Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14777
Title: Neural Coding for Effective Rehabilitation
Authors: Hu, X 
Wang, Y
Zhao, T
Gunduz, A
Issue Date: 2014
Publisher: Hindawi Publishing Corporation
Source: BioMed research international, 2014, v. 2014, 286505 How to cite?
Journal: BioMed research international 
Abstract: Successful neurological rehabilitation depends on accurate diagnosis, effective treatment, and quantitative evaluation. Neural coding, a technology for interpretation of functional and structural information of the nervous system, has contributed to the advancements in neuroimaging, brain-machine interface (BMI), and design of training devices for rehabilitation purposes. In this review, we summarized the latest breakthroughs in neuroimaging from microscale to macroscale levels with potential diagnostic applications for rehabilitation. We also reviewed the achievements in electrocorticography (ECoG) coding with both animal models and human beings for BMI design, electromyography (EMG) interpretation for interaction with external robotic systems, and robot-assisted quantitative evaluation on the progress of rehabilitation programs. Future rehabilitation would be more home-based, automatic, and self-served by patients. Further investigations and breakthroughs are mainly needed in aspects of improving the computational efficiency in neuroimaging and multichannel ECoG by selection of localized neuroinformatics, validation of the effectiveness in BMI guided rehabilitation programs, and simplification of the system operation in training devices.
URI: http://hdl.handle.net/10397/14777
ISSN: 2314-6133
EISSN: 2314-6141
DOI: 10.1155/2014/286505
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