Wearable therapy-detecting information from wearables and mobiles that are relevant to clinical and self-directed therapy

Bert Arnrich, Cem Ersoy, Oscar Mayora, Anind Dey, Nadia Berthouze, Kai Steven Kunze

Research output: Contribution to journalEditorial

3 Citations (Scopus)

Abstract

Background: This accompanying editorial provides a brief introduction into the focus theme “Wearable Therapy”. Objectives: The focus theme “Wearable Therapy” aims to present contributions which target wearable and mobile technologies to support clinical and self-directed therapy. Methods: A call for papers was announced to all participants of the “9th International Conference on Pervasive Computing Technologies for Healthcare” and was published in November 2015. A peer review process was conducted to select the papers for the focus theme. Results: Six papers were selected to be included in this focus theme. The paper topics cover a broad range including an approach to build a health informatics research program, a comprehensive literature review of self-quantification for health self-management, methods for affective state detection of informal care givers, social-aware handling of falls, smart shoes for supporting selfdirected therapy of alcohol addicts, and reference information model for pervasive health systems. Conclusions: More empirical evidence is needed that confirms sustainable effects of employing wearable and mobile technology for clinical and self-directed therapy. Inconsistencies between different conceptual approaches need to be revealed in order to enable more systematic investigations and comparisons.

Original languageEnglish
Pages (from-to)37-39
Number of pages3
JournalMethods of Information in Medicine
Volume56
Issue number1
DOIs
Publication statusPublished - 2017

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Keywords

  • Health self-management
  • Pervasive health
  • Self-directed therapy
  • Self-quantification

ASJC Scopus subject areas

  • Health Informatics
  • Advanced and Specialised Nursing
  • Health Information Management

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