Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Development of a Knee Exoskeleton for Rehabilitation Based EMG and IMU Sensor Feedback

단계별 무릎 재활을 위한 근전도 및 관성센서 피드백 기반 외골격 시스템 개발

  • Kim, Jong Un (Department of Biomedical Engineering, Konyang University) ;
  • Kim, Ga Eul (Department of Biomedical Engineering, Konyang University) ;
  • Ji, Yeong Beom (Department of Biomedical Engineering, Konyang University) ;
  • Lee, A Ram (Department of Biomedical Engineering, Konyang University) ;
  • Lee, Hyun Ju (Department of Physical Therapy, Konyang University) ;
  • Tae, Ki Sik (Department of Biomedical Engineering, Konyang University)
  • Received : 2019.10.10
  • Accepted : 2019.10.22
  • Published : 2019.12.31
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Abstract

The number of knee-related disease patients and knee joint surgeries is steadily increasing every year, and for knee rehabilitation training for these knee joint patients, it is necessary to strengthen the muscle of vastus medialis and quadriceps femoris. However, because of the cost and time-consuming difficulties of receiving regular hospital treatment in the course of knee rehabilitation, we developed knee exoskeleton using rapid prototype for knee rehabilitation with feedback from the electromyogram (EMG) and inertia motion unit (IMU) sensor. The modules was built on the basis of EMG and an IMU sensor applied complementary filter, measuring muscle activity in the vastus medialis and the range of joint operation of the knee, and then performing the game based on this measurement. The IMU sensor performed up to 97.2% accuracy in experiments with ten subjects. The functional game contents consisted of an exergaming platform based on EMG and IMU for the real-time monitoring and performance assessment of personalized isometric and isotonic exercises. This study combined EMG and IMU-based functional game with knee rehabilitation training to enable voluntary rehabilitation training by providing immediate feedback to patients through biometric information, thereby enhancing muscle strength efficiency of rehabilitation.

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