mHealth through quantified-self: a user study

Chonlatee Khorakhun; Saleem N. Bhatti

doi:10.1109/HealthCom.2015.7454520

mHealth through quantified-self: a user study

Chonlatee Khorakhun^*, Saleem N. Bhatti

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	2015 17th International Conference on E-health Networking, Application & Services (HealthCom)
Publisher	IEEE
Pages	329-335
Number of pages	7
ISBN (Electronic)	9781467383257
DOIs	https://doi.org/10.1109/HealthCom.2015.7454520
Publication status	Published - 1 Oct 2015
Event	17th International Conference on E-health Networking, Application & Services (HealthCom) - Boston, United States Duration: 13 Oct 2015 → 17 Oct 2015 Conference number: 17 http://www.ieee-healthcom.org/2015/

Conference

Conference	17th International Conference on E-health Networking, Application & Services (HealthCom)
Abbreviated title	HealthCom
Country/Territory	United States
City	Boston
Period	13/10/15 → 17/10/15
Internet address	http://www.ieee-healthcom.org/2015/

Keywords

Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/HealthCom.2015.7454520

Khorakhun_2015_mHealth_healthcom_AAM
© 2015, IEEE. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at ieeexplore.ieee.org / https://dx.doi.org/10.1109/HealthCom.2015.7454520
Accepted author manuscript, 2.54 MB

https://saleem.host.cs.st-andrews.ac.uk/publications/2015/healthcom2015/healthcom2015-kb2015.pdf

Cite this

@inproceedings{98d8fee9a29043c2bb4cd40e1e743f37,

title = "mHealth through quantified-self: a user study",

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.",

keywords = "Health",

author = "Chonlatee Khorakhun and Bhatti, {Saleem N.}",

note = "This work was partly supported by the IU-ATC project, funded by grant EP/J016756/1 from the Engineering and Physical Sciences Research Council (EPSRC). Chonlatee Khorakhun is funded by the Scottish Informatics and Computer Science Alliance (SICSA).; 17th International Conference on E-health Networking, Application & Services (HealthCom), HealthCom ; Conference date: 13-10-2015 Through 17-10-2015",

year = "2015",

month = oct,

day = "1",

doi = "10.1109/HealthCom.2015.7454520",

language = "English",

pages = "329--335",

booktitle = "2015 17th International Conference on E-health Networking, Application & Services (HealthCom)",

publisher = "IEEE",

url = "http://www.ieee-healthcom.org/2015/",

}

TY - GEN

T1 - mHealth through quantified-self

T2 - 17th International Conference on E-health Networking, Application & Services (HealthCom)

AU - Khorakhun, Chonlatee

AU - Bhatti, Saleem N.

N1 - Conference code: 17

PY - 2015/10/1

Y1 - 2015/10/1

N2 - 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.

AB - 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.

KW - Health

UR - http://saleem.host.cs.st-andrews.ac.uk/publications/2015/healthcom2015/healthcom2015-kb2015.pdf

U2 - 10.1109/HealthCom.2015.7454520

DO - 10.1109/HealthCom.2015.7454520

M3 - Conference contribution

SP - 329

EP - 335

BT - 2015 17th International Conference on E-health Networking, Application & Services (HealthCom)

PB - IEEE

Y2 - 13 October 2015 through 17 October 2015

ER -

mHealth through quantified-self: a user study

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

IU-ATC Phase 2: IU ATC Phase 2

Cite this

mHealth through quantified-self: a user study

Abstract

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

IU-ATC Phase 2: IU ATC Phase 2

Cite this