Filos, Dimitris ORCID: 0000-0001-5613-652X, Triantafyllidis, Andreas ORCID: 0000-0002-6938-8256, Chouvarda, Ioanna, Buys, Roselien, Cornelissen, Véronique ORCID: 0000-0002-0578-4954, Budts, Werner, Walsh, Deirdre ORCID: 0000-0003-4255-299X, Woods, Catherine ORCID: 0000-0002-0892-6591, Moran, Kieran ORCID: 0000-0003-2015-8967 and Maglaveras, Nicos (2016) PATHway: decision support in exercise programmes for cardiac rehabilitation. Studies in Health Technology and Informatics, 224 . pp. 40-45. ISSN 0926-9630
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.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Telerehabilitation; Telehealth; Decision Support Systems; Cardiovascular Disease; Personalised Health |
Subjects: | Medical Sciences > Health |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance Research Institutes and Centres > INSIGHT Centre for Data Analytics |
Publisher: | IOS Press |
Official URL: | http://dx.doi.org/10.3233/978-1-61499-653-8-40 |
Copyright Information: | © 2016 IOS Press ebooks.iospress.nl |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 21290 |
Deposited On: | 29 Jul 2016 09:58 by Giulia Migliorato . Last Modified 28 Nov 2022 15:49 |
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