Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network

Movement Analysis for Neurological and Musculoskeletal Disorders Using Graph Convolutional Neural Network

Using optical motion capture and wearable sensors is a common way to analyze impaired movement in individuals with neurological and musculoskeletal disorders. However, using optical motion sensors and wearable sensors is expensive and often requires highly trained professionals to identify specific...

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Bibliographic Details
Main Authors: Ibsa K. Jalata, Thanh-Dat Truong, Jessica L. Allen, Han-Seok Seo, Khoa Luu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Future Internet
Subjects:
cerebral palsy
graph convolutional neural network
deep learning
1D-CNN
gait parameters
Online Access:https://www.mdpi.com/1999-5903/13/8/194

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https://www.mdpi.com/1999-5903/13/8/194

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