Adaptive filtering of EEG/ERP through Bounded Range Artificial Bee Colony (BR-ABC) algorithm
- 1 February 2014
- journal article
- Published by Elsevier BV in Digital Signal Processing
- Vol. 25, 164-172
- https://doi.org/10.1016/j.dsp.2013.10.019
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Extreme Learning Machine for Regression and Multiclass ClassificationIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2012
- EEG-based Brain-Computer Interfaces: An Overview of Basic Concepts and Clinical Applications in NeurorehabilitationProgress in Neurobiology, 2010
- A new design method based on artificial bee colony algorithm for digital IIR filtersJournal of the Franklin Institute, 2009
- Movement-Related Cortical Evoked Potentials Using Four-Limb ImageryInternational Journal of Neuroscience, 2009
- EEG Signal ProcessingPublished by Wiley ,2007
- Extreme learning machine: Theory and applicationsNeurocomputing, 2006
- CLASSIFICATION OF MENTAL TASKS FROM EEG SIGNALS USING EXTREME LEARNING MACHINEInternational Journal of Neural Systems, 2006
- Removal of ocular artifact from the EEG: a reviewNeurophysiologie Clinique, 2000
- Tracking of changes in latency and amplitude of the evoked potential by using adaptive LMS filters and exponential averagersIEEE Transactions on Biomedical Engineering, 1993
- Adaptive Filterng of Evoked PotentialsIEEE Transactions on Biomedical Engineering, 1987