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  • 标题:Advanced Rehabilitation Device Based on Artificial Muscle Actuators with Neural Network Implementation
  • 本地全文:下载
  • 作者:Kamil Židek ; Ondrej Líška ; Vladislav Maxim
  • 期刊名称:Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
  • 印刷版ISSN:1897-8649
  • 电子版ISSN:2080-2145
  • 出版年度:2012
  • 卷号:6
  • 期号:3
  • 页码:30
  • 出版社:Industrial Research Inst. for Automation and Measurements, Warsaw
  • 摘要:In this paper the rehabilitation device for upper arm based on artificial muscles is introduced. Presented au- tomated rehabilitation device has three degrees of free- dom: 2 DOF in arm and 1 DOF in elbow that provides almost all basic rehabilitation exercises. Artificial pneu- matics muscles will be tested in connection with spring and antagonistic connection. This system provides lifting and falling of arm construction based on patient force. There is possibility to generate help force during rehabili- tation or opposite load. Artificial muscles are controlled by pneumatic valves terminal from micro computer based on MCU. Higher level control system provides artificial intelligence implementation based on neural network for prediction and change of load according sensor values history (incremental sensor, pressure sensor). For proto- type testing there is described usability of industrial robot to test precision of load and trajectories during rehabili- tation. This automatic rehabilitation device will help to reduce therapeutics work with patient, automate and im- prove rehabilitation process.
  • 关键词:rehabilitation; automation; artificial muscle; ; control
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