Heart Rate Variability Analysis in Risk of Asthma Stratification

Authors

  • Javier Milagro Biomedical Signal Interpretation and Computational Simulation (BSICoS) Instituto de Investigación en Ingeniería de Aragón (I3A) Universidad de Zaragoza CIBER-BBN: Centro de Investigación Biomédica en Red – Bioingeniería, Biomateriales y Nanomedicina
  • Eduardo Gil Biomedical Signal Interpretation and Computational Simulation (BSICoS) Instituto de Investigación en Ingeniería de Aragón (I3A) Universidad de Zaragoza CIBER-BBN: Centro de Investigación Biomédica en Red – Bioingeniería, Biomateriales y Nanomedicina
  • Jesús Lázaro KU Leuven IMEC, Leuven
  • Ville-Pekka Seppä Tampere University of Technology, Tampere, Finland
  • L. Pekka Malmberg Helsinki University Hospital, Helsinki
  • Anna S. Pelkonen Helsinki University Hospital, Helsinki
  • Anne Kotaniemi-Syrjänen Helsinki University Hospital, Helsinki
  • Mika J. Makelä Helsinki University Hospital, Helsinki
  • Jari Viik Tampere University of Technology, Tampere
  • Raquel Bailón Biomedical Signal Interpretation and Computational Simulation (BSICoS) Instituto de Investigación en Ingeniería de Aragón (I3A) Universidad de Zaragoza CIBER-BBN: Centro de Investigación Biomédica en Red – Bioingeniería, Biomateriales y Nanomedicina

DOI:

https://doi.org/10.26754/jji-i3a.201711971

Abstract

Early diagnosis of asthma is crucial to avoid long-term effects such as permanent airway obstruction. Pathogenesis of asthma has been related with autonomic nervous system (ANS) dysfunction, concretely with abnormal parasympathetic activity. As heart rate variability (HRV) analysis does reflect ANS activity, it has been employed here in risk of asthma stratification.

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Published

2017-06-01

How to Cite

Milagro, J., Gil, E., Lázaro, J., Seppä, V.-P., Pekka Malmberg, L., Pelkonen, A. S., Kotaniemi-Syrjänen, A., Makelä, M. J., Viik, J., & Bailón, R. (2017). Heart Rate Variability Analysis in Risk of Asthma Stratification. Jornada De Jóvenes Investigadores Del I3A, 5(1). https://doi.org/10.26754/jji-i3a.201711971