Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Motor Imagery based Brain-Computer Interface for Cerebellar Ataxia

소뇌 운동실조 이상 환자를 위한 운동상상 기반의 뇌-컴퓨터 인터페이스

  • Choi, Young-Seok (Department of Electronic Engineering, Gangneung-Wonju National University) ;
  • Shin, Hyun-Chool (School of Electronic Engineering, Soongsil University) ;
  • Ying, Sarah H. (Johns Hopkins University School of Medicine, Dept. Radiology) ;
  • Newman, Geoffrey I. (Johns Hopkins University School of Medicine, Dept. Biomedical Eng.) ;
  • Thakor, Nitish (Johns Hopkins University School of Medicine, Dept. Biomedical Eng.)
  • 최영석 (강릉원주대학교 전자공학과) ;
  • 신현출 (숭실대학교 정보통신공학과) ;
  • ;
  • ;
  • Received : 2014.09.14
  • Accepted : 2014.12.05
  • Published : 2014.12.25
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Abstract

Cerebellar ataxia is a steadily progressive neurodegenerative disease associated with loss of motor control, leaving patients unable to walk, talk, or perform activities of daily living. Direct motor instruction in cerebella ataxia patients has limited effectiveness, presumably because an inappropriate closed-loop cerebellar response to the inevitable observed error confounds motor learning mechanisms. Recent studies have validated the age-old technique of employing motor imagery training (mental rehearsal of a movement) to boost motor performance in athletes, much as a champion downhill skier visualizes the course prior to embarking on a run. Could the use of EEG based BCI provide advanced biofeedback to improve motor imagery and provide a "backdoor" to improving motor performance in ataxia patients? In order to determine the feasibility of using EEG-based BCI control in this population, we compare the ability to modulate mu-band power (8-12 Hz) by performing a cued motor imagery task in an ataxia patient and healthy control.

소뇌 운동실조는 점차 진행되는 신경퇴행질병이며 운동 조절을 위한 기능의 상실을 동반하기에 환자의 삶을 심각하게 저하시킨다. 소뇌 운동실조 환자는 운동제어 과정에서 부적절한 폐회로 소뇌 반응으로 인해 운동 명령이 제한된다. 본 논문에서는 최근 뇌-컴퓨터 인터페이스 기술을 이용하여 소뇌의 이상으로 인한 운동실조 환자들이 외부기기를 제어할 수 있도록 운동상상 기반의 뇌파의 특성을 분석하고 이를 이용한 뇌-컴퓨터 인터페이스 기법을 제안한다. 뇌파 기반의 뇌-컴퓨터 인터페이스의 효용성을 검증하기 위하여 소뇌 운동실조 환자와 정상인 그룹에서 운동상상에 따른 뮤밴드 파워를 조절하는 능력을 비교하였다. 이를 통하여 소뇌 운동실조 환자에의 뇌-컴퓨터 인터페이스의 가능성을 보여준다.

Keywords

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