Noise Compression of ECG Signal for Epic Cardio Signal

Abstract

The electrical activity of the heart called Electrocardiagram (ECG) is a very important diagnostic parameter for the measurement of the heart activity and the health condition of the patient for the treatment purpose, The advance Non- Contact technique for the measure of the cardio ECG signal is EPIC (Electric Potential Integrated Circuit), so for the long term monitoring and analysis of the ECG data, compression techniques are very much important and necessary for the record of large data signals in a space, as small as possible for the storage with the high accuracy while retaining the important diagnostic clinical parameters in case of reconstruction of the original compressed signal. In this paper the results are complied with the compression techniques using Frequency Transformation DCT 2, are proposed for achieving these required conditions based on MATLAB Programming for Standard MIT-BIH Database Record Signal No 100 in association with reference of the work proposed of proposed data in the paper for better results for EPIC ECG signal[1].