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dc.creatorNaranjo Hernández, Davides
dc.creatorReina Tosina, Luis Javieres
dc.creatorRoa Romero, Laura Maríaes
dc.date.accessioned2020-07-07T16:01:21Z
dc.date.available2020-07-07T16:01:21Z
dc.date.issued2020-01
dc.identifier.citationNaranjo Hernández, D., Reina Tosina, L.J. y Roa Romero, L.M. (2020). Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review. Sensors, 20 (2), Article number 365.
dc.identifier.issnEISSN 1424-8220es
dc.identifier.urihttps://hdl.handle.net/11441/98958
dc.description.abstractNon-oncologic chronic pain is a common high-morbidity impairment worldwide and acknowledged as a condition with significant incidence on quality of life. Pain intensity is largely perceived as a subjective experience, what makes challenging its objective measurement. However, the physiological traces of pain make possible its correlation with vital signs, such as heart rate variability, skin conductance, electromyogram, etc., or health performance metrics derived from daily activity monitoring or facial expressions, which can be acquired with diverse sensor technologies and multisensory approaches. As the assessment and management of pain are essential issues for a wide range of clinical disorders and treatments, this paper reviews different sensor-based approaches applied to the objective evaluation of non-oncological chronic pain. The space of available technologies and resources aimed at pain assessment represent a diversified set of alternatives that can be exploited to address the multidimensional nature of pain.es
dc.description.sponsorshipMinisterio de Economía y Competitividad (Instituto de Salud Carlos III) PI15/00306es
dc.description.sponsorshipJunta de Andalucía PIN-0394-2017es
dc.description.sponsorshipUnión Europea "FRAIL"es
dc.formatapplication/pdfes
dc.format.extent42 p.es
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofSensors, 20 (2), Article number 365.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectObjective pain assessmentes
dc.subjectChronic paines
dc.subjectBody sensor networkses
dc.subjectHeart rate variabilityes
dc.subjectAccelerometryes
dc.subjectSkin conductancees
dc.subjectElectromyogrames
dc.subjectImage processinges
dc.titleSensor Technologies to Manage the Physiological Traits of Chronic Pain: A Reviewes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Teoría de la Señal y Comunicacioneses
dc.relation.projectIDPI15/00306es
dc.relation.projectIDPIN-0394-2017es
dc.relation.publisherversionhttps://doi.org/https://doi.org/10.3390/s20020365es
dc.identifier.doihttps://doi.org/10.3390/s20020365es
dc.contributor.groupUniversidad de Sevilla. TIC203: Ingenieria Biomédicaes
dc.journaltitleSensorses
dc.publication.volumen20es
dc.publication.issue2es
dc.publication.initialPageArticle number 365es
dc.contributor.funderInstituto de Salud Carlos IIIes
dc.contributor.funderJunta de Andalucíaes
dc.contributor.funderEuropean Commission (EC)es

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