A fast quality-on-demand algorithm for wavelet-based electrocardiogram signal compression

Author

Ku, Cheng-Tung ; Hung, King-Chu ; Chiou, Kuan-Rau ; Wu, Tsung-Ching ; Wang, Huan-Sheng

Author_Institution

Dept. of Digital Content Design, Tzu Hui Inst. of Technol., Pingtung

fYear

2009

fDate

26-29 March 2009

Firstpage

393

Lastpage

397

Abstract

In this paper, a fast quality-on-demand (QOD) algorithm for wavelet-based electrocardiogram (ECG) signal compression is proposed. The algorithm based on the 1-D reversible round-off non-recursive discrete periodized wavelet transform (1-D RRO-NRDPWT) and an approximately linear compression performance design to build a linear prediction model for quantization scale refinement. The convergence of quality control is verified to be always held. By using the MIT-BIH arrhythmia database, the experimental results show that the proposed method can effectively improved the computational complexity and convergence speed of quality control.

Keywords

approximation theory; electrocardiography; encoding; medical signal processing; quantisation (signal); signal reconstruction; wavelet transforms; ECG; approximate linear compression; electrocardiogram signal compression; nonrecursive discrete periodized wavelet transform; quality-on-demand algorithm; quantization scale refinement; reversible round-off; signal reconstruction; Algorithm design and analysis; Computational complexity; Convergence; Databases; Discrete wavelet transforms; Electrocardiography; Linear approximation; Predictive models; Quality control; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking, Sensing and Control, 2009. ICNSC '09. International Conference on

Conference_Location

Okayama

Print_ISBN

978-1-4244-3491-6

Electronic_ISBN

978-1-4244-3492-3

Type

conf

DOI

10.1109/ICNSC.2009.4919308

Filename

4919308