Design and development of the MedFit App: a mobile application for cardiovascular disease rehabilitation
Prabhu, GhanashyamaORCID: 0000-0003-2836-9734, Kuklyte, Jogile, Gualano, Leonardo, Venkataraman, Kaushik, Ahmadi, Amin, Duff, Orlaith, Walsh, DeirdreORCID: 0000-0003-4255-299X, Woods, CatherineORCID: 0000-0002-0892-6591, O'Connor, Noel E.ORCID: 0000-0002-4033-9135 and Moran, KieranORCID: 0000-0003-2015-8967
(2017)
Design and development of the MedFit App: a mobile application for cardiovascular disease rehabilitation.
In: MobiHealth 2017 – 7th EAI International Conference on Wireless Mobile Communication and Healthcare, 14-16 Nov 2017, Vienna, Austria.
ISBN 978-3-319-98550-3
Rehabilitation from cardiovascular disease (CVD) usually requires lifestyle changes, especially an increase in exercise and physical activity. However, uptake and adherence to exercise is low for community based programmes. We propose a mobile application that allows users to choose the type of exercise and compete it at a convenient time in the comfort of their own home. Grounded in a behaviour change framework, the application provides feedback and encouragement to continue exercising and to improve on previous results. The application also utilizes wearable wireless technologies in order to provide highly personalized feedback. The application can accurately detect if a specic exercise is being done, and count the associated number of repetitions utilizing accelerometer or gyroscope signalsMachine learning models are employed to recognize individual local muscular endurance (LME) exercises, achieving overall accuracy of more than 98%. This technology allows providing a near real-time personalized feedback which mimics the feedback that the user might expect from an instructor. This is provided to motivate
users to continue the recovery process.
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Cardiovascular disease; Mobile Application; Support Vector Machine; Wearable Sensors; Repetition Counting
Wireless Mobile Communication and Healthcare. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
.
Springer. The original publication is available at www.springerlink.com. ISBN 978-3-319-98550-3
Publisher:
Springer. The original publication is available at www.springerlink.com