Literature DB >> 28712012

Development of an MR-compatible hand exoskeleton that is capable of providing interactive robotic rehabilitation during fMRI imaging.

Sangjoon J Kim1, Yeongjin Kim2, Hyosang Lee1, Pouya Ghasemlou1, Jung Kim3.   

Abstract

Following advances in robotic rehabilitation, there have been many efforts to investigate the recovery process and effectiveness of robotic rehabilitation procedures through monitoring the activation status of the brain. This work presents the development of a two degree-of-freedom (DoF) magnetic resonance (MR)-compatible hand device that can perform robotic rehabilitation procedures inside an fMRI scanner. The device is capable of providing real-time monitoring of the joint angle, angular velocity, and joint force produced by the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joints of four fingers. For force measurement, a custom reflective optical force sensor was developed and characterized in terms of accuracy error, hysteresis, and repeatability in the MR environment. The proposed device consists of two non-magnetic ultrasonic motors to provide assistive and resistive forces to the MCP and PIP joints. With actuation and sensing capabilities, both non-voluntary-passive movements and active-voluntary movements can be implemented. The MR compatibility of the device was verified via the analysis of the signal-to-noise ratio (SNR) of MR images of phantoms. SNR drops of 0.25, 2.94, and 11.82% were observed when the device was present but not activated, when only the custom force sensor was activated, and when both the custom force sensor and actuators were activated, respectively.

Keywords:  Functional magnetic resonance image (fMRI); MR-compatible hand exoskeleton; Metacarpophalangeal (MCP); Proximal interphalangeal joint (PIP); Robot rehabilitation

Mesh:

Year:  2017        PMID: 28712012     DOI: 10.1007/s11517-017-1681-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  10 in total

Review 1.  Radiofrequency energy-induced heating during MR procedures: a review.

Authors:  F G Shellock
Journal:  J Magn Reson Imaging       Date:  2000-07       Impact factor: 4.813

2.  fMRI assessment of upper extremity related brain activation with an MRI-compatible manipulandum.

Authors:  Ningbo Yu; Natalia Estévez; Marie-Claude Hepp-Reymond; Spyros S Kollias; Robert Riener
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-08-10       Impact factor: 2.924

Review 3.  Magnetic resonance-compatible robotic and mechatronics systems for image-guided interventions and rehabilitation: a review study.

Authors:  Nikolaos V Tsekos; Azadeh Khanicheh; Eftychios Christoforou; Constantinos Mavroidis
Journal:  Annu Rev Biomed Eng       Date:  2007       Impact factor: 9.590

4.  Robot-based hand motor therapy after stroke.

Authors:  Craig D Takahashi; Lucy Der-Yeghiaian; Vu Le; Rehan R Motiwala; Steven C Cramer
Journal:  Brain       Date:  2007-12-20       Impact factor: 13.501

Review 5.  Robot assistance of motor learning: A neuro-cognitive perspective.

Authors:  Herbert Heuer; Jenna Lüttgen
Journal:  Neurosci Biobehav Rev       Date:  2015-07-17       Impact factor: 8.989

6.  Analysis of fMRI and finger tracking training in subjects with chronic stroke.

Authors:  James R Carey; Teresa J Kimberley; Scott M Lewis; Edward J Auerbach; Lisa Dorsey; Peter Rundquist; Kamil Ugurbil
Journal:  Brain       Date:  2002-04       Impact factor: 13.501

7.  Tri-Axial MRI Compatible Fiber-optic Force Sensor.

Authors:  U-Xuan Tan; Bo Yang; Rao Gullapalli; Jaydev P Desai
Journal:  IEEE Trans Robot       Date:  2011-02-01       Impact factor: 5.567

8.  Plastic changes of motor network after constraint-induced movement therapy.

Authors:  Yun-Hee Kim; Ji-Won Park; Myoung-Hwan Ko; Sung-Ho Jang; Peter K W Lee
Journal:  Yonsei Med J       Date:  2004-04-30       Impact factor: 2.759

9.  MR_CHIROD v.2: magnetic resonance compatible smart hand rehabilitation device for brain imaging.

Authors:  Azadeh Khanicheh; Dionyssios Mintzopoulos; Brian Weinberg; A Aria Tzika; Constantinos Mavroidis
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-02       Impact factor: 3.802

Review 10.  Optical fiber-based MR-compatible sensors for medical applications: an overview.

Authors:  Fabrizio Taffoni; Domenico Formica; Paola Saccomandi; Giovanni Di Pino; Emiliano Schena
Journal:  Sensors (Basel)       Date:  2013-10-18       Impact factor: 3.576

  10 in total

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