DocumentCode :
561919
Title :
Deriving respiration from the pulse photoplethysmographic signal
Author :
Lázaro, Jesús ; Gil, Eduardo ; Bailón, Raquel ; Laguna, Pablo
Author_Institution :
Aragon Inst. for Eng. Res. (DA), Univ. of Zaragoza, Zaragoza, Spain
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
713
Lastpage :
716
Abstract :
A method for respiratory signal estimation from the pulse photoplethysmographic (PPG) signal is presented. The method is based on combination of three parameters present in this signal: pulse rate variability, pulse amplitude variability and pulse width variability. Evaluation is performed over a database containing electrocardiographic (ECG), PPG and respiratory signals simultaneously recorded in 17 subjects during a tilt table test, obtaining a respiratory rate estimation error of -0.26±7.30% (-2.11±14.49 mHz). These results are comparable or outperform those obtained from other methods which involve the ECG, so it is possible to have reliable respiration estimates from just the PPG.
Keywords :
cardiovascular system; electrocardiography; medical signal processing; photoplethysmography; ECG; electrocardiographic signals; pulse amplitude variability; pulse photoplethysmographic signal; pulse rate variability; pulse width variability; respiration derivation; respiratory rate estimation error; respiratory signal estimation; tilt table testing; Databases; Electrocardiography; Estimation; Frequency estimation; Sleep apnea; Spectral analysis; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology, 2011
Conference_Location :
Hangzhou
ISSN :
0276-6547
Print_ISBN :
978-1-4577-0612-7
Type :
conf
Filename :
6164665
Link To Document :
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