000095974 001__ 95974
000095974 005__ 20220405150419.0
000095974 0247_ $$2doi$$a10.1109/TBME.2019.2949873
000095974 0248_ $$2sideral$$a116052
000095974 037__ $$aART-2020-116052
000095974 041__ $$aeng
000095974 100__ $$0(orcid)0000-0002-7842-9611$$aMilagro, Javier$$uUniversidad de Zaragoza
000095974 245__ $$aNoninvasive cardiorespiratory signals analysis for asthma evolution monitoring in preschool children
000095974 260__ $$c2020
000095974 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095974 5203_ $$aDespite its increasing prevalence, diagnosis of asthma in children remains problematic due to their difficulties in producing repeatable spirometric maneuvers. Moreover, low adherence to inhaled corticosteroids (ICS) treatment could result in permanent airway remodeling. The growing interest in a
noninvasive and objective way for monitoring asthma, together with the apparent role of autonomic nervous system (ANS) in its pathogenesis, have attracted interest towards heart rate variability (HRV) and cardiorespiratory coupling (CRC) analyses. In this work, HRV and CRC were analyzed in 70 children who were prescribed ICS treatment due to obstructive bronchitis. They underwent three different electrocardiogram and respiratory
signals recordings, during and after treatment period. After treatment completion, they were followed up during 6 months and classified attending to their current asthma status. Vagal activity, as measured from HRV, and CRC, were reduced after treatment in those children at lower risk of asthma, whereas it kept unchanged in those with a worse prognosis. Results suggest that HRV analysis could be useful for the continuous monitoring of ANS anomalies present in asthma, thus contributing to evaluate the evolution of the disease, which is especially challenging in young children.
000095974 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000095974 590__ $$a4.538$$b2020
000095974 591__ $$aENGINEERING, BIOMEDICAL$$b24 / 90 = 0.267$$c2020$$dQ2$$eT1
000095974 592__ $$a1.147$$b2020
000095974 593__ $$aBiomedical Engineering$$c2020$$dQ1
000095974 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000095974 700__ $$aGracia, Javier
000095974 700__ $$aSeppä, Ville-Pekka
000095974 700__ $$aKarjalainen, Jussi
000095974 700__ $$aPaassilta, Marita
000095974 700__ $$aOrini, Michele
000095974 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, Raquel$$uUniversidad de Zaragoza
000095974 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000095974 700__ $$aViik, Jari
000095974 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000095974 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000095974 773__ $$g67, 7 (2020), 1863 - 1871$$pIEEE trans. biomed. eng.$$tIEEE Transactions on Biomedical Engineering$$x0018-9294
000095974 8564_ $$s796201$$uhttps://zaguan.unizar.es/record/95974/files/texto_completo.pdf$$yPostprint
000095974 8564_ $$s14215$$uhttps://zaguan.unizar.es/record/95974/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000095974 909CO $$ooai:zaguan.unizar.es:95974$$particulos$$pdriver
000095974 951__ $$a2022-04-05-14:38:37
000095974 980__ $$aARTICLE