Implementing Gamification Techniques To Support Collection Of Longitudinal Kinematic Data For Use In A Clinical Setting

Andrew Ennis; Ian Cleland; Chris Nugent; Laura Finney; David Trainor; Aiden Bennett

Implementing Gamification Techniques To Support Collection Of Longitudinal Kinematic Data For Use In A Clinical Setting

Andrew Ennis
, Ian Cleland
, Chris Nugent
, Laura Finney
, David Trainor
, Aiden Bennett

Invest NI

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

84 Downloads (Pure)

Abstract

It is estimated that 30%-40% of medicalinterventions have no reported evidence base and another 20%of interventions delivered are ineffective, unnecessary, or causeharm. There is therefore a real need to quantitatively assesstreatment effectiveness by providing clinicians with empiricaldata through real-time and longitudinal data collection,combined with data analytics.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE
Number of pages	1
ISBN (Print)	978-1-4577-0220-4
Publication status	Accepted - 23 Jun 2016
Event	The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, Florida, US Duration: 23 Jun 2016 → …

Conference

Conference	The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Period	23/06/16 → …

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Gamification
Accelerometer
Wireless Sensor
Step detection

Access to Document

LeckeyAuthor Accepted Manuscript, 614 KB

http://uir.ulster.ac.uk/36044/1/embc%20leckey.pdf

Cite this

@inproceedings{59c0fec2fdf844f98716d466cd8945a6,

title = "Implementing Gamification Techniques To Support Collection Of Longitudinal Kinematic Data For Use In A Clinical Setting",

abstract = "It is estimated that 30\%-40\% of medicalinterventions have no reported evidence base and another 20\%of interventions delivered are ineffective, unnecessary, or causeharm. There is therefore a real need to quantitatively assesstreatment effectiveness by providing clinicians with empiricaldata through real-time and longitudinal data collection,combined with data analytics.",

keywords = "Gamification, Accelerometer, Wireless Sensor, Step detection",

author = "Andrew Ennis and Ian Cleland and Chris Nugent and Laura Finney and David Trainor and Aiden Bennett",

year = "2016",

month = jun,

day = "23",

language = "English",

isbn = "978-1-4577-0220-4",

booktitle = "Unknown Host Publication",

publisher = "IEEE",

address = "United States",

note = "The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 23-06-2016",

}

Ennis, A , Cleland, I , Nugent, C, Finney, L, Trainor, D & Bennett, A 2016, Implementing Gamification Techniques To Support Collection Of Longitudinal Kinematic Data For Use In A Clinical Setting. in Unknown Host Publication. IEEE, The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 23/06/16. <http://uir.ulster.ac.uk/36044/1/embc%20leckey.pdf>

TY - GEN

T1 - Implementing Gamification Techniques To Support Collection Of Longitudinal Kinematic Data For Use In A Clinical Setting

AU - Ennis, Andrew

AU - Cleland, Ian

AU - Nugent, Chris

AU - Finney, Laura

AU - Trainor, David

AU - Bennett, Aiden

PY - 2016/6/23

Y1 - 2016/6/23

N2 - It is estimated that 30%-40% of medicalinterventions have no reported evidence base and another 20%of interventions delivered are ineffective, unnecessary, or causeharm. There is therefore a real need to quantitatively assesstreatment effectiveness by providing clinicians with empiricaldata through real-time and longitudinal data collection,combined with data analytics.

AB - It is estimated that 30%-40% of medicalinterventions have no reported evidence base and another 20%of interventions delivered are ineffective, unnecessary, or causeharm. There is therefore a real need to quantitatively assesstreatment effectiveness by providing clinicians with empiricaldata through real-time and longitudinal data collection,combined with data analytics.

KW - Gamification

KW - Accelerometer

KW - Wireless Sensor

KW - Step detection

M3 - Conference contribution

SN - 978-1-4577-0220-4

BT - Unknown Host Publication

PB - IEEE

T2 - The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 23 June 2016

ER -

Implementing Gamification Techniques To Support Collection Of Longitudinal Kinematic Data For Use In A Clinical Setting

Abstract

Conference

UN SDGs

Keywords

Access to Document

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Cite this