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On the design of a robot-assisted rehabilitation system for ankle joint with contracture and/or spasticity based on proprioceptive neuromuscular facilitation

  • Zhihao Zhou
  • , Yuan Zhou
  • , Ninghua Wang
  • , Fan Gao
  • , Kunlin Wei
  • , Qining Wang

Producción científica: Conference contributionrevisión exhaustiva

18 Citas (Scopus)

Resumen

Ankle joint with contracture and/or spasticity can severely disable the mobility and the independence of stroke survivors. Robot-assisted rehabilitation has been proposed to support physicians in providing effective therapies. In this paper, we propose a robot-assisted ankle rehabilitation system integrated with human-computer interaction interface and acquisition of Electromyography signals, joint torque and joint angle. Furthermore, we investigate the effects of proprioceptive neuromuscular facilitation (PNF) rehabilitation method applied in our robotic system. The proposed robot-assisted system has been used in real experiments and provides PNF rehabilitation to five stroke patients for six weeks. Preliminary experimental results suggest that PNF is effective in increasing ankle range of motion(ROM), decreasing ankle resistance torque, and alleviating joint stiffness.

Idioma originalEnglish
Título de la publicación alojadaProceedings - IEEE International Conference on Robotics and Automation
Páginas736-741
Número de páginas6
ISBN (versión digital)9781479936854, 9781479936854
DOI
EstadoPublished - sept 22 2014
Evento2014 IEEE International Conference on Robotics and Automation, ICRA 2014 - Hong Kong, China
Duración: may 31 2014jun 7 2014

Serie de la publicación

NombreProceedings - IEEE International Conference on Robotics and Automation
ISSN (versión impresa)1050-4729

Conference

Conference2014 IEEE International Conference on Robotics and Automation, ICRA 2014
País/TerritorioChina
CiudadHong Kong
Período5/31/146/7/14

Nota bibliográfica

Publisher Copyright:
© 2014 IEEE.

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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