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.

(2023). Assessing the Accuracy of the Azure Kinect for Telerehabilitation After Breast Cancer Surgery . Retrieved from https://hdl.handle.net/10446/244030

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

Cattaneo, Andrea;Fragasso, Mattia;Mostachetti, Ivana;Perri, Elisabetta;Vitali, Andrea
2023-01-01

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.
2023
Inglese
dHealth 2023
Pfeifer, Bernhard; Schreier, Günter; Baumgartner, Martin; Hayn, Dieter
9781643683867
301
83
88
online
Netherlands
Amsterdam
IOS Press
esperti anonimi
dHealth 2023: 17th annual conference on Health Informatics meets Digital Health, Vienna, Austria, 16-17 May 2023
17th
Vienna, Austria
16-17 May 2023
internazionale
contributo
Settore ING-IND/15 - Disegno e Metodi dell'Ingegneria Industriale
Telerehabilitation; Exergaming; Exercise Therapy; Motion Capture; Breast Neoplasms
indice consultabile alla pagina degli atti
info:eu-repo/semantics/conferenceObject
6
Cattaneo, Andrea; Fragasso, Mattia; Magni, Martina; Mostachetti, Ivana; Perri, Elisabetta; Vitali, Andrea
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
open
Non definito
273
(2023). Assessing the Accuracy of the Azure Kinect for Telerehabilitation After Breast Cancer Surgery . Retrieved from https://hdl.handle.net/10446/244030
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/244030
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