Pain signaling with physiological data for persons with communication difficulties: A pilot study of the Pain App

Helen Korving, Peter Peters, Emilia Barakova, Loe Feijs, Paula Sterkenburg

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Pain is a common occurrence in life. For some groups of people expressing, communicating, and seeking pain relief is not possible, due to age, illness, disability, or unconsciousness. To support caregivers, pain detection through physiological measures can be a solution. Currently, an algorithm for an application indicating arousal according to electrodermal changes has been developed and tested. Pain is unique to every person, so new research and algorithm development are necessary to assess which measurable signals coincide with pain. A mobile application utilising such algorithms would allow caregivers to better attend to the patients' needs in daily practice. This study aims to develop an application that can signal pain for caregivers of persons with communication difficulties and examine whether utilizing this software solution, pain can be reliably detected in an experimental setting. Visual analysis of plotted results from a pilot study indicates that within the same person pain shows significant deviation from relaxation and neutral experiences. Further research is needed to examine the reliability of pain detection.

Original languageEnglish
Title of host publication2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-66
Number of pages6
ISBN (Electronic)9781728182131
DOIs
Publication statusPublished - 2 Nov 2020
Event11th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2020 - Virtual, Mariehamn, Finland
Duration: 23 Sep 202025 Sep 2020

Conference

Conference11th IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2020
CountryFinland
CityVirtual, Mariehamn
Period23/09/2025/09/20

Keywords

  • Application software
  • Cognitive infocommunication
  • Mobile app
  • Pain
  • Physiological data
  • Skin conductance

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