Classification of neck movement patterns related to whiplash-associated disorders using neural networks.

Classification of neck movement patterns related to whiplash-associated disorders using neural networks.

This paper presents a new method for classification of neck movement patterns related to whiplash-associated disorders (WAD) using a resilient backpropagation neural network (BPNN). WAD are a common diagnosis after neck trauma, typically caused by rear-end car accidents. Since physical injuries seld...

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Detalhes bibliográficos
Publicado no:IEEE Transactions on information technology in biomedicine 7, 4 (2003).
Autor principal: Grip, H.
Formato: Artigo
Idioma:English
Assuntos:
Angular velocity.
Decision support system.
Instantaneous helical axis method.
Neck movement patterns classification.
Neck trauma.
Predictive ability.
Principal component analysis.
Proprioception.
Rear-end car accidents.
Resilient backpropagation neural network.
Rotation angle.
Three-dimensional neck movement data.
Whiplash-associated disorders.