title: A linear quality control design for high efficient wavelet-based ECG data compression.
abstract: 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.
authors.affiliation: Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung 811, Taiwan.
authors.forename: King-Chu
authors.initials: KC
authors.lastname: Hung
authors.forename: Chin-Feng
authors.initials: CF
authors.lastname: Tsai
authors.forename: Cheng-Tung
authors.initials: CT
authors.lastname: Ku
authors.forename: Huan-Sheng
authors.initials: HS
authors.lastname: Wang
mesh_terms: 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