Dual tree DWT analysis based electrocardiogram signal compression using zero coding technique

An Electrocardiogram (ECG) signal compression becomes more area of interest due to increases demand of tel-e-healthcare system. In this manuscript, dual tree discrete wavelet decomposition (DT-DWT) based ECG signal compression is exploited using zero run-length coding techniques. The main advancement of proposed technique, its sensitivity of generating sparse data set that helps to enhance compression performance of system. Performance of method evaluated through compression ratio and percentage root-mean square difference and quality evaluated using the cross correlation between the original and reconstructed MIT-BIH records. As discuses in results, proposed method is good as compare to earlier developed techniques in term of compression.