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Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
[article]
2021
arXiv
pre-print
Providing early diagnosis of cerebral palsy (CP) is key to enhancing the developmental outcomes for those affected. Diagnostic tools such as the General Movements Assessment (GMA), have produced promising results in early diagnosis, however these manual methods can be laborious. In this paper, we propose a new framework for the automated classification of infant body movements, based upon the GMA, which unlike previous methods, also incorporates a visualization framework to aid with
arXiv:2106.04966v1
fatcat:j452jepfuzf5pk5wft3zn7s3zy