E C G DATA COMPRESSION USING TRANSFORMATIVE TECHNIQUES

Abstract

This dissertation deals with the application of transformative techniques for the compression of ECG data obtained from the cardiac patients and, other subjects. Two techniques, namely Fast Fourier Transform (FFT) and Fast Walsh Transform (FFT) have been selected to carryout the work in this dissertation. After general description of the ECG signal in Chapter 2 and overview of various techniques for ECG data compression in Chapter 3, the details of the implementation aspect of FFT algorithm and FWT algorithm are presented in Chapter 4. The procedural steps of to implement FFT, inverse FFT, FWT and inverse FWT algorithms are given and also various aspects of their software implementation are discussed. Besides these, calculation of PRD, visual inspection of reconstructed waveforms, and detection of P, Q, R, S and T wave peaks have also been carried out. These algorithms have been tested on large amount of ECG data taken from the CSE data base. The results with discussions on performance aspects are presented for different cases. The conclusion of the present work and scope of future work are also given in the last chapter of the dissertation. Overall, the work contained in this dissertation adds a further step in the area of ECG data compression.