An Unsupervised Data-Driven Model to Classify Gait Patterns in Children with Cerebral Palsy

An Unsupervised Data-Driven Model to Classify Gait Patterns in Children with Cerebral Palsy

Ankle and foot orthoses are commonly prescribed to children with cerebral palsy (CP). It is unclear whether 3D gait analysis (3DGA) provides sufficient and reliable information for clinicians to be consistent when prescribing orthoses. Data-driven modeling can probe such questions by revealing non-i...

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Bibliographic Details
Main Authors:	Julie Choisne, Nicolas Fourrier, Geoffrey Handsfield, Nada Signal, Denise Taylor, Nichola Wilson, Susan Stott, Thor F. Besier
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Journal of Clinical Medicine
Subjects:	cerebral palsy 3D gait analysis data-driven model ankle foot orthosis gait variable score
Online Access:	https://www.mdpi.com/2077-0383/9/5/1432

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