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 language | English |
|---|---|
| Pages (from-to) | 37-39 |
| Number of pages | 3 |
| Journal | Methods of Information in Medicine |
| Volume | 56 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2017 |
Fingerprint
Keywords
- Health self-management
- Pervasive health
- Self-directed therapy
- Self-quantification
ASJC Scopus subject areas
- Health Informatics
- Advanced and Specialised Nursing
- Health Information Management
Cite this
Wearable therapy-detecting information from wearables and mobiles that are relevant to clinical and self-directed therapy. / Arnrich, Bert; Ersoy, Cem; Mayora, Oscar; Dey, Anind; Berthouze, Nadia; Kunze, Kai Steven.
In: Methods of Information in Medicine, Vol. 56, No. 1, 2017, p. 37-39.Research output: Contribution to journal › Editorial
}
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 Steven
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
UR - http://www.scopus.com/inward/record.url?scp=85009343285&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85009343285&partnerID=8YFLogxK
U2 - 10.3414/ME17-14-0001
DO - 10.3414/ME17-14-0001
M3 - Editorial
C2 - 27922656
AN - SCOPUS:85009343285
VL - 56
SP - 37
EP - 39
JO - Methods of Information in Medicine
JF - Methods of Information in Medicine
SN - 0026-1270
IS - 1
ER -