Neural Coding for Effective Rehabilitation
Joint Authors
Wang, Yiwen
Zhao, Ting
Gunduz, Aysegul
Hu, Xiao-ling
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-02
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Hu, Xiao-ling& Wang, Yiwen& Zhao, Ting& Gunduz, Aysegul. 2014. Neural Coding for Effective Rehabilitation. BioMed Research International،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1034420
Modern Language Association (MLA)
Hu, Xiao-ling…[et al.]. Neural Coding for Effective Rehabilitation. BioMed Research International No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-1034420
American Medical Association (AMA)
Hu, Xiao-ling& Wang, Yiwen& Zhao, Ting& Gunduz, Aysegul. Neural Coding for Effective Rehabilitation. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-1034420
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1034420