ECG ANALYSIS USING WAVELET TRANSFORM

Abstract

Electrocardiogram (ECG) records the electrical signal of the heart to check for unlike heart condition. It gives fast and authentic information to the specialist cardiologist with respect to the practical feature of the heart. The ECG is recorded in various situations like what are the patient condition under medical recognition and treatment. It gives the state of patients in the rigorous cardiac care units, to get the replicate of the patient under medical treatment and the action of cardiac system under tensed situation. It also helps in monitoring the condition of the vagrant patients. The number of cardiac patients increase day by day and it is not possible for the existing number of cardiologists to take care of all the cardiac patients under all the states. This problem was realized about 8 decades back and a large number of individuals and groups started work on the computer analysis and interpretation of ECG signal all over the world. The ECG data recovery and denoising of ECG signal and the detection of the peaks are usage to get the disease classification. The work has been done in this thesis for automated analysis of the ECG signal by making effective use of the wavelet transform. The work covers the denoising of ECG signal, R peak detection and heart rate calculation. Also comparing the result with expert result using WFDB toolbox and calculating sensitivity, positive predictivity and accuracy. Here I have taken 48 records of MIT BIH database for testing and presenting only 5 records in this thesis.