About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Pervasive Computing Technologies for Healthcare. 15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings

Research Article

Sensor-Based Measurement of Nociceptive Pain: An Exploratory Study with Healthy Subjects

Download(Requires a free EAI acccount)
2 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-99194-4_7,
        author={Mevludin Memedi and Adriana Miclescu and Lenka Katila and Marianne Claesson and Marie Essermark and Per Holm and Gunnar O. Klein and Jack Spira and Rolf Karlsten},
        title={Sensor-Based Measurement of Nociceptive Pain: An Exploratory Study with Healthy Subjects},
        proceedings={Pervasive Computing Technologies for Healthcare. 15th EAI International Conference, Pervasive Health 2021, Virtual Event, December 6-8, 2021, Proceedings},
        proceedings_a={PERVASIVEHEALTH},
        year={2022},
        month={3},
        keywords={Pain Sensors Physiological data Healthy subjects},
        doi={10.1007/978-3-030-99194-4_7}
    }
    
  • Mevludin Memedi
    Adriana Miclescu
    Lenka Katila
    Marianne Claesson
    Marie Essermark
    Per Holm
    Gunnar O. Klein
    Jack Spira
    Rolf Karlsten
    Year: 2022
    Sensor-Based Measurement of Nociceptive Pain: An Exploratory Study with Healthy Subjects
    PERVASIVEHEALTH
    Springer
    DOI: 10.1007/978-3-030-99194-4_7
Mevludin Memedi1,*, Adriana Miclescu2, Lenka Katila2, Marianne Claesson, Marie Essermark2, Per Holm, Gunnar O. Klein1, Jack Spira, Rolf Karlsten2
  • 1: Informatics
  • 2: Pain Center
*Contact email: mevludin.memedi@oru.se

Abstract

Valid assessment of pain is essential in daily clinical practice to enhance the quality of care for the patients and to avoid the risk of addiction to strong analgesics. The aim of this paper is to find a method for objective and quantitative evaluation of pain using multiple physiological markers. Data was obtained from healthy volunteers exposed to thermal and ischemic stimuli. Twelve subjects were recruited and their physiological data including skin conductance, heart rate, and skin temperature were collected via a wrist-worn sensor together with their self-reported pain on a visual analogue scale (VAS). Statistically significant differences (p < 0.01) were found between physiological scores obtained with the wearable sensor before and during the thermal test. Test-retest reliability of sensor-based measures was good during the thermal test with intraclass correlation coefficients ranging from 0.22 to 0.89. These results support the idea that a multi-sensor wearable device can objectively measure physiological reactions in the subjects due to experimentally induced pain, which could be used for daily clinical practice and as an endpoint in clinical studies. Nevertheless, the results indicate a need for further investigation of the method in real-life pain settings.

Keywords
Pain Sensors Physiological data Healthy subjects
Published
2022-03-23
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-99194-4_7
Copyright © 2021–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL