A linear quality control design for high efficient wavelet-based ECG data compression.
In ECG data compression, maintaining reconstructed signal with desired quality is crucial for clinical application. In this paper, a linear quality control design based on the reversible round-off non-recursive discrete periodized wavelet transform (RRO-NRDPWT) is proposed for high efficient ECG data compression. With the advantages of error propagation resistance and octave coefficient normalization, RRO-NRDPWT enables the non-linear quantization control to obtain an approximately linear distortion by using a single control variable. Based on the linear programming, a linear quantization scale prediction model is presented for the quality control of reconstructed ECG signal. Following the use of the MIT-BIH arrhythmia database, the experimental results show that the proposed system, with lower computational complexity, can obtain much better quality control performance than that of other wavelet-based systems.
Hung
King-Chu
KC
Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung 811, Taiwan.
Tsai
Chin-Feng
CF
Ku
Cheng-Tung
CT
Wang
Huan-Sheng
HS
D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000628:therapy; D003195:Computer Communication Networks; D044962:Data Compression; D016208:Databases, Factual; D004562:Electrocardiography / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D008962:Models, Theoretical; D011786:Quality Control; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D012984:Software