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 |
Fingerprint
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
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
}
TY - GEN
T1 - A fast quality-on-demand algorithm for wavelet-based electrocardiogram signal compression
AU - Ku, Cheng Tung
AU - Hung, King Hung
AU - Chiou, Kaun Rau
AU - Wu, Tsung Ching
AU - Wang, Huan Sheng
PY - 2009/9/21
Y1 - 2009/9/21
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.
UR - http://www.scopus.com/inward/record.url?scp=70349121308&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349121308&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2009.4919308
DO - 10.1109/ICNSC.2009.4919308
M3 - Conference contribution
AN - SCOPUS:70349121308
SN - 9781424434923
SP - 393
EP - 397
BT - Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009
ER -