Output details
11 - Computer Science and Informatics
Glasgow Caledonian University
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Article title
Acoustic analysis and mood classification of pain-relieving music
Type
D - Journal article
Title of journal
Journal of the Acoustical Society of America
Article number
-
Volume number
130
Issue number
3
First page of article
1673
ISSN of journal
0001-4966
Year of publication
2011
URL
-
Number of additional authors
3
Additional information
<29> This paper describes the first research to use advanced audio analysis and machine learning algorithms on music proven to have beneficial effects on pain perception and tolerance. A fully reviewed paper published in JASA, one of the top 3 audio journals internationally. This work involved international collaboration with Laura Mitchell, Bishop’s University, Quebec.
Based on EPSRC funded research led by Don Knox (EP/F00558X/1), the paper sets the agenda for a new technology-based perspective on music used for therapeutic purposes. Its cross-disciplinary impact is reflected by citations in Nursing in Critical Care, and Psychomusiciology: Music, Mind and Brain.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
4
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
