Towards clinically viable neural prostheses through innovations in neuroscience, decoders, and interfaces
Abstract/Contents
- Abstract
- Millions of people in the United States live with paralysis due to spinal cord injury or neurological diseases. The motor impairment limits the patients' independence and in some cases the ability to communicate. Brain-computer interfaces (BCIs) translate signals from the brain into useful control signals, manipulating end-effectors such as computer cursors or robotic arms. BCIs can help restore lost motor capabilities and improve the quality of life for people with paralysis. Intracortical BCIs (iBCIs) have shown promising results in clinical trials, making them the prime candidate as an assistive device for people with severe paralysis, such as tetraplegia. However, for most applications iBCIs need further improvements to be suitable for clinical use. In this dissertation, I aimed to advance the main three components of the iBCI system: the neural interface, the user estimation decoding algorithm, and the user interface. I advanced the three components using multidisciplinary tools from neuroscience, statistics, and engineering. I believe that the studies which comprise this dissertation are a step forward towards the goal of clinical viability of iBCIs.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2018; ©2018 |
| Publication date | 2018; 2018 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Even Chen, Nir |
|---|---|
| Degree supervisor | Shenoy, Krishna V. (Krishna Vaughn) |
| Thesis advisor | Shenoy, Krishna V. (Krishna Vaughn) |
| Thesis advisor | Goldsmith, Andrea, 1964- |
| Thesis advisor | Okamura, Allison |
| Degree committee member | Goldsmith, Andrea, 1964- |
| Degree committee member | Okamura, Allison |
| Associated with | Stanford University, Department of Electrical Engineering. |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Nir Even-Chen. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2018. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Nir Even Chen
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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