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Wearable Therapy - Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy

Arnrich, B; Ersoy, C; Mayora, O; Dey, A; Berthouze, N; Kunze, K; (2016) Wearable Therapy - Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy. [Editorial comment]. Methods of Information in Medicine , 56 (1) pp. 37-39. 10.3414/ME17-14-0001. Green open access

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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 self-directed 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.

Type: Article
Title: Wearable Therapy - Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy
Open access status: An open access version is available from UCL Discovery
DOI: 10.3414/ME17-14-0001
Publisher version: http://doi.org/10.3414/ME17-14-0001
Language: English
Additional information: This article is not an exact copy of the original published article in Methods of Information in Medicine. The definitive publisher-authenticated version of Arnrich, B; Ersoy, C; Mayora, O; Dey, A; Berthouze, N; Kunze, K; (2016) Wearable Therapy - Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy, Methods of Information in Medicine, 56(1), pp. 37-39 is available online at: http://doi.org/10.3414/ME17-14-0001
Keywords: Pervasive health, self-quantification, Self-directed therapy, health self-management
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre
URI: https://discovery.ucl.ac.uk/id/eprint/1560330
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