Improving detection and classification of steady-state visual evoked potentials in brain-computer interfaces

Author

Hadi Habibzadeh, University at Albany, State University of New YorkFollow

Date of Award

12-1-2022

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Electrical and Computer Engineering

Content Description

1 online resource (xx, 180 pages) : illustrations (some color)

Dissertation/Thesis Chair

Daphney-Stavroula Zois

Committee Members

Daphney-Stavroula Zois, James JS Norton, Hany Elgala, Gary J Saulnier

Keywords

brain-computer interface, color vision, electroencephalography, gaussian process, signal processing, stead-state visual evoked potential, Brain-computer interfaces, Color vision

Subject Categories

Biomedical Engineering and Bioengineering | Computer Engineering | Computer Sciences

Abstract

Brain-computer interfaces (BCIs) provide an alternative communication channel to send computer commands without requiring any voluntary muscle control. They benefit people with limited communication capabilities due to motor function deficits, spinal cord injuries, and neurological disorders. They may also have applications for healthy individuals.

Comments

Requested ProQuest takedown; end date on 01-31-25

Recommended Citation

Habibzadeh, Hadi, "Improving detection and classification of steady-state visual evoked potentials in brain-computer interfaces" (2022). Legacy Theses & Dissertations (2009 - 2024). 2919.
https://scholarsarchive.library.albany.edu/legacy-etd/2919