000169369 001__ 169369
000169369 005__ 20260225105429.0
000169369 0247_ $$2doi$$a10.22489/cinc.2017.281-333
000169369 0248_ $$2sideral$$a148333
000169369 037__ $$aART-2017-148333
000169369 041__ $$aeng
000169369 100__ $$0(orcid)0000-0003-4273-5403$$aSánchez, Carlos
000169369 245__ $$aAutonomic Nervous System Non-stationary Response to Hyperbaric Environments
000169369 260__ $$c2017
000169369 5060_ $$aAccess copy available to the general public$$fUnrestricted
000169369 5203_ $$aAutonomic Nervous System (ANS) controls a number ofbodily functions, such as the heart rate (HR). However, the ANS response is strongly dependent on the surrounding environment. In particular, changes in barometric pressure have important effects on ANS response, but they are difficult to assess in extreme conditions such as a hyperbaric environment. The main goal of this study was to evaluate the dependence of indices related to the ANS response derived from the electrocardiographic signal (ECG) with barometric pressure. In order to do that, a database consisting of ECG recordings of 30 subjects who were introduced into a hyperbaric chamber was used. The analysed indices were derived from the heart rate variability signal: the power of the low-frequency band (PLF : 0.04 - 0.15 Hz), the power of the high-frequency band (PHF : 0.15 - 0.4 Hz), the ratio of instantaneous PLF with respect to the sum of instantaneous PLF and instantaneous PHF , and the ratio of nstantaneous PLF with respect to instantaneous PHF . High inter-subject variability was observed in the results, but significant differences were found in both PLF and PHF when pressure gradually increased to 5 atm (initial phase) and then decreased (final phase) with re-
spect to the baseline. Changes in the power ratios were not so significant in general.
000169369 536__ $$9info:eu-repo/grantAgreement/ES/DGA/Grupo Consolidado BSICoS
000169369 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000169369 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000169369 700__ $$0(orcid)0000-0002-0690-3193$$aPelaez Coca, María Dolores
000169369 700__ $$0(orcid)0000-0003-0630-4366$$aLozano Albalate, María Teresa
000169369 700__ $$0(orcid)0000-0003-2596-7237$$aHernando, Alberto
000169369 700__ $$0(orcid)0000-0002-8953-0600$$aAiger, Montserrat
000169369 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000169369 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000169369 773__ $$g44 (2017), [4 pp.]$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861
000169369 8564_ $$s455543$$uhttps://zaguan.unizar.es/record/169369/files/texto_completo.pdf$$yVersión publicada
000169369 8564_ $$s2619839$$uhttps://zaguan.unizar.es/record/169369/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000169369 909CO $$ooai:zaguan.unizar.es:169369$$particulos$$pdriver
000169369 951__ $$a2026-02-24-14:47:42
000169369 980__ $$aARTICLE