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

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 co...

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Bibliographic Details
Published in:IEEE transactions on neural systems and rehabilitation engineering 2017-06, Vol.25 (6), p.782-793
Main Authors: Yap, Hong Kai, Kamaldin, Nazir, Lim, Jeong Hoon, Nasrallah, Fatima A., Goh, James Cho Hong, Yeow, Chen-Hua
Format: Article
Language:English
Subjects:
Actuators
Artificial Limbs
Automation
Bending machines
Brain
Brain - physiology
Brain mapping
Brain Mapping - instrumentation
Brain-Computer Interfaces
Compatibility
Elastic Modulus
Elastomers
Equipment Design
Equipment Failure Analysis
Exoskeleton Device
Fabrication
Fabrics
Ferromagnetic materials
Finger
Force
Functional magnetic resonance imaging
Hand
Humans
Industrial robots
Magnetic resonance compatible devices
magnetic resonance compatible soft actuators
Magnetic resonance imaging
Magnetic Resonance Imaging - instrumentation
Manufacturing engineering
Neuroimaging
Neurological Rehabilitation - instrumentation
Pneumatics
Pressurization
Rehabilitation
rehabilitation robotics
Reproducibility of Results
Resonance
Robotics
Robotics - instrumentation
Robots
Sensitivity and Specificity
Silicones
soft wearable robotics
Stimulation
Thumb
Wearable technology
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Summary: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.
ISSN:1534-4320
1558-0210
DOI:10.1109/TNSRE.2016.2602941