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A limb-function discrimination method using EMG signals for the control of multifunctional powered prostheses

  • Published:1987 Issue:12 Volume:18 Page:42-53
  • ISSN:0882-1666
  • Container-title:Systems and Computers in Japan
  • language:en
  • Short-container-title:Syst. Comp. Jpn.

Author:

Tsuji Toshio,Ito Koji,Nagamachi Mitsuo

Publisher

Wiley

Subject

Computational Theory and Mathematics,Hardware and Architecture,Information Systems,Theoretical Computer Science

Reference14 articles.

1. Interpretation of myoelectric power spectra; a model and its application;Lindström;Proc. I. E. E. E.,1977

2. Bilinear characteristics of the musclar-skeletal system and their application to prosthesis control;Ito;Trans. I. E. E., Japan,1985

3. Dynamic characteristics of man-machine control system manipulated by the quantized EMG signal;Ito;Proc. Meas. Automat. Contr.,1984

4. Myoelectric energy spectra;Scott;Med. and Biol. Eng.,1967

5. An application of signal processing technique to the study of myoelectric signals;Kwanty;I. E. E. E. Trans. Biomed. Eng.,1970

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1. Development of Myoelectric Robotic/Prosthetic Hands with Cybernetic Control at the Biological Systems Engineering Laboratory, Hiroshima University;Journal of Robotics and Mechatronics;2019-02-20

2. Electromyographic prosthetic hand using grasping-force-magnification mechanism with five independently driven fingers;Advanced Robotics;2015-10-08

3. High Accurate Discrimination Method of Forearm Motions from Surface Electromyogram and its Condition;Journal of Advanced Computational Intelligence and Intelligent Informatics;2011-07-20

4. A self-organizing approach to generate raining data for EMG signal classification;2008 IEEE International Conference on Robotics and Biomimetics;2009-02

5. 10.3169/itej.62.832;The Journal of The Institute of Image Information and Television Engineers;2008
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