EFFICIENT DATA COMPRESSION OF ECG SIGNAL USING DISCRETE WAVELET TRANSFORM

Karishma Qureshi, V. P. Patel

Abstract: Data compression reduces the number of bits of information required to store or transmit the biomedical signals. Compression algorithm of bio-medical signals is implemented using Discrete Wavelet Transform. High threshold value (?) gives high data reduction and poor signal fidelity and low threshold value (?) gives low data reduction and high signal fidelity. Threshold value selection should be such that the quality of the ECG signal is not distorted on reconstruction and a good amount of data reduction is also achieved. The database has been collected from MIT-BIH arrhythmias database of the lead II (ML II) signal. The ECG signal to be compressed is decomposed to the Level 5 using the biorthogonal 4.4 wavelet family. In this paper different issues for compression are demonstrated and the results are shown using MATLAB

Keywords: Electrocardiogram (ECG), Discrete Wavelet Transform (DWT), Compression Ratio (CR), Percentage Root Mean Deviation (PRD), etc.

DOI: https://doi.org/10.15623/ijret.2013.0204052