000150011 001__ 150011
000150011 005__ 20250130182919.0
000150011 0247_ $$2doi$$a10.1109/JBHI.2020.3020743
000150011 0248_ $$2sideral$$a119028
000150011 037__ $$aART-2021-119028
000150011 041__ $$aeng
000150011 100__ $$0(orcid)0000-0002-0690-3193$$aPeláez-Coca, Mª Dolores
000150011 245__ $$aPhotoplethysmographic Waveform and Pulse Rate Variability Analysis in Hyperbaric Environments
000150011 260__ $$c2021
000150011 5060_ $$aAccess copy available to the general public$$fUnrestricted
000150011 5203_ $$aThe main aim of this work is to identify alterations in the morphology of the pulse photoplethysmogram (PPG) signal, due to the exposure of the subjects to a hyperbaric environment. Additionally, their Pulse Rate Variability (PRV) is analysed to characterise the response of their Autonomic Nervous System (ANS). To do that, 28 volunteers are introduced into a hyperbaric chamber and five sequential stages with different atmospheric pressures (1 atm; descent to 3 and 5 atm; ascent to 3 and 1 atm) are performed. In this work, nineteen morphological parameters of the PPG signal are analysed: the amplitude of the PPG pulse; eight parameters related to pulse width; eight parameters related to pulse area; and the two slopes of the PPG pulse. Also, classical time and frequency parameters of PRV are computed. The relative change of all the parameters was calculated with respect to the initial baseline state at 1 atm. Notable widening of the pulses width is observed in the four stages analysed, together with a decrease in the PPG amplitude at the last ascent stages. The PPG area increases with pressure, with no significant changes when the initial pressure is recovered. These changes in PPG waveform may be caused by an increase in the systemic vascular resistance as a consequence of vasoconstriction. This phenomenon suggests a sympathetic activation, causing a vasoconstriction in the skin circulation, especially in the extremities. However, the PRV results show an augmented parasympathetic activity and a reduction in the parameters that characterise the sympathetic response. So, only a sympathetic activation is detected in the peripheral region, as reflected by PPG morphology.
The information regarding the ANS and the cardiovascular response that can be extracted from the PPG signal, as well as its compatibility with wet conditions make this signal the most suitable for studying the physiological response in hyperbaric environments, including scuba diving activities.
000150011 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group$$9info:eu-repo/grantAgreement/ES/DGA/T20-20R$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095936-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9info:eu-repo/grantAgreement/ES/UZ/UZCUD2019-TEC-01
000150011 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000150011 590__ $$a7.021$$b2021
000150011 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b4 / 57 = 0.07$$c2021$$dQ1$$eT1
000150011 591__ $$aMEDICAL INFORMATICS$$b7 / 31 = 0.226$$c2021$$dQ1$$eT1
000150011 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b21 / 112 = 0.188$$c2021$$dQ1$$eT1
000150011 591__ $$aCOMPUTER SCIENCE, INFORMATION SYSTEMS$$b23 / 163 = 0.141$$c2021$$dQ1$$eT1
000150011 592__ $$a1.799$$b2021
000150011 593__ $$aBiotechnology$$c2021$$dQ1
000150011 593__ $$aHealth Information Management$$c2021$$dQ1
000150011 593__ $$aComputer Science Applications$$c2021$$dQ1
000150011 594__ $$a10.9$$b2021
000150011 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000150011 700__ $$0(orcid)0000-0003-2596-7237$$aHernando, Alberto
000150011 700__ $$0(orcid)0000-0003-0630-4366$$aLozano, Mª Teresa
000150011 700__ $$0(orcid)0000-0003-4273-5403$$aSánchez, Carlos$$uUniversidad de Zaragoza
000150011 700__ $$0(orcid)0000-0002-4746-3139$$aIzquierdo, David
000150011 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000150011 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000150011 773__ $$g25, 5 (2021), 1550-1560$$pIEEE j. biomed. health inform.$$tIEEE journal of biomedical and health informatics$$x2168-2194
000150011 8564_ $$s339784$$uhttps://zaguan.unizar.es/record/150011/files/texto_completo.pdf$$yPostprint
000150011 8564_ $$s3703098$$uhttps://zaguan.unizar.es/record/150011/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000150011 909CO $$ooai:zaguan.unizar.es:150011$$particulos$$pdriver
000150011 951__ $$a2025-01-30-16:17:22
000150011 980__ $$aARTICLE