TY - JOUR
T1 - Wearable therapy-detecting information from wearables and mobiles that are relevant to clinical and self-directed therapy
AU - Arnrich, Bert
AU - Ersoy, Cem
AU - Mayora, Oscar
AU - Dey, Anind
AU - Berthouze, Nadia
AU - Kunze, Kai
N1 - Publisher Copyright:
© Schattauer 2017.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Health self-management
KW - Pervasive health
KW - Self-directed therapy
KW - Self-quantification
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U2 - 10.3414/ME17-14-0001
DO - 10.3414/ME17-14-0001
M3 - Editorial
C2 - 27922656
AN - SCOPUS:85009343285
SN - 0026-1270
VL - 56
SP - 37
EP - 39
JO - Methods of Information in Medicine
JF - Methods of Information in Medicine
IS - 1
ER -