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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sung-Phil Kim Simeral, J.D. Hochberg, L.R. Donoghue, J.P. Black, M.J. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Computer Science, Brown Univ., Providence, RI, USA (Sung-Phil Kim; Black, M.J.) || Center for Restorative and Regenerative Medicine, Rehabilitation R&D Service, Dept. of Veterans Affairs Medical Center, Providence, RI, USA (Simeral, J.D.; Hochberg, L.R.) || Dept. of Neuroscience, Brown Univ., Providence, RI, USA (Donoghue, J.P.) |
| Abstract | A direct neural interface system (NIS) promises to provide communication and independence to persons with paralysis by harnessing intact motor cortical signals to enable controlling prosthetic devices. An intracortical NIS aims to achieve this by sensing extracellular neuronal signals through chronically implanted microelectrodes and by decoding the spiking activity of neurons into prosthetic control signals. In non-human primate studies, decoding has been performed by finding a relationship between neuronal signals and actual limb movements. However, such decoding approaches face challenges in the case of paralyzed persons where there is no true movement information. Specifically, we have focused on dealing with several key questions in decoding of neural activity in humans with paralysis: what movement parameters should be decoded?; which decoding algorithms lead to more accurate estimation of movement parameters?; how do we train decoding algorithms without observing actual movement parameters?; and how many control parameters can be decoded from a single neural ensemble? In this paper, we summarize our recent studies to address these questions to improve decoding performance, which enables a human with tetraplegia to drive a 2D computer cursor to an arbitrary position and execute a “click” on the area of interest. |
| Starting Page | 988 |
| Ending Page | 993 |
| File Size | 412423 |
| Page Count | 6 |
| File Format | |
| ISBN | 9788995605622 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Subject Keyword | Microelectrodes Parameter estimation Neurons Humans Communication system control Drives Control systems Decoding Extracellular Neural prosthesis |
| Content Type | Text |
| Resource Type | Article |
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