International Journal of Precision Engineering and Manufacturing

  • 제6권3호
  • /
  • Pages.37-44
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  • 2005
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  • 2234-7593(pISSN)
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  • 2005-4602(eISSN)
한국정밀공학회 (Korean Society for Precision Engineering)
권호 표지

Adaptive Postural Control for Trans-Femoral Prostheses Based on Neural Networks and EMG Signals

  • Lee Ju-Won (Depart. of Electronic Engineering, Gyeongsang National University) ;
  • Lee Gun-Ki (Depart. of Electronic Engineering, Gyeongsang National University)
  • 발행 : 2005.07.01
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초록

Gait control capacity for most trans-femoral prostheses is significantly different from that of a normal person, and training is required for a long period of time in order for a patient to walk properly. People become easily tired when wearing a prosthesis or orthosis for a long period typically because the gait angle cannot be smoothly adjusted during wearing. Therefore, to improve the gait control problems of a trans-femoral prosthesis, the proper gait angle is estimated through surface EMG(electromyogram) signals on a normal leg, then the gait posture which the trans-femoral prosthesis should take is calculated in the neural network, which learns the gait kinetics on the basis of the normal leg's gait angle. Based on this predicted angle, a postural control method is proposed and tested adaptively following the patient's gait habit based on the predicted angle. In this study, the gait angle prediction showed accuracy of over $97\%$, and the posture control capacity of over $90\%$.

키워드

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