Med fit: A mobile application for patients in CVD recovery

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

doi:10.1145/3132635.3132651

Med fit: A mobile application for patients in CVD recovery

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

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

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 provide motivational 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 features available in the MedFit application and the overall motivation behind the project.

Original language	English
Title of host publication	MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017
Publisher	Association for Computing Machinery, Inc
Pages	93-96
Number of pages	4
ISBN (Electronic)	9781450355049
DOIs	https://doi.org/10.1145/3132635.3132651
Publication status	Published - 23-10-2017
Event	2nd International Workshop on Multimedia for Personal Health and Health Care, MMHealth 2017 - Mountain View, United States Duration: 23-10-2017 → …

Publication series

Name	MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017

Conference

Conference	2nd International Workshop on Multimedia for Personal Health and Health Care, MMHealth 2017
Country/Territory	United States
City	Mountain View
Period	23-10-17 → …

UN SDGs

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

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

General Computer Science
Media Technology
Health Informatics

Access to Document

10.1145/3132635.3132651

Cite this

Kuklyte, J., Gualano, L., Prabhu, G., Venkataraman, K., Walsh, D., Woods, C., Moran, K., & O'Connor, N. E. (2017). Med fit: A mobile application for patients in CVD recovery. In MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017 (pp. 93-96). (MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3132635.3132651

Kuklyte, Jogile ; Gualano, Leonardo ; Prabhu, Ghanashyama et al. / Med fit : A mobile application for patients in CVD recovery. MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017. Association for Computing Machinery, Inc, 2017. pp. 93-96 (MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017).

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title = "Med fit: A mobile application for patients in CVD recovery",

abstract = "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 provide motivational 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 features available in the MedFit application and the overall motivation behind the project.",

author = "Jogile Kuklyte and Leonardo Gualano and Ghanashyama Prabhu and Kaushik Venkataraman and Deirdre Walsh and Catherine Woods and Kieran Moran and O'Connor, \{Noel E.\}",

note = "Funding Information: This work is supported by Science Foundation Ireland (SFI) under the Insight Centre award, Grant Number SFI/12/RC/2289, and AC-QUIS BI, an industrial partner of Insight Centre for Data Analytics, Dublin City University, Ireland. We would like to acknowledge Aaron Duane and Moohamad Hinbarji for their input on certain aspects of the design of the MedFit GUI. Publisher Copyright: {\textcopyright} 2017 Association for Computing Machinery.; 2nd International Workshop on Multimedia for Personal Health and Health Care, MMHealth 2017 ; Conference date: 23-10-2017",

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Kuklyte, J, Gualano, L, Prabhu, G, Venkataraman, K, Walsh, D, Woods, C, Moran, K & O'Connor, NE 2017, Med fit: A mobile application for patients in CVD recovery. in MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017. MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017, Association for Computing Machinery, Inc, pp. 93-96, 2nd International Workshop on Multimedia for Personal Health and Health Care, MMHealth 2017, Mountain View, United States, 23-10-17. https://doi.org/10.1145/3132635.3132651

Med fit: A mobile application for patients in CVD recovery. / Kuklyte, Jogile; Gualano, Leonardo; Prabhu, Ghanashyama et al.
MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017. Association for Computing Machinery, Inc, 2017. p. 93-96 (MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017).

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

TY - GEN

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AU - Kuklyte, Jogile

AU - Gualano, Leonardo

AU - Prabhu, Ghanashyama

AU - Venkataraman, Kaushik

AU - Walsh, Deirdre

AU - Woods, Catherine

AU - Moran, Kieran

AU - O'Connor, Noel E.

N1 - Funding Information: This work is supported by Science Foundation Ireland (SFI) under the Insight Centre award, Grant Number SFI/12/RC/2289, and AC-QUIS BI, an industrial partner of Insight Centre for Data Analytics, Dublin City University, Ireland. We would like to acknowledge Aaron Duane and Moohamad Hinbarji for their input on certain aspects of the design of the MedFit GUI. Publisher Copyright: © 2017 Association for Computing Machinery.

PY - 2017/10/23

Y1 - 2017/10/23

N2 - 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 provide motivational 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 features available in the MedFit application and the overall motivation behind the project.

AB - 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 provide motivational 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 features available in the MedFit application and the overall motivation behind the project.

UR - https://www.scopus.com/pages/publications/85034823532

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DO - 10.1145/3132635.3132651

M3 - Conference contribution

AN - SCOPUS:85034823532

T3 - MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017

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Kuklyte J, Gualano L, Prabhu G, Venkataraman K, Walsh D, Woods C et al. Med fit: A mobile application for patients in CVD recovery. In MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017. Association for Computing Machinery, Inc. 2017. p. 93-96. (MMHealth 2017 - Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, co-located with MM 2017). doi: 10.1145/3132635.3132651

Med fit: A mobile application for patients in CVD recovery

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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