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

Fingerprint

Technology
Health
Therapeutics
Informatics
Peer Review
Shoes
Self Care
Caregivers
Patient Care
Alcohols
Delivery of Health Care
Research

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 journalEditorial

Arnrich, Bert ; Ersoy, Cem ; Mayora, Oscar ; Dey, Anind ; Berthouze, Nadia ; Kunze, Kai Steven. / Wearable therapy-detecting information from wearables and mobiles that are relevant to clinical and self-directed therapy. In: Methods of Information in Medicine. 2017 ; Vol. 56, No. 1. pp. 37-39.
@article{efd287f75dd64cebb2ca95398f682f51,
title = "Wearable therapy-detecting information from wearables and mobiles that are relevant to clinical and self-directed therapy",
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.",
keywords = "Health self-management, Pervasive health, Self-directed therapy, Self-quantification",
author = "Bert Arnrich and Cem Ersoy and Oscar Mayora and Anind Dey and Nadia Berthouze and Kunze, {Kai Steven}",
year = "2017",
doi = "10.3414/ME17-14-0001",
language = "English",
volume = "56",
pages = "37--39",
journal = "Methods of Information in Medicine",
issn = "0026-1270",
publisher = "Schattauer GmbH",
number = "1",

}

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 -