dc.creator | Naranjo Hernández, David | es |
dc.creator | Reina Tosina, Luis Javier | es |
dc.creator | Roa Romero, Laura María | es |
dc.date.accessioned | 2020-07-07T16:01:21Z | |
dc.date.available | 2020-07-07T16:01:21Z | |
dc.date.issued | 2020-01 | |
dc.identifier.citation | Naranjo 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.issn | EISSN 1424-8220 | es |
dc.identifier.uri | https://hdl.handle.net/11441/98958 | |
dc.description.abstract | Non-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.sponsorship | Ministerio de Economía y Competitividad (Instituto de Salud Carlos III) PI15/00306 | es |
dc.description.sponsorship | Junta de Andalucía PIN-0394-2017 | es |
dc.description.sponsorship | Unión Europea "FRAIL" | es |
dc.format | application/pdf | es |
dc.format.extent | 42 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 20 (2), Article number 365. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Objective pain assessment | es |
dc.subject | Chronic pain | es |
dc.subject | Body sensor networks | es |
dc.subject | Heart rate variability | es |
dc.subject | Accelerometry | es |
dc.subject | Skin conductance | es |
dc.subject | Electromyogram | es |
dc.subject | Image processing | es |
dc.title | Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones | es |
dc.relation.projectID | PI15/00306 | es |
dc.relation.projectID | PIN-0394-2017 | es |
dc.relation.publisherversion | https://doi.org/https://doi.org/10.3390/s20020365 | es |
dc.identifier.doi | https://doi.org/10.3390/s20020365 | es |
dc.contributor.group | Universidad de Sevilla. TIC203: Ingenieria Biomédica | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 20 | es |
dc.publication.issue | 2 | es |
dc.publication.initialPage | Article number 365 | es |
dc.contributor.funder | Instituto de Salud Carlos III | es |
dc.contributor.funder | Junta de Andalucía | es |
dc.contributor.funder | European Commission (EC) | es |