ECG is the electrical activity of heart functioning which is used to diagnosis the heart related diseases. ECG helps to decide whether human is healthy or not. Today most of death happened in the world due to the heart diseases. It is very important to know the accurate information about the heart activity to diagnosis the actual diseases. The data base is taken from the MIT-BIH physionet bank. In this paper the features of tachyarrhythmia ECG and normal ECG are extracted using wavelet transform. After that t-test is used for statically analysis. This study shows that the most of morphological features of tachyarrhythmia ECG has strongly significant changes.
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