• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문집
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• pp.446-452
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• 2002

This paper Presents a 3-D design and a Vibration control of a new walking R.G.O.(Robotic Gait Orthosis) and would like to develop a simulation by this walking system. The vibration control and evaluation of the new knee joint mechanism on the biped walking R.G.O.(Robotic Gait Orthosis) was a very unique system and was to obtain by the 3-axis accelerometer with a low frequency vibration for the paraplegia It will be expect that the spinal cord injury patients are able to recover effectively by a biped walking R.G.O.. The new knee joint system of both legs were adopted with a good kinematic characteristics. It was designed attached a DC-srevo motor and controller, with a human wear type. It was able to accomodate itself to a environments of S.C.I. Patients. It will be expect that the spinal cord injury patients are able to recover effectively by a new walking R.G.O. system.

• 재활치료과학
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• 제7권1호
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• pp.79-88
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• 2018

목적 : 본 연구에서는 뇌졸중 환자의 치료 효과를 증진시키기 위한 방법으로, 로봇 기반에 연속적이며, 실시간으로 환자의 의지에 따른 표면 근전도 신호에 비례한 제어가 가능한 최적 알고리즘을 구현 및 재활로봇과 PC소프트웨어에 적용기술을 개발하였다. 연구방법 : 뇌졸중 환자의 치료를 위한 재활로봇 제어 알고리즘 개발을 위해서 본 연구에서는 선형 재귀모델을 이용하였다. 또한, 이를 PC 소프트웨어에 적용하여 실제 근전도 신호에 비례하여 게임을 진행할 수 있도록 환경을 구축하였으며, 이를 활용하여 모의 훈련을 진행하였다. 결과 : 모의실험 결과 실제 움직인 위치와 선형 재귀모델로부터 추정된 위치의 결과가 상당히 유사하게 나타나는 것을 확인할 수 있었다. 또한 3명의 피험자를 대상으로 실험 한 결과, 3번의 각기 다른 시도에 따라 훈련이 진행되면서 그 결과가 좋아짐을 확인할 수 있었다. 결론 : 본 연구에서는 재활로봇에 적용 가능한 실시간으로 동작하는 근전도에 비례한 움직임을 유도해 낼 수 있는 선형 재귀 모델을 개발하였다. 또한, 이를 활용한 소프트웨어도 함께 구축하여 그 활용 가능성이 높음을 확인하였다. 향후 실제 재활로봇에 적용하여 자가-재활 및 원격재활 로봇에 기본 알고리즘으로 널리 활용될 수 있을 것이라 기대된다.

• 공학교육연구
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• 제17권4호
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• pp.3-6
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• 2014

Robotic exoskeletons are kind of wearable robots enabling operators to amplify the force. There are several possible applications in plenty of options: to put very heavy products into right positions for assemblies, to rescue people from natural disasters, and to work for medical rehabilitation etc. In this study, the exoskeleton hands were designed and fabricated using 3-D printer. It would be the good case of application of 3-D printer to design and fabricate the exoskeleton hands.

• Annals of Rehabilitation Medicine
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• 제42권6호
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• pp.788-797
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• 2018

Objective To investigate the effect of upper limb rehabilitation combining robot with low-frequency repetitive transcranial magnetic stimulation (rTMS) on unilateral spatial neglect in stroke patients. Methods Patients who had hemispatial neglect after right hemisphere stroke were randomly divided into rTMS only group, robot only group, and combined group. All groups received conventional neglect therapy and additional treatment for each group. rTMS group received rTMS therapy. Robot group received robot therapy, while combined group received both therapies. The effect of therapy was assessed with Motor-Free Visual Perception Test-3 (MVPT-3), line bisection test, star cancellation test, Catherine Bergego Scale (CBS), Mini-Mental State Examination (MMSE), and the Korean version of Modified Barthel Index (K-MBI). These measurements were evaluated before and after treatment. Results For each group, 10 patients were recruited. There were no significant differences in baseline characteristics or initial values among the three groups. Two weeks after the therapy, all groups showed significant improvement in MVPT-3, line bisection test, star cancellation test, CBS, MMSE, and K-MBI. However, changes in measurements showed no significant differences among groups. Conclusion Treatment effect of the combined therapy of robotic therapy and low-frequency rTMS therapy for hemispatial neglect was not statistically different from that of each single treatment. Results of this study did not prove the superiority of any of the three treatments. Further study with large number of patients is needed to evaluate the superiority of these treatments.

• 제어로봇시스템학회논문지
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• 제17권8호
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• pp.814-823
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• 2011

Nowadays many neurological diseases such as stroke and Parkinson diseases are continually increasing. Orthotic devices as well as exoskeletons have been widely developed for supporting movement assistance and therapy of patients. Robotic knee orthosis can compensate stiff-knee gait of the paralyzed limb and can provide patients consistent assistance at wearable environments. With keeping a robotic orthosis wearable, however, it is not easy to develop a compact and safe actuator with fast rotation and high torque for consistent supports of patients during walking. In this paper, we propose a novel kinematic model for a robotic knee orthosis to drive a knee joint with independent actuation during swing and stance phases, which can allow an actuator with fast rotation to control swing motions and an actuator with high torque to control stance motions, respectively. The suggested kinematic model is composed of a hamstring device with a slide-crank mechanism, a quadriceps device with five-bar/six-bar links, and a patella device for knee covering. The quadriceps device operates in five-bar links with 2-dof motions during swing phase and is changed to six-bar links during stance phase by the contact motion to the patella device. The hamstring device operates in a slider-crank mechanism for entire gait cycle. The kinematics and velocity/force relations are analyzed for the quadriceps and hamstring devices. Finally, the adequate actuators for the suggested kinematic model are designed based on normal gait requirements. The suggested kinematic model will allow a robotic knee orthosis to use compact and light actuators with full support during walking.

• 한국전자통신학회논문지
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• 제16권5호
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• pp.941-946
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• 2021

본 논문은 3D프린터와 모터를 활용해 무게와 부피를 줄인 재활용 웨어러블 로봇 손의 설계 및 구현에 관한 연구이다. 재활용 웨어러블 로봇은 재활의 효과도 중요하지만, 사용의 간편성 또한 중요하다. 하지만 현재 연구 및 개발된 재활용 외골격 로봇은 부피와 무게가 무겁거나 제자리에서 사용해야 하는 것이 대부분이다. 따라서 착용에 용이하고 사용자에게 중량이 부담되지 않는 웨어러블 로봇이 필요하므로 경량화된 전동식 재활용 웨어러블 로봇 손을 제안하였다. 3D프린터를 사용하여 무게와 부피를 줄이고 착용에 용이하도록 설계를 진행하였다. 또한, 휴대성을 높이기 위해 공압 방식이 아닌 모터기반의 전동방식을 채택해 구조를 간단하게 구성하였다. 최종적으로 경량화된 전동식 재활용 웨어러블 로봇 손의 실험을 통해 제안한 방식의 효용성을 검토하였다.

• 대한화상학회지
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• 제23권2호
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• pp.31-36
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• 2020

Purpose: Scar contracture influence the outcome of burn patients significantly. This study aims to investigate the feasibility of robot-assisted training for the lower extremity rehabilitation of burn patients. Methods: This pilot study was conducted on 7 burn patients for 8 weeks between January 2019 and November 2019. Two of 7 patients withdrew from this study because one had skin abrasion on the legs which thigh fastening devices were applied on and the other was not participate in the assessment at 4 weeks after training. Final 5 patients received gait training with SUBAR^® and numeric rating scale (NRS), 6-minutes walking test, and range of motion in flexion and extension of knee and ankle joint were evaluated before training, 4 weeks and 12 weeks after training. Results: The subjects had a mean age of 51.8±98 years, mean total burn surface area of 30.8±13.7%, mean duration from injury to 1^st assessment of 102.8±39.3 days. Anyone of 5 patients did not have musculoskeletal or cardiovascular side effects such as increased or decreased blood pressure or dizziness. The significant improvement in NRS, gait speed, and range of motion in knee extension and ankle plantarflexion after robotic training (all P<0.05). Conclusion: Robot-assisted training could be feasible for the rehabilitation of burn patients and it could improve muscle strength and range of motion in lower extremities, and gait function.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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• pp.25-28
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• 2000

In this paper, an effective intention reading scheme is proposed for human-friendly interface. Soft computing techniques such as fuzzy logic and artificial neural networks are used for this. And Gabor filter based feature(GG feature) is also proposed to deal with local activity in the human face. It is based on human visual system and Gabor filter based approach is very popular in these days. The proposed scheme is adopted for human-friendly interface for rehabilitation service robotic system KARES II.

• 전자공학회논문지SC
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• 제37권6호
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• pp.50-63
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• 2000

본 논문에서는 소프트 컴퓨팅 기법을 이용한 새로운 근전도 신호 패턴 분류 방법을 제안한다. 재활 로봇시스템에서 기존에 사용되었던 여러 가지 입력 장치(음성, 레이저 포인터, 키패드, 3차원 입력기 등)에 비해 근전도 신호를 이용한 방식이 가지는 장점을 서술한다. 기존의 근전도 신호 분류 방법의 문제점인 사용자 의존성을 줄이기 위해 제안한 사용자 독립적인 특징 선택 방법에 대해 상술한다. 선택된 특징 집합을 이용하여 퍼지 패턴 분류기 및 퍼지 최대-최소 신경망을 구성하여 학습 전(퍼지 패턴 분류기)과 학습 후(퍼지 최대-최소 신경망)에 각각 83%와 90%의 분류 성공률을 얻어 제안된 방법의 유용성을 확인할 수 있었다.

• 재활복지공학회논문지
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• 제9권1호
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• pp.67-72
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• 2015

팔의 사용이 자유롭지 못한 장애인들을 위하여 발의 움직임 검출을 통하여 로봇 팔을 제어할 수 있는 시스템을 구현하였다. 발의 움직임에 대한 영상을 얻기 위하여 양쪽 발 앞에 두 대의 카메라를 설치하였으며, 획득된 영상에 대해 LabView 기반 Vision Assistant를 이용하여 다중 관심영역을 설정한 후, 좌/우영역내에서 검출된 좌/우, 상/하 엣지를 기반으로 발의 움직임을 검출하였다. 좌/우 두발의 영상으로부터 좌/우 엣지와 상/하 엣지 검출 수에 따라 6관절 로봇 팔을 제어할 수 있는 제어용 데이터를 시리얼 통신을 통해 전송한 후 로봇 팔을 발로 상/하, 좌/우 제어할 수 있는 시스템을 구현하였다. 실험 결과 0.5초 이내의 반응속도와 88% 이상의 동작 인식률을 얻을 수 있었다.