000084328 001__ 84328
000084328 005__ 20210125144517.0
000084328 0247_ $$2doi$$a10.1109/EMBC.2018.8513188
000084328 0248_ $$2sideral$$a109781
000084328 037__ $$aART-2018-109781
000084328 041__ $$aeng
000084328 100__ $$0(orcid)0000-0001-8742-0072$$aLazaro, J.$$uUniversidad de Zaragoza
000084328 245__ $$aRespiratory Rate Derived from Pulse Photoplethysmographic Signal by Pulse Decomposition Analysis
000084328 260__ $$c2018
000084328 5060_ $$aAccess copy available to the general public$$fUnrestricted
000084328 5203_ $$aA novel technique to derive respiratory rate from pulse photoplethysmographic (PPG) signals is presented. It exploits some morphological features of the PPG pulse that are known to be modulated by respiration: amplitude, slope transit time, and width of the main wave, and time to the first reflected wave. A pulse decomposition analysis technique is proposed to measure these features. This technique allows to decompose the PPG pulse into its main wave and its subsequent reflected waves, improving the robustness against noise and morphological changes that usually occur in long-term recordings. Proposed methods were evaluated with a data base containing PPG and plethysmography-based respiratory signals simultaneously recorded during a paced-breathing experiment. Results suggest that normal ranges of spontaneous respiratory rate (0.1-0.5 Hz) can be accurately estimated (median and interquartile range of relative error less than 5%) from PPG signals by using the studied features.
000084328 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T96-BSICoS$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/ES/ISCIII/CIBER-BBN$$9info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R
000084328 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000084328 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000084328 700__ $$0(orcid)0000-0002-1297-0691$$aKontaxis, S.$$uUniversidad de Zaragoza
000084328 700__ $$0(orcid)0000-0003-1272-0550$$aBailon, R.$$uUniversidad de Zaragoza
000084328 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, P.$$uUniversidad de Zaragoza
000084328 700__ $$0(orcid)0000-0001-7285-0715$$aGil, E.$$uUniversidad de Zaragoza
000084328 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000084328 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000084328 773__ $$g2018-July (2018), 5282-5285$$pConf. proc. (IEEE Eng. Med. Biol. Soc., Conf.)$$tConference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.)$$x1557-170X
000084328 8564_ $$s133700$$uhttps://zaguan.unizar.es/record/84328/files/texto_completo.pdf$$yPostprint
000084328 8564_ $$s136766$$uhttps://zaguan.unizar.es/record/84328/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000084328 909CO $$ooai:zaguan.unizar.es:84328$$particulos$$pdriver
000084328 951__ $$a2021-01-25-14:37:51
000084328 980__ $$aARTICLE