Literature DB >> 28813911

Design and kinematic analysis of a novel upper limb exoskeleton for rehabilitation of stroke patients.

Amin Zeiaee, Rana Soltani-Zarrin, Reza Langari, Reza Tafreshi.   

Abstract

This paper details the design process and features of a novel upper limb rehabilitation exoskeleton named CLEVER (Compact, Low-weight, Ergonomic, Virtual/Augmented Reality Enhanced Rehabilitation) ARM. The research effort is focused on designing a lightweight and ergonomic upper-limb rehabilitation exoskeleton capable of producing diverse and perceptually rich training scenarios. To this end, the knowledge available in the literature of rehabilitation robotics is used along with formal conceptual design techniques. This paper briefly reviews the systematic approach used for design of the exoskeleton, and elaborates on the specific details of the proposed design concept and its advantages over other design possibilities. The kinematic structure of CLEVER ARM has eight degrees of freedom supporting the motion of shoulder girdle, glenohumeral joint, elbow and wrist. Six degrees of freedom of the exoskeleton are active, and the two degrees of freedom supporting the wrist motion are passive. Kinematics of the proposed design is studied analytically and experimentally with the aid of a 3D printed prototype. The paper is concluded by some remarks on the optimization of the design, motorization of device, and the fabrication challenges.

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Year:  2017        PMID: 28813911     DOI: 10.1109/ICORR.2017.8009339

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  2 in total

1.  Pilot Study of a Powered Exoskeleton for Upper Limb Rehabilitation Based on the Wheelchair.

Authors:  Qiaoling Meng; Qiaolian Xie; Haicun Shao; Wujing Cao; Feng Wang; Lulu Wang; Hongliu Yu; Sujiao Li
Journal:  Biomed Res Int       Date:  2019-12-17       Impact factor: 3.411

2.  Integration of a Passive Exoskeleton and a Robotic Supernumerary Finger for Grasping Compensation in Chronic Stroke Patients: The SoftPro Wearable System.

Authors:  Gionata Salvietti; Leonardo Franco; Martin Tschiersky; Gerjan Wolterink; Matteo Bianchi; Antonio Bicchi; Federica Barontini; Manuel Catalano; Giorgio Grioli; Mattia Poggiani; Simone Rossi; Domenico Prattichizzo
Journal:  Front Robot AI       Date:  2021-06-10
  2 in total

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