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

  • A. TriantafyllidisEmail author
  • D. Filos
  • R. Buys
  • J. Claes
  • V. Cornelissen
  • E. Kouidi
  • A. Chatzitofis
  • D. Zarpalas
  • P. Daras
  • I. Chouvarda
  • N. Maglaveras
Conference paper
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 

Notes

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’.

Conflict of Interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • A. Triantafyllidis
    • 1
    • 2
    Email author
  • D. Filos
    • 1
    • 2
  • R. Buys
    • 3
  • J. Claes
    • 3
  • V. Cornelissen
    • 4
  • E. Kouidi
    • 5
  • A. Chatzitofis
    • 6
  • D. Zarpalas
    • 6
  • P. Daras
    • 6
  • I. Chouvarda
    • 1
    • 2
  • N. Maglaveras
    • 1
    • 2
  1. 1.Institute of Applied Biosciences, Centre for Research and Technology HellasThessalonikiGreece
  2. 2.Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of MedicineAristotle University of ThessalonikiThessalonikiGreece
  3. 3.Department of Cardiovascular SciencesKU LeuvenLeuvenBelgium
  4. 4.Department of Rehabilitation SciencesKU LeuvenLeuvenBelgium
  5. 5.Lab of Sports Medicine, Department of Physical Education and Sport ScienceAristotle University of ThessalonikiThessalonikiGreece
  6. 6.Information Technologies Institute, Centre for Research and Technology HellasThessalonikiGreece

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