Literature DB >> 27117423

Bilateral robots for upper-limb stroke rehabilitation: State of the art and future prospects.

Bo Sheng1, Yanxin Zhang2, Wei Meng3, Chao Deng4, Shengquan Xie5.   

Abstract

Robot-assisted bilateral upper-limb training grows abundantly for stroke rehabilitation in recent years and an increasing number of devices and robots have been developed. This paper aims to provide a systematic overview and evaluation of existing bilateral upper-limb rehabilitation devices and robots based on their mechanisms and clinical-outcomes. Most of the articles studied here were searched from nine online databases and the China National Knowledge Infrastructure (CNKI) from year 1993 to 2015. Devices and robots were categorized as end-effectors, exoskeletons and industrial robots. Totally ten end-effectors, one exoskeleton and one industrial robot were evaluated in terms of their mechanical characteristics, degrees of freedom (DOF), supported control modes, clinical applicability and outcomes. Preliminary clinical results of these studies showed that all participants could gain certain improvements in terms of range of motion, strength or physical function after training. Only four studies supported that bilateral training was better than unilateral training. However, most of clinical results cannot definitely verify the effectiveness of mechanisms and clinical protocols used in robotic therapies. To explore the actual value of these robots and devices, further research on ingenious mechanisms, dose-matched clinical protocols and universal evaluation criteria should be conducted in the future.
Copyright © 2016 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bilateral training; Clinical protocols; Rehabilitation robot; Upper-limb

Mesh:

Year:  2016        PMID: 27117423     DOI: 10.1016/j.medengphy.2016.04.004

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  10 in total

1.  Home-based technologies for stroke rehabilitation: A systematic review.

Authors:  Yu Chen; Kingsley Travis Abel; John T Janecek; Yunan Chen; Kai Zheng; Steven C Cramer
Journal:  Int J Med Inform       Date:  2018-12-11       Impact factor: 4.046

2.  A qualitative study on user acceptance of a home-based stroke telerehabilitation system.

Authors:  Yu Chen; Yunan Chen; Kai Zheng; Lucy Dodakian; Jill See; Robert Zhou; Nina Chiu; Renee Augsburger; Alison McKenzie; Steven C Cramer
Journal:  Top Stroke Rehabil       Date:  2019-11-04       Impact factor: 2.119

3.  The Present and Future of Robotic Technology in Rehabilitation.

Authors:  Jeffrey Laut; Maurizio Porfiri; Preeti Raghavan
Journal:  Curr Phys Med Rehabil Rep       Date:  2016-11-19

4.  Design of Wearable Hand Rehabilitation Glove With Bionic Fiber-Reinforced Actuator.

Authors:  Yali Han; Quan Xu; Feng Wu
Journal:  IEEE J Transl Eng Health Med       Date:  2022-08-04

5.  Design and testing of a soft parallel robot based on pneumatic artificial muscles for wrist rehabilitation.

Authors:  Yaxi Wang; Qingsong Xu
Journal:  Sci Rep       Date:  2021-01-14       Impact factor: 4.379

Review 6.  Rehabilitation robots for the treatment of sensorimotor deficits: a neurophysiological perspective.

Authors:  Roger Gassert; Volker Dietz
Journal:  J Neuroeng Rehabil       Date:  2018-06-05       Impact factor: 4.262

7.  New Design of a Soft Robotics Wearable Elbow Exoskeleton Based on Shape Memory Alloy Wire Actuators.

Authors:  Dorin Copaci; Enrique Cano; Luis Moreno; Dolores Blanco
Journal:  Appl Bionics Biomech       Date:  2017-09-05       Impact factor: 1.781

8.  Low-Cost Robotic Guide Based on a Motor Imagery Brain-Computer Interface for Arm Assisted Rehabilitation.

Authors:  Eduardo Quiles; Ferran Suay; Gemma Candela; Nayibe Chio; Manuel Jiménez; Leandro Álvarez-Kurogi
Journal:  Int J Environ Res Public Health       Date:  2020-01-21       Impact factor: 3.390

9.  Speed-Interactive Pedaling Training Using Smartphone Virtual Reality Application for Stroke Patients: Single-Blinded, Randomized Clinical Trial.

Authors:  Kyeongjin Lee
Journal:  Brain Sci       Date:  2019-10-27

10.  Development and evaluation of a novel music-based therapeutic device for upper extremity movement training: A pre-clinical, single-arm trial.

Authors:  Nina Schaffert; Thenille Braun Janzen; Roy Ploigt; Sebastian Schlüter; Veronica Vuong; Michael H Thaut
Journal:  PLoS One       Date:  2020-11-19       Impact factor: 3.240

  10 in total

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