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2018 | OriginalPaper | Chapter

Design and Development of the MedFit App: A Mobile Application for Cardiovascular Disease Rehabilitation

Authors : Ghanashyama Prabhu, Jogile Kuklyte, Leonardo Gualano, Kaushik Venkataraman, Amin Ahmadi, Orlaith Duff, Deirdre Walsh, Catherine Woods, Noel E. O’Connor, Kieran Moran

Published in: Wireless Mobile Communication and Healthcare

Publisher: Springer International Publishing

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Abstract

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 specific exercise is being done, and count the associated number of repetitions utilizing accelerometer or gyroscope signals Machine 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.

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Metadata
Title
Design and Development of the MedFit App: A Mobile Application for Cardiovascular Disease Rehabilitation
Authors
Ghanashyama Prabhu
Jogile Kuklyte
Leonardo Gualano
Kaushik Venkataraman
Amin Ahmadi
Orlaith Duff
Deirdre Walsh
Catherine Woods
Noel E. O’Connor
Kieran Moran
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-98551-0_3

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