PROCESSING ECG SIGNAL WITH KAISER WINDOW- BASED FIR DIGITAL FILTERS BY

Heart attacks mostly occur in people who suffer from heart or heart-relate diseases if these diseases are not detected early enough and treated. There is therefore the need for a reliable means of detecting these diseases to save the patients from these attacks which are increasing in proportion all over the world. Electrocardiography (ECG), which is the electrical activity of the heart, generates a signal referred to as ECG signal or simply ECG and the shape of this signal tells much about the condition of the heart of a patient. Naturally the ECG signal gets distorted by different artifacts which must be removed otherwise it will convey an incorrect information regarding the patients heart condition. The work in this paper is the design of FIR digital filters with Kaiser Window to remove the interferences or the artifacts. Three filters are considered: low pass, high pass and notch filters. Each filter is used to filter the raw noisy ECG signal after which the three filters are used in cascade. Results are observed and recorded in each case, using FDA tool.