Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/2681
Title: Design of a robot-assisted exoskeleton for passive wrist and forearm rehabilitation
Authors: Kutuk, Mehmet Erkan
Dulger, Lale Canan
Das, Memik Taylan
Keywords: Motor Function
Therapy
Recovery
Stroke
Arm
Publisher: Copernicus Gesellschaft Mbh
Abstract: This paper presents a new exoskeleton design for wrist and forearm rehabilitation. The contribution of this study is to offer a methodology which shows how to adapt a serial manipulator that reduces the number of actuators used on exoskeleton design for the rehabilitation. The system offered is a combination of end-effectorand exoskeleton-based devices. The passive exoskeleton is attached to the end effector of the manipulator, which provides motion for the purpose of rehabilitation process. The Denso VP 6-Axis Articulated Robot is used to control motion of the exoskeleton during the rehabilitation process. The exoskeleton is designed to be used for both wrist and forearm motions. The desired moving capabilities of the exoskeleton are flexion-extension (FE) and adduction-abduction (AA) motions for the wrist and pronation-supination (PS) motion for the forearm. The anatomical structure of a human limb is taken as a constraint during the design. The joints on the exoskeleton can be locked or unlocked manually in order to restrict or enable the movements. The parts of the exoskeleton include mechanical stoppers to prevent the excessive motion. One passive degree of freedom (DOF) is added in order to prevent misalignment problems between the axes of FE and AA motions. Kinematic feedback of the experiments is performed by using a wireless motion tracker assembled on the exoskeleton. The results proved that motion transmission from robot to exoskeleton is satisfactorily achieved. Instead of different exoskeletons in which each axis is driven and controlled separately, one serial robot with adaptable passive exoskeletons is adequate to facilitate rehabilitation exercises.
URI: https://doi.org/10.5194/ms-10-107-2019
https://hdl.handle.net/20.500.14365/2681
ISSN: 2191-9151
2191-916X
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
2681.pdf11.24 MBAdobe PDFView/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Nov 20, 2024

WEB OF SCIENCETM
Citations

2
checked on Nov 20, 2024

Page view(s)

70
checked on Nov 18, 2024

Download(s)

12
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.