Application of theory of wavelets for analysis of EKG signal

Application of Wavelet Theory for detection of P-wave, reduction of floating izoelectric line, monitoring of changes in EKG signal and compression of EKG signal is presented. Signals of biologic origin, like EKG signal, are wideband signals and methods such as Short Time Fourier Transform (STFT), utilizing narrowband basis functions, are not suitable for representation of these signals. Wavelet Theory, which provides for wideband representation of signals, uses a special analysis window, called mother wavelet, to analyze local spectral information of the EKG signal. The mother wavelet is either compressed or dilated to give multiresolution signal representation. Results of application of Continues Wavelet Transform (CWT) and Discrete Wavelet Transform (DWT) shows good efficiency in P-wave detection in noisy EKG signal and benefits of multiresolution analysis in eliminating unwanted frequency components, monitoring of EKG changes and reduction of redundant samples in e EKG signal.