뇌졸중 환자를 대상으로 하는 표면 근전도 기반 손 재활 로봇 제어 인터페이스

Abstract

Hand functions such as hand opening, hand closing, and object grasping are needed to perform many tasks in daily life, but developing effective rehabilitation devices for hand function has been a challenge. To encourage stroke survivors to use residual motor abilities in the rehabilitation process, we developed a hand rehabilitation robot control interface using surface electromyograph in stroke patients, and compared whether patients' actual performance of motion improves when utilizing this interface. We obtain 72% level of classifier accuracy, with an average task operation time of 4.5 seconds decreasing. It is expected that the proposed control interface will provide a high level of exercise recovery in the future.