Effective quality-controlled SPIHT-based ECG coding strategy under noise environments

An effective quality-controlled set partitioning in hierarchical trees (SPIHT)-based ECG coding strategy under noise environments is proposed using a wavelet-energy based weighted percentage root mean square difference (WEWPRD_s) criterion. This criterion is subjectively meaningful and leads to a better measure of rate-distortion (R-D) performance. Experiments on several noisy records from the MIT-BIH arrhythmia (mita) database show that the proposed strategy outperforms PRD and wavelet-based weighted PRD_ws (WWPRD_s) measurement-criteria-based strategies.