DocumentCode :
948634
Title :
MR_CHIROD v.2: Magnetic Resonance Compatible Smart Hand Rehabilitation Device for Brain Imaging
Author :
Khanicheh, Azadeh ; Mintzopoulos, Dionyssios ; Weinberg, Brian ; Tzika, A. Aria ; Mavroidis, Constantinos
Author_Institution :
Northeastern Univ., Boston
Volume :
16
Issue :
1
fYear :
2008
Firstpage :
91
Lastpage :
98
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.
Keywords :
biomedical MRI; brain; electrorheology; haptic interfaces; medical robotics; neurophysiology; patient rehabilitation; real-time systems; MR compatible smart hand rehabilitation device; brain imaging; electrorheological fluids; force sensor; gripping force; handgrip rehabilitation; image artifacts; magnetic resonance imaging; neurological injuries; optical encoder; patient-induced force; patient-induced motion; real-time control; resistive force generation; Electrorheological fluids; MR-compatible devices; electro rheological fluids; fMRI; functional magnetic resonance imaging (fMRI); magnetic resonance (MR)-compatible devices; motor control; Artificial Limbs; Brain; Hand; Hand Strength; Humans; Linear Models; Magnetic Resonance Imaging; Prosthesis Design; Rheology; Robotics;
fLanguage :
English
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1534-4320
Type :
jour
DOI :
10.1109/TNSRE.2007.910286
Filename :
4359239
Link To Document :
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