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Classification tree for real-life stress detection using linear Heart Rate Variability analysis. Case study : students under stress due to university examination
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Melillo, Paolo, Formisano, C., Bracale, Umberto and Pecchia, Leandro (2013) Classification tree for real-life stress detection using linear Heart Rate Variability analysis. Case study : students under stress due to university examination. In: Long, Mian, (ed.) World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China. IFMBE Proceedings, Volume 39 . Springer, pp. 477-480. ISBN 9783642293047
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Official URL: http://dx.doi.org/10.1007/978-3-642-29305-4_126
Abstract
Mental stress alters neural cardiovascular regulation, which is reflected by Heart Rate Variability (HRV). Previous studies investigated HRV before an imminent stressing event. In this study we investigated HRV during a stressing event. Moreover we propose a classifier for automatic detection of stress.
We enrolled 42 volunteer healthy students under stress, during an ongoing university examination, and in resting conditions. We analyzed variations in short-term linear HRV measures using a non-parametric statistical technique. Then we applied a non-parametric classification technique, Classification and Regression Tree (CART), to the HRV measures in order to design a classifier for automatic detection of the stress condition.
Eight features over ten varied significantly, showing a general depression of HRV during stress session. The developed classifier achieved sensitivity and specificity rates of 83.33% and 90.48%, using two HRV features: spectral power of all normal-to-normal (NN) intervals between 0.04 and 0.15 Hz (LF) and percentage of differences between adjacent NN intervals that are longer than 50 ms (pNN50).
Item Type: | Book Item | ||||
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Subjects: | Q Science > QP Physiology R Medicine > R Medicine (General) |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Library of Congress Subject Headings (LCSH): | Heart rate monitoring, Stress (Physiology)--Testing | ||||
Series Name: | IFMBE Proceedings | ||||
Publisher: | Springer | ||||
ISBN: | 9783642293047 | ||||
ISSN: | 1680-0737 | ||||
Book Title: | World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012, Beijing, China | ||||
Editor: | Long, Mian | ||||
Official Date: | 2013 | ||||
Dates: |
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Volume: | Volume 39 | ||||
Page Range: | pp. 477-480 | ||||
DOI: | 10.1007/978-3-642-29305-4_126 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Funder: | Università di Napoli. Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione |
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