Heart Rate Variability Analysis Assessment for Asthma Control Stratification

Milagro, J. (Universidad de Zaragoza) ; Soto, L. ; Giner, J. ; Varon, C. ; Laguna, P. (Universidad de Zaragoza) ; Plaza, V. ; Gil, E. (Universidad de Zaragoza) ; Bailón, R. (Universidad de Zaragoza)

Resumen: Autonomic nervous system (ANS) has been suggested to play a major role in the pathogenesis of asthma. This hypothesis has motivated large research, revealing a reduced modulation of the heart rate in subjects with uncontrolled asthma, when compared to asthmatics with controlled symptomatology. In this work, we assessed ANS activity through heart rate variability analysis in a group of asthmatics classified attending to the control of their symptoms. This information was later used for training a logistic regression classifier aiming at differentiating between the levels of control in asthmatic patients. The accuracy of the classifier improved when including ANS information (71.77%, versus 64.73% when only clinical parameters were considered), suggesting that ANS assessment could contribute to better non-invasive asthma monitoring.

Idioma: Inglés

DOI: 10.23919/CinC49843.2019.9005873

Año: 2019

Publicado en: Computing in Cardiology 46 (2019), [4 pp]
ISSN: 2325-8861

Factor impacto SCIMAGO: 0.296 - Computer Science (miscellaneous) - Cardiology and Cardiovascular Medicine

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/CIBER-BBN
Financiación: info:eu-repo/grantAgreement/ES/MINECO/BES-2015-073694
Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00

Tipo y forma: Article (Published version)

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