101182 20210407143739.0 doi 10.1109/EMBC.2019.8856374 sideral 122970 ART-2019-122970 eng (orcid)0000-0002-8334-4786 Perez-Martinez, C. Universidad de Zaragoza Multivariable relationships between autonomic nervous system related indices in hyperbaric environments 2019 Access copy available to the general public Unrestricted The main aim of this work is to model the relationships between parameters extracted from the heart rate variability (HRV) signal, which is derived from the electrocardiogram (ECG), at different stages of a simulated immersion in a hyperbaric chamber. The response of the Autonomic Nervous System is known to be affected by changes in atmospheric pressure, reflected in changes in the HRV signal. A dataset consisting of ECG signals from 17 subjects exposed to a controlled hyperbaric environment, simulating depths from 0 m to 40 m, was used. Both linear and nonlinear dependences of HRV parameters were analysed using linear regression and Mutual Information (entropy-based) techniques. Furthermore, relationships between parameters of the HRV signals, biophysical variables of the subjects, and atmospheric pressure changes were characterized by artificial neural networks. In particular, self-organizing maps (SOM) were trained for modelling and clustering all the data. In the mid-term, these models could be the basis to create predictive models of HRV parameters at high depths in order to increase the safety for divers by warning them if some abnormal body response could be expected just by processing the ECG signal at sea level before immersion. info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00 info:eu-repo/grantAgreement/ES/UZ/CUD2018-08 info:eu-repo/grantAgreement/ES/UZ/UZCUD2017-TEC-04 info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0002-0690-3193 Pelaez-Coca, M.D. (orcid)0000-0003-2596-7237 Hernando, A. (orcid)0000-0001-7285-0715 Gil, E. Universidad de Zaragoza (orcid)0000-0002-8236-825X Sanchez, C. Universidad de Zaragoza 2002 385 Universidad de Zaragoza Dpto. Física Aplicada Área Física Aplicada 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. (2019), 6789-6793 Conf. proc. (IEEE Eng. Med. Biol. Soc., Conf.) Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) 1557-170X 219944 http://zaguan.unizar.es/record/101182/files/texto_completo.pdf Postprint 3442447 http://zaguan.unizar.es/record/101182/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:101182 articulos driver 2021-04-07-12:58:22 ARTICLE