Nocturnal Heart Rate Variability Spectrum Characterization in Preschool Children with Asthmatic Symptoms

Milagro, Javier (Universidad de Zaragoza) ; Gil, Eduardo (Universidad de Zaragoza) ; Lázaro, Jesús (Universidad de Zaragoza) ; Seppä, Ville-Pekka ; Malmberg, L. Pekka ; Pelkonen, Anna S. ; Kotaniemi-Syrjänen, Anne ; Mäkelä, Mika J. ; Viik, Jari ; Bailón, Raquel (Universidad de Zaragoza)

Resumen: 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.

Idioma: Inglés

DOI: 10.1109/JBHI.2017.2775059

Año: 2017

Publicado en: IEEE journal of biomedical and health informatics 22, 5 (2017), 1332-1340
ISSN: 2168-2194

Factor impacto JCR: 3.85 (2017)

Categ. JCR: COMPUTER SCIENCE, INFORMATION SYSTEMS rank: 18 / 148 = 0.122 (2017) - Q1 - T1
Categ. JCR: MATHEMATICAL & COMPUTATIONAL BIOLOGY rank: 6 / 59 = 0.102 (2017) - Q1 - T1
Categ. JCR: MEDICAL INFORMATICS rank: 4 / 25 = 0.16 (2017) - Q1 - T1
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 14 / 105 = 0.133 (2017) - Q1 - T1

Factor impacto SCIMAGO: 0.991 - Biotechnology (Q1) - Health Information Management (Q1) - Electrical and Electronic Engineering (Q1) - Computer Science Applications (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON
Financiación: info:eu-repo/grantAgreement/ES/MINECO/BES-2015-073694
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)