DocumentCode
1432386
Title
Biological–Machine Systems Integration: Engineering the Neural Interface
Author
Lovell, Nigel H. ; Morley, John W. ; Chen, Spencer C. ; Hallum, Luke E. ; Suaning, Gregg J.
Author_Institution
Grad. Sch. of Biomed. Eng., Univ. of New South Wales, Sydney, NSW, Australia
Volume
98
Issue
3
fYear
2010
fDate
3/1/2010 12:00:00 AM
Firstpage
418
Lastpage
431
Abstract
The state of the art of biological-machine systems integration (BMSI) with an emphasis on neural interfacing is reported. The goal of BMSI from a medical viewpoint is to effectively replace or facilitate activation of, or recording from, neural elements in a part of the nervous system. BMSI will be firstly examined from a generic level whereby the current technologies for noninvasive and invasive neural recording and neural stimulation will be detailed. A case study in the area of visual neuroprosthesis will be presented to elucidate the current and future issues facing BMSI. This will include a discussion on biocompatibility, design of stimulating electrodes, the implanted microelectronic neurostimulator, and parallelization of stimulus encoding and delivery.
Keywords
biocybernetics; biomedical electrodes; biomedical electronics; brain-computer interfaces; eye; neuromuscular stimulation; neurophysiology; prosthetics; biocompatibility; biological-machine system integration; generic level; implanted microelectronic neurostimulator; invasive neural recording; nervous system; neural interface; neural stimulation; noninvasive neural recording; stimulating electrode design; stimulus encoding parallelization; visual neuroprosthesis; Australia; Biological information theory; Biomedical imaging; Electrodes; Materials science and technology; Microelectronics; Nervous system; Neural engineering; Retina; Systems engineering and theory; Bionic eye; blindness; cortical implant; neural engineering; neural interface; neuroprosthesis; neurostimulation; retinal prosthesis; visual prosthesis;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/JPROC.2009.2039030
Filename
5424197
Link To Document