000126504 001__ 126504
000126504 005__ 20241125101132.0
000126504 0247_ $$2doi$$a10.3390/s23115289
000126504 0248_ $$2sideral$$a133993
000126504 037__ $$aART-2023-133993
000126504 041__ $$aeng
000126504 100__ $$0(orcid)0000-0003-4273-5403$$aSánchez, Carlos$$uUniversidad de Zaragoza
000126504 245__ $$aEnhancing safety in hyperbaric environments through analysis of autonomic nervous system responses: a comparison of dry and humid conditions
000126504 260__ $$c2023
000126504 5060_ $$aAccess copy available to the general public$$fUnrestricted
000126504 5203_ $$aDiving can have significant cardiovascular effects on the human body and increase the risk of developing cardiac health issues. This study aimed to investigate the autonomic nervous system (ANS) responses of healthy individuals during simulated dives in hyperbaric chambers and explore the effects of the humid environment on these responses. Electrocardiographic- and heart-rate-variability (HRV)-derived indices were analyzed, and their statistical ranges were compared at different depths during simulated immersions under dry and humid conditions. The results showed that humidity significantly affected the ANS responses of the subjects, leading to reduced parasympathetic activity and increased sympathetic dominance. The power of the high-frequency band of the HRV after removing the influence of respiration, PHF⊥¯, and the number of pairs of successive normal-to-normal intervals that differ by more than 50 ms divided by the total number of normal-to-normal intervals, pNN50¯, indices were found to be the most informative in distinguishing the ANS responses of subjects between the two datasets. Additionally, the statistical ranges of the HRV indices were calculated, and the classification of subjects as “normal” or “abnormal” was determined based on these ranges. The results showed that the ranges were effective at identifying abnormal ANS responses, indicating the potential use of these ranges as a reference for monitoring the activity of divers and avoiding future immersions if many indices are out of the normal ranges. The bagging method was also used to include some variability in the datasets’ ranges, and the classification results showed that the ranges computed without proper bagging represent reality and its associated variability. Overall, this study provides valuable insights into the ANS responses of healthy individuals during simulated dives in hyperbaric chambers and the effects of humidity on these responses.
000126504 536__ $$9info:eu-repo/grantAgreement/ES/UZ/UZCUD2019-TEC-01$$9info:eu-repo/grantAgreement/ES/UZ/CUD2021-03$$9info:eu-repo/grantAgreement/ES/UZ/CUD2020-11$$9info:eu-repo/grantAgreement/ES/UZ/CUD2019-10$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095936-B-I00$$9info:eu-repo/grantAgreement/ES/DGA/T20-20R$$9info:eu-repo/grantAgreement/ES/DGA/LMP94_21$$9info:eu-repo/grantAgreement/ES/DGA/LMP141-21$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group
000126504 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000126504 590__ $$a3.4$$b2023
000126504 592__ $$a0.786$$b2023
000126504 591__ $$aCHEMISTRY, ANALYTICAL$$b34 / 106 = 0.321$$c2023$$dQ2$$eT1
000126504 593__ $$aInstrumentation$$c2023$$dQ1
000126504 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b24 / 76 = 0.316$$c2023$$dQ2$$eT1
000126504 593__ $$aAnalytical Chemistry$$c2023$$dQ1
000126504 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b122 / 353 = 0.346$$c2023$$dQ2$$eT2
000126504 593__ $$aAtomic and Molecular Physics, and Optics$$c2023$$dQ1
000126504 593__ $$aInformation Systems$$c2023$$dQ2
000126504 593__ $$aMedicine (miscellaneous)$$c2023$$dQ2
000126504 593__ $$aBiochemistry$$c2023$$dQ2
000126504 593__ $$aElectrical and Electronic Engineering$$c2023$$dQ2
000126504 594__ $$a7.3$$b2023
000126504 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000126504 700__ $$0(orcid)0000-0003-2596-7237$$aHernando, Alberto
000126504 700__ $$0(orcid)0000-0003-4068-127X$$aBolea, Juan
000126504 700__ $$0(orcid)0000-0002-4746-3139$$aIzquierdo, David$$uUniversidad de Zaragoza
000126504 700__ $$aRodríguez, Germán
000126504 700__ $$aOlea, Agustín
000126504 700__ $$0(orcid)0000-0003-0630-4366$$aLozano, María Teresa
000126504 700__ $$0(orcid)0000-0002-0690-3193$$aPeláez-Coca, María Dolores
000126504 7102_ $$12002$$2385$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Física Aplicada
000126504 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000126504 773__ $$g23, 11 (2023), 5289 [13 pp.]$$pSensors$$tSensors$$x1424-8220
000126504 8564_ $$s2263064$$uhttps://zaguan.unizar.es/record/126504/files/texto_completo.pdf$$yVersión publicada
000126504 8564_ $$s2744699$$uhttps://zaguan.unizar.es/record/126504/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000126504 909CO $$ooai:zaguan.unizar.es:126504$$particulos$$pdriver
000126504 951__ $$a2024-11-22-11:59:19
000126504 980__ $$aARTICLE