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

研究成果: 書貢獻/報告類型 › 會議貢獻

1 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
主出版物標題	Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
頁面	393-397
頁數	5
DOIs	https://doi.org/10.1109/ICNSC.2009.4919308
出版狀態	已發佈 - 9月 21 2009
對外發佈	是
事件	2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, 日本持續時間: 3月 26 2009 → 3月 29 2009

會議

會議	2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
國家/地區	日本
城市	Okayama
期間	3/26/09 → 3/29/09

ASJC Scopus subject areas

電腦網路與通信
電氣與電子工程

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10.1109/ICNSC.2009.4919308

其它文件與鏈接

Link to publication in Scopus

引用此

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

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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.",

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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

摘要

會議

ASJC Scopus subject areas

存取文件

其它文件與鏈接

指紋

引用此