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| Using the VIE, which is implemented in MATLAB's Simulink environment, neural recordings from different non-human primate subjects can be streamed into the system. Separate decoding filters can then independently decode an entire suite of dexterous movements in real-time, including individual finger movements, wrist rotation, and grasps. Real-time visual feedback is provided through actuation of a virtual prosthetic hand, which models the dynamics and kinematics of an actual mechanical limb. The VIE provides an important testbench for the testing and validation of various cortical decoding algorithms. |
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| Neural activity is recorded from primates as they perform dexterous movements of the hand. Independently trained classifiers decode the movement type in real-time, and the decoded output is used to actuate the final prosthetic limb. In lieu of a mechanical dexterous limb, the VIE provides real-time feedback of a virtual prosthetic arm to facilitate dexterous closed-loop control of a prosthetic device. |
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Researchers |
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Vikram Aggarwal, MSE
Girish Singhal, MSE
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Collaborators |
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Johns Hopkins Applied Physics Laboratory |
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Funding |
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Defense Advanced Project and Research Agency (DARPA) - contract N66001-06-C-8005
National Science and Engineering Research Council (NSERC) |
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Publications |
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| Aggarwal V, Singhal G, MH Schieber, NV Thakor, Towards closed-loop decoding of dexterous hand movements using a Virtual Integration Environment, Conf Proc IEEE Eng Med Biol Soc, 1:1703-06, 2008 |
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Copyright © 2008 JHU Neuroengineering & Biomedical Instrumentation Lab
All rights reserved. |
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