title: EP-based wavelet coefficient quantization for linear distortion ECG data compression.
abstract: Reconstruction quality maintenance is of the essence for ECG data compression due to the desire for diagnosis use. Quantization schemes with non-linear distortion characteristics usually result in time-consuming quality control that blocks real-time application. In this paper, a new wavelet coefficient quantization scheme based on an evolution program (EP) is proposed for wavelet-based ECG data compression. The EP search can create a stationary relationship among the quantization scales of multi-resolution levels. The stationary property implies that multi-level quantization scales can be controlled with a single variable. This hypothesis can lead to a simple design of linear distortion control with 3-D curve fitting technology. In addition, a competitive strategy is applied for alleviating data dependency effect. By using the ECG signals saved in MIT and PTB databases, many experiments were undertaken for the evaluation of compression performance, quality control efficiency, data dependency influence. The experimental results show that the new EP-based quantization scheme can obtain high compression performance and keep linear distortion behavior efficiency. This characteristic guarantees fast quality control even for the prediction model mismatching practical distortion curve.
authors.affiliation: Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan.
authors.forename: King-Chu
authors.initials: KC
authors.lastname: Hung
authors.affiliation: Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan; Department of Electronics and Computer Science, Tung Fang Design Institute, Taiwan. Electronic address: wtc@mail.tf.edu.tw.
authors.forename: Tsung-Ching
authors.initials: TC
authors.lastname: Wu
authors.affiliation: Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan.
authors.forename: Hsieh-Wei
authors.initials: HW
authors.lastname: Lee
authors.affiliation: Department of Computer and Communication Engineering, National Kaohsiung First University of Science and Technology, Taiwan.
authors.forename: Tung-Kuan
authors.initials: TK
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology*; D003198:Computer Simulation; D044962:Data Compression / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D016014:Linear Models; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D058067:Wavelet Analysis
keywords: ECG data compression; Error control; Evolution program (EP); Wavelet transform