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000086501 005__ 20210820090345.0
000086501 0247_ $$2doi$$a10.1088/1361-6579/ab3be0
000086501 0248_ $$2sideral$$a112729
000086501 037__ $$aART-2019-112729
000086501 041__ $$aeng
000086501 100__ $$0(orcid)0000-0003-2596-7237$$aHernando, Alberto
000086501 245__ $$aFinger and forehead PPG signal comparison for respiratory rate estimation
000086501 260__ $$c2019
000086501 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086501 5203_ $$aObjective: an evaluation of the location of the photoplethysmogram (PPG) sensor for respiratory rate estimation is performed. Approach: finger-PPG, forehead-PPG, and respiratory signal were simultaneously recorded from 35 subjects while breathing spontaneously, and during controlled respiration experiments at a constant rate from 0.1 Hz to 0.6 Hz, in 0.1 Hz steps. Four PPG derived respiratory (PDR) signals were extracted from each one of the recorded PPG signals: pulse rate variability (PRV), pulse width variability (PWV), pulse amplitude variability (PAV) and the respiratory- induced intensity variability (RIIV). Respiratory rate was estimated from each one of the 4 PDR signals for both PPG sensor locations. In addition, different combinations of PDR signals, power distribution of the respiratory frequency range and differences of the morphological parameters extracted from both PPG signals have been analysed. Main results: results show a better performance in terms of successful estimation and relative error when: i) PPG signal is recorded in the finger; ii) the respiratory rate is less than 0.4 Hz; iii) RIIV signal is not considered. Furthermore, lower spectral power around the respiratory rate in the PDR signals recorded from the forehead was observed. Significance: these results suggest that respiratory rate estimation is better at lower rates (0.4 Hz and below) and that finger is better than forehead to estimate respiratory rate.
000086501 536__ $$9info:eu-repo/grantAgreement/ES/UZ/CUD2018-08$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095936-B-I00$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
000086501 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000086501 590__ $$a2.309$$b2019
000086501 591__ $$aBIOPHYSICS$$b39 / 71 = 0.549$$c2019$$dQ3$$eT2
000086501 591__ $$aPHYSIOLOGY$$b43 / 81 = 0.531$$c2019$$dQ3$$eT2
000086501 591__ $$aENGINEERING, BIOMEDICAL$$b49 / 87 = 0.563$$c2019$$dQ3$$eT2
000086501 592__ $$a0.702$$b2019
000086501 593__ $$aBiomedical Engineering$$c2019$$dQ2
000086501 593__ $$aBiophysics$$c2019$$dQ2
000086501 593__ $$aPhysiology$$c2019$$dQ3
000086501 593__ $$aPhysiology (medical)$$c2019$$dQ3
000086501 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000086501 700__ $$0(orcid)0000-0002-0690-3193$$aPeláez-Coca, María Dolores
000086501 700__ $$0(orcid)0000-0003-0630-4366$$aLozano, María Teresa
000086501 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro, Jesús$$uUniversidad de Zaragoza
000086501 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000086501 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000086501 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000086501 773__ $$g40 (2019), 095007 [12 pp.]$$pPhysiol. meas.$$tPHYSIOLOGICAL MEASUREMENT$$x0967-3334
000086501 8564_ $$s296799$$uhttps://zaguan.unizar.es/record/86501/files/texto_completo.pdf$$yPostprint
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000086501 951__ $$a2021-08-20-08:37:35
000086501 980__ $$aARTICLE