A High Efficient Quality Control Strategy for Wavelet-Based ECG Data Compression System

Maintaining retrieved signal with desired quality is crucial for ECG data compression. In this paper, a high efficient quality control strategy is proposed for wavelet-based ECG data compression. The strategy is based on a modified non-linear quantization scheme that can obtain a linear distortion behavior with respective to a control variable. The linear distortion characteristic supports the design of a linear control variable prediction algorithm. By using the MIT-BIH arrhythmia database, the experimental results show that the linear control variable prediction method can effectively improve the convergence speed than the previous literatures.