56789 20210121082858.0 doi 10.1088/0967-3334/36/11/2317 sideral 91915 ART-2015-91915 eng (orcid)0000-0001-8742-0072 Lázaro Plaza, Jesús Universidad de Zaragoza Respiratory rate derived from smartphone-camera-acquired pulse photoplethysmographic signals 2015 Access copy available to the general public Unrestricted A method for deriving respiratory rate from smartphone-camera-acquired pulse photoplethysmographic (SCPPG) signal is presented. Our method exploits respiratory information by examining the pulse wave velocity and dispersion from the SCPPG waveform and we term these indices as the pulse width variability (PWV). A method to combine information from several derived respiration signals is also presented and it is used to combine PWV information with other methods such as pulse amplitude variability (PAV), pulse rate variability (PRV), and respiration-induced amplitude and frequency modulations (AM and FM) in SCPPG signals Evaluation is performed on a database containing SCPPG signals recorded from 30 subjects during controlled respiration experiments at rates from 0.2 to 0.6 Hz with an increment of 0.1 Hz, using three different devices: iPhone 4S, iPod 5, and HTC One M8. Results suggest that spontaneous respiratory rates (0.2–0.4 Hz) can be estimated from SCPPG signals by the PWV- and PRVbased methods with low relative error (median of order 0.5% and interquartile range of order 2.5%). The accuracy can be improved by combining PWV and PRV with other methods such as PAV, AM and/or FM methods. Combination of these methods yielded low relative error for normal respiratory rates, and Institute of Physics and Engineering in Medicine maintained good performance at higher rates (0.5–0.6 Hz) when using the iPhone 4S or iPod 5 devices. info:eu-repo/grantAgreement/ES/FIS/PI12-00514 info:eu-repo/grantAgreement/ES/MINECO/TIN2013-42140-R info:eu-repo/grantAgreement/ES/MINECO/TEC2013-42140-R info:eu-repo/grantAgreement/ES/UZ/PIFUZ2011-TEC-A-003 info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.576 2015 ENGINEERING, BIOMEDICAL 46 / 76 = 0.605 2015 Q3 T2 PHYSIOLOGY 64 / 83 = 0.771 2015 Q4 T3 BIOPHYSICS 54 / 72 = 0.75 2015 Q3 T3 0.828 2015 Biomedical Engineering 2015 Q2 Physiology (medical) 2015 Q2 Biophysics 2015 Q2 Physiology 2015 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Nam, Yunyoung Gil Herrando, Eduardo Laguna Lasaosa, Pablo Chon, Ki 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 36, 11 (2015), 2317–2333 Physiol. meas. PHYSIOLOGICAL MEASUREMENT 0967-3334 451357 http://zaguan.unizar.es/record/56789/files/texto_completo.pdf Postprint 67030 http://zaguan.unizar.es/record/56789/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:56789 articulos driver 2021-01-21-08:14:29 ARTICLE