DocumentCode :
169952
Title :
Smartphone-camera-acquired pulse photoplethysmographic signal for deriving respiratory rate
Author :
Lazaro, J. ; Yunyoung Nam ; Gil, Esteban ; Laguna, P. ; Chon, Ki H.
Author_Institution :
BSICoS Group, Univ. of Zaragoza, Zaragoza, Spain
fYear :
2014
fDate :
25-28 May 2014
Firstpage :
121
Lastpage :
122
Abstract :
A method for deriving respiratory rate from smartphone-camera-acquired pulse photoplethysmographic (SCPPG) signal is presented. It combines information from three derived respiration signals based on pulse width, amplitude, and rate variability (PWV, PAV, and PRV). Evaluation is performed over a database containing SCPPG signals recorded from 10 healthy subjects during controlled respiration experiments at rates from 0.2 to 0.6 Hz with a step of 0.1 Hz, using iPhone 4S device. Results suggest that habitual spontaneous respiratory rates (0.2-0.4 Hz) can be estimated from SCPPG signals by PWV and by PRV with low relative error (median of order 0.5% and IQR of order 2%). PWV method maintained its performance at rates up to 0.5 Hz, and the accuracy can be improved by combining it with other methods such as PRV and PAV.
Keywords :
cameras; medical signal processing; photoplethysmography; pneumodynamics; smart phones; PAV methods; PRV methods; PWV method; SCPPG signal recording; frequency 0.2 Hz to 0.6 Hz; habitual spontaneous respiratory rates; iPhone 4S device; pulse amplitude; pulse rate variability; pulse width; respiration signals; smartphone-camera-acquired pulse photoplethysmographic signal; Cutoff frequency; Databases; Estimation; Europe; Modulation; Oscillators; Performance evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
Conference_Location :
Trento
Type :
conf
DOI :
10.1109/ESGCO.2014.6847549
Filename :
6847549
Link To Document :
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