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

doi:10.3233/978-1-61499-653-8-40

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health
Editors	Nicos Maglaveras, Electra Gizeli
Publisher	IOS Press
Pages	40-45
Number of pages	6
ISBN (Electronic)	9781614996521
DOIs	https://doi.org/10.3233/978-1-61499-653-8-40
Publication status	Published - 2016
Externally published	Yes
Event	13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 - Heraklion, Crete, Greece Duration: 29 May 2016 → 31 May 2016

Publication series

Name	Studies in Health Technology and Informatics
Volume	224
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016
Country/Territory	Greece
City	Heraklion, Crete
Period	29/05/16 → 31/05/16

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Cardiovascular disease
Decision support systems
Personalised health
Telehealth
Telerehabilitation

Access to Document

10.3233/978-1-61499-653-8-40

Cite this

Filos, D., Triantafyllidisa, A., Chouvardaa, I., Buys, R., Cornelissen, V., Budts, W., Walsh, D., Woods, C., Moran, K., & Maglaverasa, N. (2016). PATHway: Decision support in exercise programmes for cardiac rehabilitation. In N. Maglaveras, & E. Gizeli (Eds.), pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health (pp. 40-45). (Studies in Health Technology and Informatics; Vol. 224). IOS Press. https://doi.org/10.3233/978-1-61499-653-8-40

Filos, Dimitris ; Triantafyllidisa, Andreas ; Chouvardaa, Ioanna et al. / PATHway : Decision support in exercise programmes for cardiac rehabilitation. pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. editor / Nicos Maglaveras ; Electra Gizeli. IOS Press, 2016. pp. 40-45 (Studies in Health Technology and Informatics).

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title = "PATHway: Decision support in exercise programmes for cardiac rehabilitation",

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.",

keywords = "Cardiovascular disease, Decision support systems, Personalised health, Telehealth, Telerehabilitation",

author = "Dimitris Filos and Andreas Triantafyllidisa and Ioanna Chouvardaa and Roselien Buys and V{\'e}ronique Cornelissen and Werner Budts and Deirdre Walsh and Catherine Woods and Kieran Moran and Nicos Maglaverasa",

note = "Publisher Copyright: {\textcopyright} 2016 The authors and IOS Press. All rights reserved.; 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 ; Conference date: 29-05-2016 Through 31-05-2016",

year = "2016",

doi = "10.3233/978-1-61499-653-8-40",

language = "English",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

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editor = "Nicos Maglaveras and Electra Gizeli",

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}

Filos, D, Triantafyllidisa, A, Chouvardaa, I, Buys, R, Cornelissen, V, Budts, W, Walsh, D, Woods, C, Moran, K & Maglaverasa, N 2016, PATHway: Decision support in exercise programmes for cardiac rehabilitation. in N Maglaveras & E Gizeli (eds), pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. Studies in Health Technology and Informatics, vol. 224, IOS Press, pp. 40-45, 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016, Heraklion, Crete, Greece, 29/05/16. https://doi.org/10.3233/978-1-61499-653-8-40

PATHway: Decision support in exercise programmes for cardiac rehabilitation. / Filos, Dimitris; Triantafyllidisa, Andreas; Chouvardaa, Ioanna et al.
pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. ed. / Nicos Maglaveras; Electra Gizeli. IOS Press, 2016. p. 40-45 (Studies in Health Technology and Informatics; Vol. 224).

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

TY - GEN

T1 - PATHway

T2 - 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016

AU - Filos, Dimitris

AU - Triantafyllidisa, Andreas

AU - Chouvardaa, Ioanna

AU - Buys, Roselien

AU - Cornelissen, Véronique

AU - Budts, Werner

AU - Walsh, Deirdre

AU - Woods, Catherine

AU - Moran, Kieran

AU - Maglaverasa, Nicos

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Cardiovascular disease

KW - Decision support systems

KW - Personalised health

KW - Telehealth

KW - Telerehabilitation

UR - https://www.scopus.com/pages/publications/84973481555

U2 - 10.3233/978-1-61499-653-8-40

DO - 10.3233/978-1-61499-653-8-40

M3 - Conference contribution

C2 - 27225551

AN - SCOPUS:84973481555

T3 - Studies in Health Technology and Informatics

SP - 40

EP - 45

BT - pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health

A2 - Maglaveras, Nicos

A2 - Gizeli, Electra

PB - IOS Press

Y2 - 29 May 2016 through 31 May 2016

ER -

Filos D, Triantafyllidisa A, Chouvardaa I, Buys R, Cornelissen V, Budts W et al. PATHway: Decision support in exercise programmes for cardiac rehabilitation. In Maglaveras N, Gizeli E, editors, pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health. IOS Press. 2016. p. 40-45. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-653-8-40

PATHway: Decision support in exercise programmes for cardiac rehabilitation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this