Performance Evaluation of ECG signal using Frequency, Time-frequency and Feature Vector ECG Signal Analysis (FVESA)

Electrocardiogram (EKG or ECG) is a common diagnostic tool used to monitor heart activity. Heart diseases, which are one of the most common causes of death of men/women, are among the important problems on this century. Early diagnosis helps devise medical treatment regimes to prevent early death from the disease. Most of the clinically useful information about the cardiac activities of heart is contained in the ECG signal. This paper deals with the study and analysis of ECG signal processing by using MATLAB tool effectively. The signals recorded from the patients are compared with pre-fed signals(i.e., an ECG signal is developed using MATLAB from real time standard data) to detect the arrhythmias such as atrial fibrillation using various signal processing techniques such as Frequency domain analysis (FFT), Time and frequency domain analysis (STFT) and Feature Vector ECG signal analysis (FVESA).