PATHway: Decision support in exercise programmes for cardiac rehabilitation

Dimitris Filos, Andreas Triantafyllidisa, Ioanna Chouvardaa, Roselien Buys, Véronique Cornelissen, Werner Budts, Deirdre Walsh, Catherine Woods, Kieran Moran, Nicos Maglaverasa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Rehabilitation is important for patients with cardiovascular diseases (CVD) to improve health outcomes and quality of life. However, adherence to current exercise programmes in cardiac rehabilitation is limited. We present the design and development of a Decision Support System (DSS) for telerehabilitation, aiming to enhance exercise programmes for CVD patients through ensuring their safety, personalising the programme according to their needs and performance, and motivating them toward meeting their physical activity goals. The DSS processes data originated from a Microsoft Kinect camera, a blood pressure monitor, a heart rate sensor and questionnaires, in order to generate a highly individualised exercise programme and improve patient adherence. Initial results within the EU-funded PATHway project show the potential of our approach.

Original languageEnglish
Title of host publicationpHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health
EditorsNicos Maglaveras, Electra Gizeli
PublisherIOS Press
Pages40-45
Number of pages6
ISBN (Electronic)9781614996521
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 - Heraklion, Crete, Greece
Duration: 29 May 201631 May 2016

Publication series

NameStudies in Health Technology and Informatics
Volume224
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016
Country/TerritoryGreece
CityHeraklion, Crete
Period29/05/1631/05/16

Keywords

  • Cardiovascular disease
  • Decision support systems
  • Personalised health
  • Telehealth
  • Telerehabilitation

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