169369 20260225105429.0 doi 10.22489/cinc.2017.281-333 sideral 148333 ART-2017-148333 eng Sánchez, Carlos (orcid)0000-0003-4273-5403 Autonomic Nervous System Non-stationary Response to Hyperbaric Environments 2017 Autonomic 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. Access copy available to the general public Unrestricted info:eu-repo/grantAgreement/ES/DGA/Grupo Consolidado BSICoS info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pelaez Coca, María Dolores (orcid)0000-0002-0690-3193 Lozano Albalate, María Teresa (orcid)0000-0003-0630-4366 Hernando, Alberto (orcid)0000-0003-2596-7237 Aiger, Montserrat (orcid)0000-0002-8953-0600 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 44 (2017), [4 pp.] Comput. cardiol. Computing in Cardiology 2325-8861 455543 http://zaguan.unizar.es/record/169369/files/texto_completo.pdf Versión publicada 2619839 http://zaguan.unizar.es/record/169369/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:169369 articulos driver 2026-02-24-14:47:42 ARTICLE