Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: A novel approach using markerless motion tracking and machine learning

Introduction: Video-based clinical rating plays an important role in assessing dystonia and monitoring the effect of treatment in dyskinetic cerebral palsy (CP). However, evaluation by clinicians is time-consuming, and the quality of rating is dependent on experience. The aim of the current study is...

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Bibliographic Details

Published in:	Frontiers in Robotics and AI
Main Authors:	Helga Haberfehlner, Shankara S. van de Ven, Sven A. van der Burg, Florian Huber, Sonja Georgievska, Ignazio Aleo, Jaap Harlaar, Laura A. Bonouvrié, Marjolein M. van der Krogt, Annemieke I. Buizer
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-03-01
Subjects:	cerebral palsy movement disorders machine learning motion capture markerless skeleton tracking human pose estimation
Online Access:	https://www.frontiersin.org/articles/10.3389/frobt.2023.1108114/full