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MedFit: a Mobile Application for Recovering CVD Patients


Jogile Kuklyte, Leonardo Gualano, Ghanashyama Prabhu, Kaushik Venkataraman, Deirdre Walsh, Catherine Woods, Kieran Moran, Noel O'Connor

Publication Type: 
Refereed Conference Meeting Proceeding
The third phase of the recovery from cardiovascular disease (CVD) is an exercise-based rehabilitation programme. However, adherence to an exercise regime is typically not maintained by the patient for a variety of reasons such as lack of time, financial constraints, etc. In order to facilitate patients to perform their exercises from the comfort of their home and at their own convenience, we have developed a mobile application, termed MedFit. It provides access to a tailored suite of exercises along with easy to understand guidance from audio and video instructions. Two types of wearable sensors are utilized to allow motivational feedback to be provided to the user for self monitoring and to provide near real-time feedback. Fitbit, a commercially available activity and fitness tracker, is used to provide in-depth feedback for self-monitoring over longer periods of time (e.g. day, week, month), whereas the Shimmer wireless sensing platform provides the data for near real-time feedback on the quality of the exercises performed. MedFit is a simple and intuitive mobile application designed to provide the motivation and tools for patients to help ensure faster recovery from the trauma caused by CVD. In this paper we describe the MedFit application as a demo submission to the 2nd MMHealth Workshop at ACM MM 2017.
Conference Name: 
Second International Workshop on Multimedia for personal health and healthcare
Proceedings of ACM Multimedia MMHealth Workshop, Mountaint View, USA, October 2017 (ACM MM’17 MMHealth)
Digital Object Identifer (DOI): 
Publication Date: 
Conference Location: 
United States of America
Research Group: 
Dublin City University (DCU)
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