DENOISING AND FEATURE EXTRACTION OF ECG USING DISCRETE WAVELET TRANSFORM (original) (raw)

Electrocardiogram plays a vital role in heart disease diagnosis. ECG contains very important clinical information about the cardiac activities of the heart. ECG signal is affected by noises such as baseline wandering, power line interference, electromagnetic interference and high frequency noises during data acquisition. In this paper, DWT has been used for denoising the ECG signal by discarding the coefficients containing noise. Also QRS complexes are detected and used to locate the Q peaks, R peaks and S peaks using PTB diagnostic ECG Database and manually annotated database.