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Assessing the Accuracy of the Azure Kinect for Telerehabilitation After Breast Cancer Surgery

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  • معلومة اضافية
    • Contributors:
      Pfeifer, Bernhard; Schreier, Günter; Baumgartner, Martin; Hayn, Dieter; Cattaneo, Andrea; Fragasso, Mattia; Magni, Martina; Mostachetti, Ivana; Perri, Elisabetta; Vitali, Andrea
    • بيانات النشر:
      IOS Press
      NL
      Amsterdam
    • الموضوع:
      2023
    • Collection:
      Aisberg - Archivio istituzionale dell'Università di Bergamo
    • نبذة مختصرة :
      Background: Rehabilitation plays a key role in the recovery of upper extremity function after breast cancer surgery. Motion capture (mocap) systems for serious gaming have shown the potential to enable home-based rehabilitation, but clinical accuracy needs to be examined. Objectives: Validation of markerless mocap systems for telerehabilitation after breast cancer surgical intervention. Methods: The accuracy of the markerless mocap device Azure Kinect in detecting compensatory movements and postural disturbances has been compared to a gold standard Optitrack system in five volunteers. Subsequently, a serious game for mocap-based shoulder exercises has been developed and integrated into a telerehabilitation platform. Results: The Azure Kinect shows good reliability for scapular elevation (ICC >0.80; MAE <2.1 cm) and trunk tilt (ICC=0.88; MAE=5°), moderate reliability for rounded shoulders (ICC=0.51; MAE=2.6cm) and poor reliability for kyphosis angle (ICC=0.22; MAE=18°). Conclusion: The Azure Kinect provides reasonable performance for shoulder rehabilitation. The proposed telerehabilitation platform has been tested by rehabilitation specialists and received positive feedback.
    • File Description:
      remote
    • Relation:
      info:eu-repo/semantics/altIdentifier/isbn/9781643683867; info:eu-repo/semantics/altIdentifier/pmid/37172158; ispartofbook:dHealth 2023; dHealth 2023: 17th annual conference on Health Informatics meets Digital Health, Vienna, Austria, 16-17 May 2023; volume:301; firstpage:83; lastpage:88; serie:STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS; alleditors:Pfeifer, Bernhard; Schreier, Günter; Baumgartner, Martin; Hayn, Dieter; https://hdl.handle.net/10446/244030; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85159738357
    • الرقم المعرف:
      10.3233/SHTI230017
    • الدخول الالكتروني :
      https://hdl.handle.net/10446/244030
      https://doi.org/10.3233/SHTI230017
    • Rights:
      info:eu-repo/semantics/openAccess
    • الرقم المعرف:
      edsbas.326BDA4A