Extraction of Myopotentials in ECG Signal Using Median Filter via Adaptive Wavelet Weiner Filter
Iosr Journals, Z. Sumaiya Saliha, A.K. Ramanathan · Figshare · 2015
One of the main problems in biomedical signal processing like electrocardiography is the parting of the wanted signal from dins caused by power line interference, body movements, inhalation and exhalation. Many types of digital filters are used to eradicate signal components from unwanted frequencies. It is difficult to apply for filters with fixed coefficients to reduce Biomedical Signal noises, because human behavior is not known depending on time. Adaptive filter technique is required to overcome this problem. In this paper type of adaptive and median filters are considered to decrease the ECG signal noises. Results of simulations in MATLAB are presented. Testing was performed on artificially noised signals. When creating an artificial interference, white Gaussian noise is used, whose power spectrum was modified according to a model of the power spectrum of an EMG signal. Keywords - Broadband myopotentials (EMG) noise, ECG signal, Median Filter, Wavelet transform, Weiner filter.