Rehabilitation Robotic Prostheses for Upper Extremity

Han Pang Huang*, Yi Hung Liu, Wei Chen Lee, Jiun Yih Kuan, Tzu Hao Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations

Abstract

One of the most valuable applications for medical mechatronics is the robotic prosthesis for it not only plays a crucial role in rehabilitation but also helps much in improving life quality of patients. Recently, various rehabilitation robots have been developed. The method to reduce the complexity is first introduced in this chapter. The method is based on a robust control law and an independent joint model, and is derived in detail in this chapter. The chapter emphasizes the mechanical mechanisms of the rehabilitation robot hand and the associated power systems. It focuses on robust control law design based on the independent joint model to reduce the complexity of the design process. The chapter also introduces a method which can improve the stability of neuroprostheses, and nontarget electromyography (EMG) pattern filtering (NTPF) scheme. The results have shown that the introduced NTPF scheme is able to maintain a high EMG classification rate.

Original languageEnglish
Title of host publicationContemporary Issues in Systems Science and Engineering
PublisherWiley-IEEE Press
Pages663-697
Number of pages35
ISBN (Electronic)9781119036821
ISBN (Print)9781118271865
DOIs
StatePublished - 7 Apr 2015

Keywords

  • Independent joint model
  • Neuroprostheses
  • Nontarget electromyography pattern filtering (NTPF)
  • Power systems
  • Rehabilitation robots
  • Robotic prosthesis
  • Robust control law design

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