Literature DB >> 28113591

A Magnetic Resonance Compatible Soft Wearable Robotic Glove for Hand Rehabilitation and Brain Imaging.

Nazir Kamaldin, Fatima A Nasrallah, James Cho Hong Goh.   

Abstract

In this paper, we present the design, fabrication and evaluation of a soft wearable robotic glove, which can be used with functional Magnetic Resonance imaging (fMRI) during the hand rehabilitation and task specific training. The soft wearable robotic glove, called MR-Glove, consists of two major components: a) a set of soft pneumatic actuators and b) a glove. The soft pneumatic actuators, which are made of silicone elastomers, generate bending motion and actuate finger joints upon pressurization. The device is MR-compatible as it contains no ferromagnetic materials and operates pneumatically. Our results show that the device did not cause artifacts to fMRI images during hand rehabilitation and task-specific exercises. This study demonstrated the possibility of using fMRI and MR-compatible soft wearable robotic device to study brain activities and motor performances during hand rehabilitation, and to unravel the functional effects of rehabilitation robotics on brain stimulation.

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Year:  2016        PMID: 28113591     DOI: 10.1109/TNSRE.2016.2602941

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  5 in total

1.  Robotically Assisted Long Bone Biopsy Under MRI Imaging: Workflow and Preclinical Study.

Authors:  Kevin Cleary; Sunghwan Lim; Changhan Jun; Reza Monfaredi; Karun Sharma; Stanley Thomas Fricke; Luis Vargas; Doru Petrisor; Dan Stoianovici
Journal:  Acad Radiol       Date:  2017-10-23       Impact factor: 3.173

2.  Design and Preliminary Feasibility Study of a Soft Robotic Glove for Hand Function Assistance in Stroke Survivors.

Authors:  Hong Kai Yap; Jeong Hoon Lim; Fatima Nasrallah; Chen-Hua Yeow
Journal:  Front Neurosci       Date:  2017-10-09       Impact factor: 4.677

3.  Design of a Soft Robotic Elbow Sleeve with Passive and Intent-Controlled Actuation.

Authors:  Tze Hui Koh; Nicholas Cheng; Hong Kai Yap; Chen-Hua Yeow
Journal:  Front Neurosci       Date:  2017-10-25       Impact factor: 4.677

Review 4.  Soft robotic devices for hand rehabilitation and assistance: a narrative review.

Authors:  Chia-Ye Chu; Rita M Patterson
Journal:  J Neuroeng Rehabil       Date:  2018-02-17       Impact factor: 4.262

5.  Visualizing and Evaluating Finger Movement Using Combined Acceleration and Contact-Force Sensors: A Proof-of-Concept Study.

Authors:  Hitomi Oigawa; Yoshiro Musha; Youhei Ishimine; Sumito Kinjo; Yuya Takesue; Hideyuki Negoro; Tomohiro Umeda
Journal:  Sensors (Basel)       Date:  2021-03-09       Impact factor: 3.576

  5 in total

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