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International Conference on Biomedical and Health Informatics

ICBHI 2017: Precision Medicine Powered by pHealth and Connected Health pp 237–241Cite as

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

Part of the IFMBE Proceedings book series (IFMBE,volume 66)

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.

Keywords

  • Exercise
  • Rehabilitation
  • Computer-assisted systems
  • Sensors
  • Kinect

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Acknowledgements

Author AT was supported by the “IKY fellowships of excellence for postgraduate studies in Greece—SIEMENS program”. Authors DF, JC, RB, VC, AC, DZ, PD, IC, and NM were supported by the European Union’s Horizon 2020 Framework Programme for Research and Innovation Action under Grant Agreement no. 643491, ‘PATHway: Technology enabled behavioural change as a pathway towards better self-management of CVD’.

Author information

Affiliations

  1. Institute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece

    A. Triantafyllidis, D. Filos, I. Chouvarda & N. Maglaveras

  2. Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

    A. Triantafyllidis, D. Filos, I. Chouvarda & N. Maglaveras

  3. Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium

    R. Buys & J. Claes

  4. Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium

    V. Cornelissen

  5. Lab of Sports Medicine, Department of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece

    E. Kouidi

  6. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    A. Chatzitofis, D. Zarpalas & P. Daras

Authors
  1. A. Triantafyllidis
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  2. D. Filos
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  3. R. Buys
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  4. J. Claes
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  5. V. Cornelissen
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  6. E. Kouidi
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  7. A. Chatzitofis
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  8. D. Zarpalas
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  9. P. Daras
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  10. I. Chouvarda
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  11. N. Maglaveras
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Corresponding author

Correspondence to A. Triantafyllidis .

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The authors declare that they have no conflict of interest.

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Triantafyllidis, A. et al. (2018). A Computer-Assisted System with Kinect Sensors and Wristband Heart Rate Monitors for Group Classes of Exercise-Based Rehabilitation. In: Maglaveras, N., Chouvarda, I., de Carvalho, P. (eds) Precision Medicine Powered by pHealth and Connected Health. ICBHI 2017. IFMBE Proceedings, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-10-7419-6_39

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  • DOI: https://doi.org/10.1007/978-981-10-7419-6_39

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  • Publisher Name: Springer, Singapore

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  • Online ISBN: 978-981-10-7419-6

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