69931 20190709135526.0 doi 10.1109/JBHI.2017.2775059 sideral 103093 ART-2017-103093 eng (orcid)0000-0002-7842-9611 Milagro, Javier Universidad de Zaragoza Nocturnal Heart Rate Variability Spectrum Characterization in Preschool Children with Asthmatic Symptoms 2017 Access copy available to the general public Unrestricted Asthma is a chronic lung disease that usually develops during chilhood. Despite that symptoms can almost be controlled with medication, early diagnosis is desirable in order to reduce permanent airway obstruction risk. It has been suggested that abnormal parasympathetic nervous system (PSNS) activity might be closely related with the pathogenesis of asthma, and that this PSNS activity could be reflected in cardiac vagal control. In this work, an index to measure the spectral regularity of the high frequency (HF) component of heart rate variability (HRV) spectrum, named peakness (P), is proposed. Three different implementations of P, based on electrocardiogram (ECG) recordings, impedance pneumography (IP) recordings and a combination of both, were employed in the characterization of a group of pre-school children classified attending to their risk of developing asthma. Peakier componentswere observed in the HF band of those children classified as high-risk (p < 0.005), who also presented reduced sympathvoagal balance. Results suggest that high-risk of developing asthma might be related with a lack of adaptability of PSNS. info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R info:eu-repo/grantAgreement/ES/MINECO/BES-2015-073694 This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 3.85 2017 COMPUTER SCIENCE, INFORMATION SYSTEMS 18 / 148 = 0.122 2017 Q1 T1 MATHEMATICAL & COMPUTATIONAL BIOLOGY 6 / 59 = 0.102 2017 Q1 T1 MEDICAL INFORMATICS 4 / 25 = 0.16 2017 Q1 T1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 14 / 105 = 0.133 2017 Q1 T1 0.991 2017 Biotechnology 2017 Q1 Health Information Management 2017 Q1 Electrical and Electronic Engineering 2017 Q1 Computer Science Applications 2017 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion (orcid)0000-0001-7285-0715 Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-8742-0072 Lázaro, Jesús Universidad de Zaragoza Seppä, Ville-Pekka Malmberg, L. Pekka Pelkonen, Anna S. Kotaniemi-Syrjänen, Anne Mäkelä, Mika J. Viik, Jari (orcid)0000-0003-1272-0550 Bailón, Raquel Universidad de Zaragoza 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. 22, 5 (2017), 1332-1340 IEEE j. biomed. health inform. IEEE journal of biomedical and health informatics 2168-2194 940159 http://zaguan.unizar.es/record/69931/files/texto_completo.pdf Postprint 128393 http://zaguan.unizar.es/record/69931/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:69931 articulos driver 2019-07-09-11:59:50 ARTICLE