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Sensor Technologies to Manage the Physiological Traits of Chronic Pain: A Review

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  • معلومة اضافية
    • Contributors:
      Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones; Universidad de Sevilla. TIC203: Ingenieria Biomédica; Instituto de Salud Carlos III; Junta de Andalucía; European Commission (EC)
    • بيانات النشر:
      MDPI
    • الموضوع:
      2020
    • Collection:
      idUS - Deposito de Investigación Universidad de Sevilla
    • نبذة مختصرة :
      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. ; Ministerio de Economía y Competitividad (Instituto de Salud Carlos III) PI15/00306 ; Junta de Andalucía PIN-0394-2017 ; Unión Europea "FRAIL"
    • Relation:
      Sensors, 20 (2), Article number 365.; PI15/00306; PIN-0394-2017; https://doi.org/https://doi.org/10.3390/s20020365; https://idus.us.es/handle//11441/98958
    • الدخول الالكتروني :
      https://idus.us.es/handle//11441/98958
    • Rights:
      Attribution-NonCommercial-NoDerivatives 4.0 Internacional ; http://creativecommons.org/licenses/by-nc-nd/4.0/ ; info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.CE713975