Title :
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
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;
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
DOI :
10.1109/ICNSC.2009.4919308
