Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/1265
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dc.contributor.authorPombo, Nunoen_US
dc.contributor.authorGarcia, Nunoen_US
dc.contributor.authorBousson, Kouamanaen_US
dc.contributor.authorSpinsante, Susannaen_US
dc.contributor.authorChorbev, Ivanen_US
dc.date.accessioned2019-01-14T12:51:26Z-
dc.date.available2019-01-14T12:51:26Z-
dc.date.issued2016-04-13-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/1265-
dc.description.abstractMobile and web technologies are becoming increasingly used to support the treatment of chronic pain conditions. However, the subjectivity of pain perception makes its management and evaluation very difficult. Pain treatment requires a multi-dimensional approach (e.g., sensory, affective, cognitive) whence the evidence of technology effects across dimensions is lacking. This study aims to describe computerised monitoring systems and to suggest a methodology, based on statistical analysis, to evaluate their effects on pain assessment.en_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofInternational Journal of Environmental Research and Public Healthen_US
dc.titlePain Assessment--Can it be Done with a Computerised System? A Systematic Review and Meta-Analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ijerph13040415-
dc.identifier.urlhttp://www.mdpi.com/1660-4601/13/4/415/pdf-
dc.identifier.volume13-
dc.identifier.issue4-
dc.identifier.fpage415-
item.grantfulltextnone-
item.fulltextNo Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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