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 | |
| 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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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