG test, the electrical impulses were made while the heart is beating and then it records any problems with the heart's rhythm, and the conduction of the heart beat through the heart which may be affected by underlying heart disease. In this project, different signal processing techniques which are in Time-Frequency Domain and AutoCorrelation will be analyze and later, it will be classify to predict the patient's heart condition whether it is healthy or not. Apart of that, this project also used three types of method for automatic classifications which are Signal Analysis Technique, Pattern Recognition and Automatic Classification. MATLAB will be used as a computerized interpretation ofECG problems. In the MATLAB, the data were analyzed and the figure of the signal was appeared to represent the Arrhythmias.

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