Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis
Name
Brown-2010-Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis.pdf
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966.68 KB
Format
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Checksum (MD5)
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Author(s)
Magagnin, Valentina
Mauri, Maurizio
Cipresso, Pietro
Mainardi, Luca
Brown, Emery N.
Cerutti, Sergio
Villamira, Marco
Barbieri, Riccardo
Date Issued
September 2010
Journal
Proceedings of the 2010 Computing in Cardiology conference (CinC 2010)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Magagnin, V. et al. "Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis." Proceedings of the 2010 Computing in Cardiology conference (CinC 2010).
Version
Final published version
Abstract
The study of emotions elicited by human-computer interactions is a promising field that could lead to the identification of specific patterns of affective states. We present a heart rate variability (HRV) assessment of the autonomic nervous system (ANS) response and respiratory sinus arrhythmia during PC-mediated stimuli by means of standard and multivariate autoregressive spectral methods. 35 healthy volunteers were exposed to computer-mediated tasks during data collection. The stimuli were designed to elicit: relaxation (R), engagement (E) and stress (S); half of the subjects were exposed to E before S (RES) while the other to S before E (RSE). HRV measures clearly separate the ANS response among R, S and E. Less significant differences are found between E and S in RSE, suggesting that S stimuli may cause a lasting response affecting the E period. Results from the bivariate analysis indicate a disruption of the cardio-respiratory coupling during non-relax conditions.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5737930
