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Human emotion characterization by heart rate variability analysis guided by respiration

Author
Valderas, M.; Bolea , J.; Orini, M.; Laguna, P.; Vallverdu, M.; Bailón, R.
Type of activity
Journal article
Journal
IEEE Journal of Biomedical and Health Informatics
Date of publication
2019-01-28
First page
1
Last page
10
DOI
10.1109/JBHI.2019.2895589
Repository
http://hdl.handle.net/2117/135357 Open in new window
URL
https://ieeexplore.ieee.org/document/8627372 Open in new window
Abstract
Developing a tool which identifies emotions based on their effect on cardiac activity may have a potential impact on clinical practice, since it may help in the diagnosing of psycho-neural illnesses. In this study, a method based on the analysis of heart rate variability (HRV) guided by respiration is proposed. The method was based on redefining the high frequency (HF) band, not only to be centered at the respiratory frequency, but also to have a bandwidth dependent on the respiratory spectrum. ...
Citation
Valderas, M. [et al.]. Human emotion characterization by heart rate variability analysis guided by respiration. "IEEE Journal of Biomedical and Health Informatics", 28 Gener 2019, p. 1-10.
Keywords
Bandwidth, Correlation, Frequency estimation, Heart rate variability, Resonant frequency, Videos
Group of research
B2SLab - Bioinformatics and Biomedical Signals Laboratory
CREB - Biomedical Engineering Research Centre

Participants

  • Valderas, Maite  (author)
  • Bolea, Juan  (author)
  • Orini, M  (author)
  • Laguna Lasaosa, Pablo  (author)
  • Vallverdú Ferrer, Montserrat  (author)
  • Bailón Luesma, Raquel  (author)

Attachments