mHealth through quantified-self: a user study

Chonlatee Khorakhun*, Saleem N. Bhatti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We describe a user study of a mHealth prototype system based on a wellbeing scenario, exploiting the quantified-self approach to measurement and monitoring. We have used off-the-shelf equipment, with opensource, web-based, software, and exploiting the increasing popularity of smartphones and self-measurement devices in a user study. We emulate a mHealth scenario as a pre-clinical experiment, as a realistic alternative to a clinical scenario, with reduced risk to sensitive patient medical data. We discuss the efficacy of this approach for future mHealth systems for remote monitoring. Our system used the popular Fitbit device for monitoring personal wellbeing data, the Diaspora online social media platform (OSMP), and a simple Android/iOS remote notification application. We implemented remote monitoring, asynchronous user interaction, multiple actors, and user-controlled security and privacy mechanisms. We propose that the use of a quantified-self approach to mHealth is particularly valuable to undertake research and systems development.

Original languageEnglish
Title of host publication2015 17th International Conference on E-health Networking, Application & Services (HealthCom)
PublisherIEEE
Pages329-335
Number of pages7
ISBN (Electronic)9781467383257
DOIs
Publication statusPublished - 1 Oct 2015
Event17th International Conference on E-health Networking, Application & Services (HealthCom) - Boston, United States
Duration: 13 Oct 201517 Oct 2015
Conference number: 17
http://www.ieee-healthcom.org/2015/

Conference

Conference17th International Conference on E-health Networking, Application & Services (HealthCom)
Abbreviated titleHealthCom
Country/TerritoryUnited States
CityBoston
Period13/10/1517/10/15
Internet address

Keywords

  • Health

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