Dawes, Thomas Richard, Eden-Green, Ben, Rosten, Claire, Giles, Julian, Governo, Ricardo, Marcelline, Francesca and Nduka, Charles (2018) Objectively measuring pain using facial expression: is the technology finally ready? Pain Management, 8 (2). ISSN 1758-1869
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Abstract
Currently clinicians observe pain-related behaviours and use patient self-report measures in order to determine pain severity. This paper reviews the evidence when facial expression is used as a measure of pain. We review the literature reporting the relevance of facial expression as a diagnostic measure, which facial movements are indicative of pain, and whether such movements can be reliably used to measure pain. We conclude that although the technology for objective pain measurement is not yet ready for use in clinical settings, the potential benefits to patients in improved pain management, combined with the advances being made in sensor technology and artificial intelligence, provide opportunities for research and innovation.
Item Type: | Article |
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Keywords: | Pain; Objective measure; Automatic; Facial expression; Computer-image analysis; Electromyography |
Schools and Departments: | Brighton and Sussex Medical School > Brighton and Sussex Medical School |
Subjects: | R Medicine > R Medicine (General) > R855 Medical technology R Medicine > R Medicine (General) > R858 Computer applications to medicine. Medical informatics |
Depositing User: | Ricardo Governo |
Date Deposited: | 26 Jan 2018 11:02 |
Last Modified: | 13 Apr 2018 14:06 |
URI: | http://srodev.sussex.ac.uk/id/eprint/73147 |
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