Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis
Author(s)Magagnin, Valentina; Mauri, Maurizio; Cipresso, Pietro; Mainardi, Luca; Brown, Emery N.; Cerutti, Sergio; Villamira, Marco; Barbieri, Riccardo; ... Show more Show less
DownloadBrown-2010-Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis.pdf (966.6Kb)
MetadataShow full item record
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.
DepartmentHarvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Proceedings of the 2010 Computing in Cardiology conference (CinC 2010)
Institute of Electrical and Electronics Engineers
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).
Final published version
INSPEC Accession Number: 11883641