Noninvasive cardiorespiratory signals analysis for asthma evolution monitoring in preschool children
Resumen: Despite 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.

Idioma: Inglés
DOI: 10.1109/TBME.2019.2949873
Año: 2020
Publicado en: IEEE Transactions on Biomedical Engineering 67, 7 (2020), 1863 - 1871
ISSN: 0018-9294

Factor impacto JCR: 4.538 (2020)
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 24 / 90 = 0.267 (2020) - Q2 - T1
Factor impacto SCIMAGO: 1.147 - Biomedical Engineering (Q1)

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


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