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Assessing the Accuracy of the Azure Kinect for Telerehabilitation After Breast Cancer Surgery
Andrea Cattaneo, Mattia Fragasso, Martina Magni, Ivana Mostachetti, Elisabetta Perri, Andrea Vitali
83 - 88
10.3233/SHTI230017
Research Article
Studies in Health Technology and Informatics
Volume 301: dHealth 2023
Abstract

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.

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