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

Cheng Tung Ku; King Hung Hung; Kaun Rau Chiou; Tsung Ching Wu; Huan Sheng Wang

doi:10.1109/ICNSC.2009.4919308

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

Cheng Tung Ku, King Hung Hung, Kaun Rau Chiou, Tsung Ching Wu, Huan Sheng Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Pages	393-397
Number of pages	5
DOIs	https://doi.org/10.1109/ICNSC.2009.4919308
Publication status	Published - Sep 21 2009
Externally published	Yes
Event	2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan Duration: Mar 26 2009 → Mar 29 2009

Conference

Conference	2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Country	Japan
City	Okayama
Period	3/26/09 → 3/29/09

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

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A fast quality-on-demand algorithm for wavelet-based electrocardiogram signal compression. / Ku, Cheng Tung; Hung, King Hung; Chiou, Kaun Rau; Wu, Tsung Ching; Wang, Huan Sheng.

Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009. 2009. p. 393-397 4919308.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ku, CT, Hung, KH, Chiou, KR, Wu, TC & Wang, HS 2009, A fast quality-on-demand algorithm for wavelet-based electrocardiogram signal compression. in Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009., 4919308, pp. 393-397, 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, Okayama, Japan, 3/26/09. https://doi.org/10.1109/ICNSC.2009.4919308

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title = "A fast quality-on-demand algorithm for wavelet-based electrocardiogram signal compression",

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.",

author = "Ku, {Cheng Tung} and Hung, {King Hung} and Chiou, {Kaun Rau} and Wu, {Tsung Ching} and Wang, {Huan Sheng}",

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N2 - 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.

AB - 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.

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

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