Interpretable classification for multivariate gait analysis of cerebral palsy

Interpretable classification for multivariate gait analysis of cerebral palsy

Abstract Background The Gross Motor Function Classification System (GMFCS) is a widely used tool for assessing the mobility of people with Cerebral Palsy (CP). It classifies patients into different levels based on their gross motor function and its level is typically determined through visual evalua...

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Bibliographic Details
Main Authors: Changwon Yoon, Yongho Jeon, Hosik Choi, Soon-Sun Kwon, Jeongyoun Ahn
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BioMedical Engineering OnLine
Subjects:
Cerebral palsy
Functional sparse classification
GMFCS
Multivariate functional data
Sparse functional linear discriminant analysis
Online Access:https://doi.org/10.1186/s12938-023-01168-x

Internet

https://doi.org/10.1186/s12938-023-01168-x

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