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 proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
Pages393-397
Number of pages5
DOIs
Publication statusPublished - Sep 21 2009
Externally publishedYes
Event2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009 - Okayama, Japan
Duration: Mar 26 2009Mar 29 2009

Conference

Conference2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
CountryJapan
CityOkayama
Period3/26/093/29/09

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Ku, C. T., Hung, K. H., Chiou, K. R., Wu, T. C., & Wang, H. S. (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 (pp. 393-397). [4919308] https://doi.org/10.1109/ICNSC.2009.4919308