The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects' HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients'subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness. © 2010 Federation of European Psychophysiology Societies

Riganello, F., Candelieri, A., Quintieri, M., Dolce, G. (2010). Heart rate variability, emotions, and music. JOURNAL OF PSYCHOPHYSIOLOGY, 24(2), 112-119 [10.1027/0269-8803/a000021].

Heart rate variability, emotions, and music

Candelieri, A;
2010

Abstract

The purpose of the study was to identify significant changes in heart rate variability (an emerging descriptor of emotional conditions; HRV) concomitant to complex auditory stimuli with emotional value (music). In healthy controls, traumatic brain injured (TBI) patients, and subjects in the vegetative state (VS) the heart beat was continuously recorded while the subjects were passively listening to each of four music samples of different authorship. The heart rate (parametric and nonparametric) frequency spectra were computed and the spectra descriptors were processed by data-mining procedures. Data-mining sorted the nu_lf (normalized parameter unit of the spectrum low frequency range) as the significant descriptor by which the healthy controls, TBI patients, and VS subjects' HRV responses to music could be clustered in classes matching those defined by the controls and TBI patients'subjective reports. These findings promote the potential for HRV to reflect complex emotional stimuli and suggest that residual emotional reactions continue to occur in VS. HRV descriptors and data-mining appear applicable in brain function research in the absence of consciousness. © 2010 Federation of European Psychophysiology Societies
Articolo in rivista - Articolo scientifico
Artificial intelligence; Data mining; Emotions; Healthy controls; Heart rate variability; HRV; Music; Traumatic brain injury; Vegetative state; Neuroscience (all); Neuropsychology and Physiological Psychology; Physiology
English
2010
24
2
112
119
none
Riganello, F., Candelieri, A., Quintieri, M., Dolce, G. (2010). Heart rate variability, emotions, and music. JOURNAL OF PSYCHOPHYSIOLOGY, 24(2), 112-119 [10.1027/0269-8803/a000021].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/207595
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