000153007 001__ 153007
000153007 005__ 20251017144616.0
000153007 0247_ $$2doi$$a10.22489/CinC.2020.308
000153007 0248_ $$2sideral$$a143487
000153007 037__ $$aART-2020-143487
000153007 041__ $$aeng
000153007 100__ $$0(orcid)0000-0003-2596-7237$$aHernando, Alberto
000153007 245__ $$aAutonomic Nervous System Response During Scuba Diving Activity
000153007 260__ $$c2020
000153007 5060_ $$aAccess copy available to the general public$$fUnrestricted
000153007 5203_ $$aIn this work, Heart Rate Variability indices are computed to analyze the Autonomic Nervous System response during a scuba diving activity. To do that, electrocardiogram signals from 6 subjects were recorded in a reservoir immersion. Two different stages were analyzed: baseline stage, where subjects remained seated outside the water; and immersion stage, where subjects performed physical
activity in a non-controlled environment. The smoothed pseudo Wigner-Ville distribution was used for the timefrequency analysis. Results show a statistically significant increase of the mean heart rate and a significant decrease in the root mean square of the successive normal beats during the immersion stage. However, frequencydomain parameters did not show any significant difference
between stages. Whereas time-domain parameters reflect a sympathetic activation during the immersion, caused by the predominance of the physical activity and the stress of the challenging environment, frequency-domain parameters are not able to capture it. Further studies are needed to draw more robust conclusions by increasing the number of subjects and exploring alternative methods to compute the Autonomic Nervous System frequency content.
000153007 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/PGC2018-095936-B-I00$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9info:eu-repo/grantAgreement/ES/UZ/CUD2019-10$$9info:eu-repo/grantAgreement/ES/UZ/UZCUD2019-TEC-01
000153007 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000153007 592__ $$a0.257$$b2020
000153007 593__ $$aComputer Science (miscellaneous)$$c2020
000153007 593__ $$aCardiology and Cardiovascular Medicine$$c2020
000153007 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000153007 700__ $$aDolores Pelaez Coca, María
000153007 700__ $$aSánchez, Carlos
000153007 700__ $$aJuan, Bolea
000153007 700__ $$0(orcid)0000-0002-4746-3139$$aIzquierdo, David
000153007 700__ $$aTeresa Lozano Albalate, María
000153007 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000153007 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000153007 773__ $$g47 (2020), [4 pp.]$$pComput. cardiol.$$tComputing in Cardiology$$x2325-8861
000153007 8564_ $$s344443$$uhttps://zaguan.unizar.es/record/153007/files/texto_completo.pdf$$yPostprint
000153007 8564_ $$s2566147$$uhttps://zaguan.unizar.es/record/153007/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000153007 909CO $$ooai:zaguan.unizar.es:153007$$particulos$$pdriver
000153007 951__ $$a2025-10-17-14:19:36
000153007 980__ $$aARTICLE