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
出版狀態已發佈 - 九月 21 2009
對外發佈
事件2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, 日本
持續時間: 三月 26 2009三月 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3/26/093/29/09

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電氣與電子工程

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