NREH: 다양한 운동과 데이터 수집이 가능한 가정용 상지재활로봇
NREH: Upper Extremity Rehabilitation Robot for Various Exercises and Data Collection at Home
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In this paper, we introduce an upper extremity rehabilitation robot, NREH (NRC End- effector based Rehabilitation arm at Home). Through NREH, stroke survivors could continuously exercise their upper extremities at home. NREH allows a user to hold the handle of the end-effector of the robot arm. NREH is a end-effector-based robot that moves the arm on a two-dimensional plane, but the tilt angle can be adjusted to mimic a movement similar to that in a three-dimensional space. Depending on the tilting angle, it is possible to perform customized exercises that can adjust the difficulty for each user. The user can sit down facing the robot and perform exercises such as arm reaching. When the user sits 90 degrees sideways, the user can also exercise their arms on a plane parallel to the sagittal plane. NREH was designed to be as simple as possible considering its use at home. By applying error augmentation, the exercise effect can be increased, and assistance force or resistance force can be applied as needed. Using an encoder on two actuators and a force/torque sensor on the end-effector, NREH can continuously collect and analyze the user’s movement data.
Abstract
In this paper, we introduce an upper extremity rehabilitation robot, NREH (NRC End- effector based Rehabilitation arm at Home). Through NREH, stroke survivors could continuously exercise their upper extremities at home. NREH allows a user to hold the handle of the end-effector of the robot arm. NREH is a end-effector-based robot that moves the arm on a two-dimensional plane, but the tilt angle can be adjusted to mimic a movement similar to that in a three-dimensional space. Depending on the tilting angle, it is possible to perform customized exercises that can adjust the difficulty for each user. The user can sit down facing the robot and perform exercises such as arm reaching. When the user sits 90 degrees sideways, the user can also exercise their arms on a plane parallel to the sagittal plane. NREH was designed to be as simple as possible considering its use at home. By applying error augmentation, the exercise effect can be increased, and assistance force or resistance force can be applied as needed. Using an encoder on two actuators and a force/torque sensor on the end-effector, NREH can continuously collect and analyze the user’s movement data.
참고문헌 (13)
- Cheol E. Han, "Quantifying Arm Nonuse in Individuals Poststroke", Neurorehabilitation and Neural Repair, 27(5), pp.439~447 (2013), SAGE Publications[DOI]
- Alexander Charles Plummer, "Constraint-induced Therapy and the Motor Learning Literature That Underpins Its Application", Physical Therapy Reviews, 8(3), pp.143~149 (2003), Informa UK Limited[DOI]
- Gert Kwakkel, "Effects of Augmented Exercise Therapy Time After Stroke", Stroke, 35(11), pp.2529~2539 (2004), Ovid Technologies (Wolters Kluwer Health)[DOI]
- "Hocoma"[URL]
- 송준용, "어깨의 움직임을 중심으로 한 상지재활로봇 NREX의 착용감 개선", 로봇학회 논문지, 14(4), pp.318~325 (2019), 한국로봇학회[DOI]
- J.-Y. Song, "Improvement of Upper Limb Rehabilitation Robot NREH Device at Home", The 15th Korea Robotics Society Annual Conference (2020)
- Yejun Wei, "A Real-Time Haptic", Graphic Demonstration of how Error Augmentation can Enhance Learning, 2005, 4406~4411[DOI]
- Farnaz Abdollahi, "Error Augmentation Enhancing Arm Recovery in Individuals With Chronic Stroke", Neurorehabilitation and Neural Repair, 28(2), pp.120~128 (2013), SAGE Publications[DOI]
- Lutong Li, "A scoping review of design requirements for a home-based upper limb rehabilitation robot for stroke", Topics in Stroke Rehabilitation, 29(6), pp.449~463 (2021), Informa UK Limited[DOI]
- M.-R. Hong, "Usability Test of Upper limb Rehabilitation Robot NREH using Visual Error Augmentation", The 14th Korea Robotics Society Annual Conference (2019)
- Won-Kyung Song, "Improvement of upper extremity rehabilitation Robotic Exoskeleton, NREX", 2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) (2017), IEEE
- S.-H. Lee, "Control of Upper Limb Rehabilitation Robot NREH using Force Sensor", The 15th Korea Robotics Society Annual Conference (2020)
- T. B. Dijkhuis, "Personalized physical activity coaching : a machine learning approach", Sensors, 18(2), pp.2018~ (2018)[DOI]
