86501 20210820090345.0 doi 10.1088/1361-6579/ab3be0 sideral 112729 ART-2019-112729 eng Hernando, Alberto (orcid)0000-0003-2596-7237 Finger and forehead PPG signal comparison for respiratory rate estimation 2019 Access copy available to the general public Unrestricted Objective: 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. info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095936-B-I00 info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/grantAgreement/ES/UZ/CUD2018-08 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.309 2019 BIOPHYSICS 39 / 71 = 0.549 2019 Q3 T2 PHYSIOLOGY 43 / 81 = 0.531 2019 Q3 T2 ENGINEERING, BIOMEDICAL 49 / 87 = 0.563 2019 Q3 T2 0.702 2019 Biomedical Engineering 2019 Q2 Biophysics 2019 Q2 Physiology 2019 Q3 Physiology (medical) 2019 Q3 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Peláez-Coca, María Dolores (orcid)0000-0002-0690-3193 Lozano, María Teresa (orcid)0000-0003-0630-4366 Lázaro, Jesús Universidad de Zaragoza (orcid)0000-0001-8742-0072 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 40 (2019), 095007 [12 pp.] Physiol. meas. PHYSIOLOGICAL MEASUREMENT 0967-3334 296799 http://zaguan.unizar.es/record/86501/files/texto_completo.pdf Postprint 63466 http://zaguan.unizar.es/record/86501/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:86501 articulos driver 2021-08-20-08:37:35 ARTICLE