Literature DB >> 18303810

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

Azadeh Khanicheh1, Dionyssios Mintzopoulos, Brian Weinberg, A Aria Tzika, Constantinos Mavroidis.   

Abstract

This paper presents the design, fabrication, and testing of a novel, one degree-of-freedom, magnetic resonance compatible smart hand interfaced rehabilitation device (MR_CHIROD v.2), which may be used in brain magnetic resonance (MR) imaging during handgrip rehabilitation. A key feature of the device is the use of electrorheological fluids (ERFs) to achieve computer controlled, variable, and tunable resistive force generation. The device consists of three major subsystems: 1) an ERF based resistive element, 2) handles, and c) two sensors, one optical encoder and one force sensor, to measure the patient induced motion and force. MR_CHIROD v.2 is designed to resist up to 50% of the maximum level of gripping force of a human hand and be controlled in real time. Our results demonstrate that the MR environment does not interfere with the performance of the MR_CHIROD v.2, and, reciprocally, its use does not cause fMR image artifacts. The results are encouraging in jointly using MR_CHIROD v.2 and brain MR imaging to study motor performance and assess rehabilitation after neurological injuries such as stroke.

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Year:  2008        PMID: 18303810     DOI: 10.1109/TNSRE.2007.910286

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


  15 in total

1.  Mutual interferences and design principles for mechatronic devices in magnetic resonance imaging.

Authors:  Ningbo Yu; Roger Gassert; Robert Riener
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-09-02       Impact factor: 2.924

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

Authors:  Sangjoon J Kim; Yeongjin Kim; Hyosang Lee; Pouya Ghasemlou; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2017-07-15       Impact factor: 2.602

3.  Non-linear adaptive controllers for an over-actuated pneumatic MR-compatible stepper.

Authors:  Christoph Hollnagel; Heike Vallery; Rainer Schädler; Isaac Gómez-Lor López; Lukas Jaeger; Peter Wolf; Robert Riener; Laura Marchal-Crespo
Journal:  Med Biol Eng Comput       Date:  2013-02-22       Impact factor: 2.602

4.  Computer-controlled, MR-compatible foot-pedal device to study dynamics of the muscle tendon complex under isometric, concentric, and eccentric contractions.

Authors:  Shantanu Sinha; David D Shin; John A Hodgson; Ryuta Kinugasa; V Reggie Edgerton
Journal:  J Magn Reson Imaging       Date:  2012-03-05       Impact factor: 4.813

5.  Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits.

Authors:  Mark P Ottensmeyer; Shasha Li; Gianluca De Novi; A Aria Tzika
Journal:  J Vis Exp       Date:  2019-11-23       Impact factor: 1.355

6.  Connectivity alterations assessed by combining fMRI and MR-compatible hand robots in chronic stroke.

Authors:  Dionyssios Mintzopoulos; Loukas G Astrakas; Azadeh Khanicheh; Angelos A Konstas; Aneesh Singhal; Michael A Moskowitz; Bruce R Rosen; A Aria Tzika
Journal:  Neuroimage       Date:  2009-03-12       Impact factor: 6.556

7.  fMRI as a molecular imaging procedure for the functional reorganization of motor systems in chronic stroke.

Authors:  Asimina Lazaridou; Loukas Astrakas; Dionyssios Mintzopoulos; Azadeh Khanchiceh; Aneesh Singhal; Michael Moskowitz; Bruce Rosen; Aria Tzika
Journal:  Mol Med Rep       Date:  2013-07-26       Impact factor: 2.952

Review 8.  Functional MRI using robotic MRI compatible devices for monitoring rehabilitation from chronic stroke in the molecular medicine era (Review).

Authors:  Loukas G Astrakas; Syed Hassan Naqvi; Babak Kateb; A Aria Tzika
Journal:  Int J Mol Med       Date:  2012-03-15       Impact factor: 4.101

9.  Functional MRI of Rehabilitation in Chronic Stroke Patients Using Novel MR-Compatible Hand Robots.

Authors:  Dionyssios Mintzopoulos; Azadeh Khanicheh; Angelos A Konstas; Loukas G Astrakas; Aneesh B Singhal; Michael A Moskowitz; Bruce R Rosen; A Aria Tzika
Journal:  Open Neuroimag J       Date:  2008-09-27

10.  Diffusion tensor and volumetric magnetic resonance imaging using an MR-compatible hand-induced robotic device suggests training-induced neuroplasticity in patients with chronic stroke.

Authors:  Asimina Lazaridou; Loukas Astrakas; Dionyssios Mintzopoulos; Azadeh Khanicheh; Aneesh B Singhal; Michael A Moskowitz; Bruce Rosen; Aria A Tzika
Journal:  Int J Mol Med       Date:  2013-08-27       Impact factor: 4.101

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