Design and development of the medFit app: A mobile application for cardiovascular disease rehabilitation

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

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

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationWireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Proceedings
EditorsAmir M. Rahmani, Nima TaheriNejad, Paolo Perego
PublisherSpringer Verlag
Pages20-28
Number of pages9
ISBN (Print)9783319985503
DOIs
Publication statusPublished - 2018
Event7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017 - Vienna, Austria
Duration: 14-11-201715-11-2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume247
ISSN (Print)1867-8211

Conference

Conference7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017
Country/TerritoryAustria
CityVienna
Period14-11-1715-11-17

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Design and development of the medFit app: A mobile application for cardiovascular disease rehabilitation'. Together they form a unique fingerprint.

Cite this