Title
Performance improvement of pulse oximetry-based respiration detection by selective mode bandpass filtering
Abstract
In this paper, an improved method to detect respirations by pulse oximetry during exercise is proposed. As a method for robust respiration detection, fixed bandpass filtering to block the heart beat signals is commonly utilized. But the fixed bandpass filtering cannot guarantee reasonable performances when the HR(Heart Rate) is varied highly. Therefore, the respiration detection performance is degraded. In the proposed algorithm, the HR information is used to estimate the RR(Respiration Rate). Using the RR, the corresponding bandpass filter(BPF) is selected to detect respiration points. The selection of the passband makes the proposed algorithm possible to guarantee the performance during exercise. Our test results show that the overall estimation error of the proposed algorithm was 20.32% during exercise.
Year
DOI
Venue
2007
10.1007/978-3-540-73333-1_37
HCI (17)
Keywords
Field
DocType
performance improvement,robust respiration detection,fixed bandpass,heart rate,corresponding bandpass,hr information,respiration detection performance,selective mode,improved method,respiration point,respiration rate,proposed algorithm,bandpass filter,signal processing
Passband,Respiration,Band-pass filter,Control theory,Computer science,Electronic engineering,Respiration rate,Bandpass filtering,Heart rate,Performance improvement,Pulse oximetry
Conference
Volume
ISSN
Citations 
4566
0302-9743
0
PageRank 
References 
Authors
0.34
2
5
Name
Order
Citations
PageRank
Hojune Seo100.34
Sangbae Jeong2308.14
Jin-ha Kim332918.78
Seunghun Park47610.05
Minsoo Hahn522346.63