Feature Extraction of EEG Signal upon BCI Systems Based on Steady-State Visual Evoked Potentials Using the Ant Colony Optimization Algorithm
This work presents the use of swarm intelligence algorithms as a reliable method for the optimization of electroencephalogram signals for the improvement of the performance of the brain interfaces based on stable states visual events. The preprocessing of brain signals for the extraction of characte...
Saved in:
Main Authors: | S. M. Fernandez-Fraga, M. A. Aceves-Fernandez, J. C. Pedraza-Ortega, S. Tovar-Arriaga |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2018/2143873 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cooperative Identification of Prolonged Motor Movement From EEG for BCI Without Feedback
by: Alicia Falcon-Caro, et al.
Published: (2025-01-01) -
XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms
by: Tingting Zhang, et al.
Published: (2025-01-01) -
Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS
by: Vidya Nandikolla, et al.
Published: (2022-01-01) -
Meta-Analysis of Visual Evoked Potential and Parkinson’s Disease
by: Song-bin He, et al.
Published: (2018-01-01) -
Pattern-reversal visual evoked potentials in prosthetic vision and simulated visual reduction
by: Sandra R Montezuma, et al.
Published: (2024-05-01)