DocumentCode :
759361
Title :
Engineering Neural Interfaces for Rehabilitation of Lower Limb Function in Spinal Cord Injured
Author :
He, Jiping ; Ma, Chaolin ; Herman, Richard
Author_Institution :
Harrington Dept. of Bioeng., Arizona State Univ., Tempe, AZ
Volume :
96
Issue :
7
fYear :
2008
fDate :
7/1/2008 12:00:00 AM
Firstpage :
1152
Lastpage :
1166
Abstract :
Recent progress in neural interface technologies and demonstration of direct cortical control of robotic arm or computer cursor for simple movement has generated high expectation of rapid development of cortically controlled neuroprosthetics to improve motor function in subjects with severe neurological deficits. However, several challenging engineering and biological issues remain to be resolved before a practical system can be developed for patients to receive real benefit. The ability of neural systems to adapt to changes and learn new functions should be taken into consideration in the design and development of neuroprosthetics so that the two systems can cooperatively work together to accommodate continued changes (neural degeneration or functional improvement) in a human user. An intelligent neural interface should be able to activate residual function and facilitate adaptation and learning ability of the neural system. Current efforts in developing wireless and networked neural interfaces and utilizing smart materials and sensors will revolutionize the future design of neuroprosthetics and advance the investigation of brain function. This report reviews two recent projects in activating residual neural functions and investigating brain control of lower limb functions.
Keywords :
brain; neurophysiology; patient rehabilitation; prosthetics; brain control; brain function; intelligent neural interface; lower limb function rehabilitation; networked neural interface; neural degeneration; neural system; neuroprosthetics; spinal cord injured; wireless neural interface; Biomedical engineering; Control systems; Design engineering; Helium; Intelligent sensors; Microelectrodes; Neural prosthesis; Spinal cord; Spinal cord injury; Wireless sensor networks; Adaptation; brain machine interface; neural control; neural interfaces; neural networks; neural systems; neuroprothetics; rehabilitation; stimulation;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2008.922593
Filename :
4545304
Link To Document :
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