000125294 001__ 125294
000125294 005__ 20241125101151.0
000125294 0247_ $$2doi$$a10.1016/j.compbiomed.2023.106549
000125294 0248_ $$2sideral$$a133057
000125294 037__ $$aART-2023-133057
000125294 041__ $$aeng
000125294 100__ $$aMartín-Montero, A.
000125294 245__ $$aPediatric sleep apnea: characterization of apneic events and sleep stages using heart rate variability
000125294 260__ $$c2023
000125294 5060_ $$aAccess copy available to the general public$$fUnrestricted
000125294 5203_ $$aHeart rate variability (HRV) is modulated by sleep stages and apneic events. Previous studies in children compared classical HRV parameters during sleep stages between obstructive sleep apnea (OSA) and controls. However, HRV-based characterization incorporating both sleep stages and apneic events has not been conducted. Furthermore, recently proposed novel HRV OSA-specific parameters have not been evaluated. Therefore, the aim of this study was to characterize and compare classic and pediatric OSA-specific HRV parameters while including both sleep stages and apneic events. A total of 1610 electrocardiograms from the Childhood Adenotonsillectomy Trial (CHAT) database were split into 10-min segments to extract HRV parameters. Segments were characterized and grouped by sleep stage (wake, W; non-rapid eye movement, NREMS; and REMS) and presence of apneic events (under 1 apneic event per segment, e/s; 1–5 e/s; 5–10 e/s; and over 10 e/s). NREMS showed significant changes in HRV parameters as apneic event frequency increased, which were less marked in REMS. In both NREMS and REMS, power in BW2, a pediatric OSA-specific frequency domain, allowed for the optimal differentiation among segments. Moreover, in the absence of apneic events, another defined band, BWRes, resulted in best differentiation between sleep stages. The clinical usefulness of segment-based HRV characterization was then confirmed by two ensemble-learning models aimed at estimating apnea-hypopnea index and classifying sleep stages, respectively. We surmise that basal sympathetic activity during REMS may mask apneic events-induced sympathetic excitation, thus highlighting the importance of incorporating sleep stages as well as apneic events when evaluating HRV in pediatric OSA.
000125294 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R$$9info:eu-repo/grantAgreement/ES/ISCIII-FEDER/CB19-01-00012$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/PID2021-126734OB-C21$$9info:eu-repo/grantAgreement/ES/MCIU/PRE2018-085219$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2019-028566-I$$9info:eu-repo/grantAgreement/ES/MICIU-FEDER/PDC2021-120775-I00$$9info:eu-repo/grantAgreement/ES/MICIU-FEDER/PID2019-104881RB-I00$$9info:eu-repo/grantAgreement/ES/MICIU-FEDER/PID2020-115468RB-I00
000125294 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000125294 590__ $$a7.0$$b2023
000125294 592__ $$a1.481$$b2023
000125294 591__ $$aBIOLOGY$$b7 / 109 = 0.064$$c2023$$dQ1$$eT1
000125294 593__ $$aHealth Informatics$$c2023$$dQ1
000125294 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b2 / 66 = 0.03$$c2023$$dQ1$$eT1
000125294 593__ $$aComputer Science Applications$$c2023$$dQ1
000125294 591__ $$aENGINEERING, BIOMEDICAL$$b16 / 123 = 0.13$$c2023$$dQ1$$eT1
000125294 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b19 / 170 = 0.112$$c2023$$dQ1$$eT1
000125294 594__ $$a11.7$$b2023
000125294 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000125294 700__ $$aArmañac-Julián, P.$$uUniversidad de Zaragoza
000125294 700__ $$0(orcid)0000-0001-7285-0715$$aGil, E.$$uUniversidad de Zaragoza
000125294 700__ $$aKheirandish-Gozal, L.
000125294 700__ $$aÁlvarez, D.
000125294 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro, J.$$uUniversidad de Zaragoza
000125294 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, R.$$uUniversidad de Zaragoza
000125294 700__ $$aGozal, D.
000125294 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, P.$$uUniversidad de Zaragoza
000125294 700__ $$aHornero, R.
000125294 700__ $$aGutiérrez-Tobal, G. C.
000125294 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000125294 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000125294 773__ $$g154 (2023), 106549 [14 pp.]$$pComput. biol. med.$$tComputers in biology and medicine$$x0010-4825
000125294 8564_ $$s5725462$$uhttps://zaguan.unizar.es/record/125294/files/texto_completo.pdf$$yVersión publicada
000125294 8564_ $$s2515824$$uhttps://zaguan.unizar.es/record/125294/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
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000125294 951__ $$a2024-11-22-12:06:46
000125294 980__ $$aARTICLE