OPTIMUM WAVELET TRANSFORM-BASED ECG COMPRESSION ANDDISSIMILARITY MEASURE BASED NOISE PERFORMANCE ANALYSIS

摘要

In this study, an optimum wavelet transform-based ECGrncompression technique is proposed and its noisernperformance analysis is investigated. The major addressedrnissue is guaranteeing an error limit as small as possiblernmeasured by the percent root mean square differencern(PRD) for the reconstructed ECG signal at every segmentrnwhile keeping the compression ratio (CR) as large asrnpossible with reasonable implementation complexity. Forrnthis purpose, an optimum wavelet transform-basedrncompression algorithm is developed. Noise effects on thernnormal and the arrhythmia signal is analyzed based on therncompression ratio (CR) and the reconstruction distortion.rnThe similarity measurement is used as a criterion tornanalyze how much the original signal is similar or closerrnto the reconstructed one. Two numerical metrics PRD andrnCR are used as the major performance evaluationrnparameters to analyze the results of the implementedrnmethod quantitatively. Using the developed technique,rndifferent types of orthonormal wavelets are compared.