DocumentCode :
2470311
Title :
Monkey models for brain-machine interfaces: The need for maintaining diversity
Author :
Nuyujukian, Paul ; Fan, Joline M. ; Gilja, Vikash ; Kalanithi, Paul S. ; Chestek, Cindy A. ; Shenoy, Krishna V.
Author_Institution :
Dept. of Bioeng., Stanford Univ., Stanford, CA, USA
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
1301
Lastpage :
1305
Abstract :
Brain-machine interfaces (BMIs) aim to help disabled patients by translating neural signals from the brain into control signals for guiding prosthetic arms, computer cursors, and other assistive devices. Animal models are central to the development of these systems and have helped enable the successful translation of the first generation of BMIs. As we move toward next-generation systems, we face the question of which animal models will aid broader patient populations and achieve even higher performance, robustness, and functionality. We review here four general types of rhesus monkey models employed in BMI research, and describe two additional, complementary models. Given the physiological diversity of neurological injury and disease, we suggest a need to maintain the current diversity of animal models and to explore additional alternatives, as each mimic different aspects of injury or disease.
Keywords :
brain-computer interfaces; diseases; handicapped aids; medical disorders; neurophysiology; prosthetics; BMI monkey models; animal models; assistive devices; brain neural signals; brain-machine interfaces; computer cursors; control signals; neurological disease; neurological injury; prosthetic arm guiding; rhesus monkey models; Animals; Educational institutions; Electromyography; Injuries; Muscles; Neuroscience; Prosthetics; Brain-computer interfaces; animal models; neural prostheses; Animals; Biodiversity; Brain; Brain Mapping; Electroencephalography; Evoked Potentials; Humans; Macaca mulatta; Models, Animal; User-Computer Interface;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6090306
Filename :
6090306
Link To Document :
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