Improved spatial-temporal graph convolutional networks for upper limb rehabilitation assessment based on precise posture measurement.

Bai, Jing; Wang, Zhixian; Lu, Xuanming; Wen, Xiulan

Bai, Jing; Wang, Zhixian; Lu, Xuanming; Wen, Xiulan.

Afiliación

Bai J; Industrial Technology Research Institute of Intelligent Equipment, Nanjing Institute of Technology, Nanjing, China.
Wang Z; Jiangsu Provincial Engineering Laboratory of Intelligent Manufacturing Equipment, Nanjing, China.
Lu X; 'School of Automation, Nanjing Institute of Technology, Nanjing, China.
Wen X; Industrial Technology Research Institute of Intelligent Equipment, Nanjing Institute of Technology, Nanjing, China.

Front Neurosci ; 17: 1219556, 2023.

Article en En | MEDLINE | ID: mdl-37496735

Palabras clave

graph convolutional networks; motion range; posture measurement; rehabilitation assessment; upper limb

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: Front Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google