| A method for continuously assessing the autonomic response to music-induced emotions through HRV analysis. | |
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MedLine Citation:
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PMID: 20300873 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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Interest in therapeutic applications of music has recently increased, as well as the effort to understand the relationship between music features and physiological patterns. In this study, we present a methodology for characterizing music-induced effects on the dynamics of the heart rate modulation. It consists of three steps: (i) the smoothed pseudo Wigner-Ville distribution is performed to obtain a time-frequency representation of HRV; (ii) a parametric decomposition is used to robustly estimate the time-course of spectral parameters; and (iii) statistical population analysis is used to continuously assess whether different acoustic stimuli provoke different dynamic responses. Seventy-five healthy subjects were repetitively exposed to pleasant music, sequences of Shepard tones with the same tempo as the pleasant music and unpleasant sounds overlaid with the same sequences of Shepard tones. Results show that the modification of HRV parameters are characterized by an early fast transient phase (15-20 s), followed by an almost stationary period. All kinds of stimuli provoked significant changes compared to the resting condition, while during listening to pleasant music the heart and respiratory rates were higher (for more than 80% of the duration of the stimuli, p < 10(-5)) and the power of the HF modulation was lower (for more than 70% of the duration of the stimuli, p < 0.05) than during listening to unpleasant stimuli. |
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Authors:
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Michele Orini; Raquel Bailón; Ronny Enk; Stefan Koelsch; Luca Mainardi; Pablo Laguna |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2010-03-19 |
Journal Detail:
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Title: Medical & biological engineering & computing Volume: 48 ISSN: 1741-0444 ISO Abbreviation: Med Biol Eng Comput Publication Date: 2010 May |
Date Detail:
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Created Date: 2010-04-19 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7704869 Medline TA: Med Biol Eng Comput Country: United States |
Other Details:
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Languages: eng Pagination: 423-33 Citation Subset: IM |
Affiliation:
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Communication Technology Group, Aragón Institute of Engineering Research, University of Zaragoza, M. de Luna 1, 50018, Zaragoza, Spain. michele@unizar.es |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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