Browsing by Titles

Showing results 1 to 8 of 8

  • Minsu Song
  • 2020
  • Minsu Song. (2020). A novel motor imagery-based real time neurofeedback BCI system for stroke neurorehabilitation using EEG. doi: 10.22677/Theses.200000284538
  • DGIST
  • View : 703
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  • Byeonggi Yu
  • 2022
  • Byeonggi Yu. (2022). A study on entropy as a measure of brain activation. doi: 10.22677/thesis.200000627107
  • DGIST
  • View : 263
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  • Hwang, Ye Ji
  • 2017
  • Hwang, Ye Ji. (2017). An upper-body posture estimation method in reaching movement for robot-aided upper limb rehabilitation. doi: 10.22677/thesis.2377881
  • DGIST
  • View : 586
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Design of A Clinically Relevant Elbow Exoskeleton Robot for Stroke Patients

  • Lee, Dong Jin
  • 2015
  • Lee, Dong Jin. (2015). Design of A Clinically Relevant Elbow Exoskeleton Robot for Stroke Patients. doi: 10.22677/thesis.2066192
  • DGIST
  • View : 715
  • Download : 175

Subject-specific real time motor imaginary detection scheme for robot-aided hand rehabilitation

  • Chun, Rae Chang
  • 2016
  • Chun, Rae Chang. (2016). Subject-specific real time motor imaginary detection scheme for robot-aided hand rehabilitation. doi: 10.22677/thesis.2228855
  • DGIST
  • View : 770
  • Download : 291

Validation of Fitts' Law with stroke patients' reaching task ; potential application in robot-aided upper limb rehabilitation

  • Kim, Jong Bum
  • 2015
  • Kim, Jong Bum. (2015). Validation of Fitts’ Law with stroke patients’ reaching task ; potential application in robot-aided upper limb rehabilitation. doi: 10.22677/thesis.2066749
  • DGIST
  • View : 1016
  • Download : 440

Validation of Grip Force Measurement Using Hand Rehabilitation Robot for Impedance Control

  • Park, Ji Hyuk
  • 2015
  • Park, Ji Hyuk. (2015). Validation of Grip Force Measurement Using Hand Rehabilitation Robot for Impedance Control. doi: 10.22677/thesis.1922109
  • DGIST
  • View : 770
  • Download : 237
  • 장평훈
  • 장성호
  • 이동진
  • 2016-10-26
  • 장평훈. 팔꿈치 재활로봇.
  • View : 435
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