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2018 | OriginalPaper | Buchkapitel

A Computer-Assisted System with Kinect Sensors and Wristband Heart Rate Monitors for Group Classes of Exercise-Based Rehabilitation

verfasst von : A. Triantafyllidis, D. Filos, R. Buys, J. Claes, V. Cornelissen, E. Kouidi, A. Chatzitofis, D. Zarpalas, P. Daras, I. Chouvarda, N. Maglaveras

Erschienen in: Precision Medicine Powered by pHealth and Connected Health

Verlag: Springer Singapore

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Abstract

Exercise-based rehabilitation for chronic conditions such as cardiovascular disease, diabetes, and chronic obstructive pulmonary disease, constitutes a key element in reducing patient symptoms and improving health status and quality of life. However, group exercise in rehabilitation programmes faces several challenges imposed by the diversified needs of their participants. In this direction, we propose a novel computer-assisted system enhanced with sensors such as Kinect cameras and wristband heart rate monitors, aiming to support the trainer in adapting the exercise programme on-the-fly, according to identified requirements. The proposed system design facilitates maximal tailoring of the exercise programme towards the most beneficial and enjoyable execution of exercises for patient groups. This work contributes in the design of the next-generation of computerised systems in exercise-based rehabilitation.

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Literatur
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Zurück zum Zitat Vanhees L, Geladas N, Hansen D et al (2012) Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular risk factors: recommendations from the EACPR. Part II. Eur J Prev Cardiol 19:1005–33. https://doi.org/10.1177/1741826711430926CrossRef Vanhees L, Geladas N, Hansen D et al (2012) Importance of characteristics and modalities of physical activity and exercise in the management of cardiovascular health in individuals with cardiovascular risk factors: recommendations from the EACPR. Part II. Eur J Prev Cardiol 19:1005–33. https://​doi.​org/​10.​1177/​1741826711430926​CrossRef
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Zurück zum Zitat Filos D, Triantafyllidis A, Chouvarda I et al (2016) PATHway: decision support in exercise programmes for cardiac rehabilitation. Stud Health Technol Inform 224:40–45 Filos D, Triantafyllidis A, Chouvarda I et al (2016) PATHway: decision support in exercise programmes for cardiac rehabilitation. Stud Health Technol Inform 224:40–45
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17.
Zurück zum Zitat Triantafyllidis AK, Koutkias VG, Chouvarda I, Maglaveras N (2014) Development and usability of a personalized sensor-based system for pervasive healthcare. In: 2014 36th Annual international conference of the IEEE engineering in medicine and biology society EMBC. https://doi.org/10.1109/EMBC.2014.6945146 Triantafyllidis AK, Koutkias VG, Chouvarda I, Maglaveras N (2014) Development and usability of a personalized sensor-based system for pervasive healthcare. In: 2014 36th Annual international conference of the IEEE engineering in medicine and biology society EMBC. https://​doi.​org/​10.​1109/​EMBC.​2014.​6945146
Metadaten
Titel
A Computer-Assisted System with Kinect Sensors and Wristband Heart Rate Monitors for Group Classes of Exercise-Based Rehabilitation
verfasst von
A. Triantafyllidis
D. Filos
R. Buys
J. Claes
V. Cornelissen
E. Kouidi
A. Chatzitofis
D. Zarpalas
P. Daras
I. Chouvarda
N. Maglaveras
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7419-6_39

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