EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces
- 1 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 51
- https://doi.org/10.1109/cvprw.2003.10044
Abstract
Electroencephalogram (EEG) signals recorded from a persons scalp have been used to control binary cursor movements. Multiple choice paradigms will require more sophisticated protocols involving multiple mental tasks and signal representations that capture discriminatory characteristics of the EEG signals. In this study, six-channel EEG is recorded from a subject performing two mental tasks. The signals are transformed via the Karhunen-Loéve or maximum noise fraction transformations and classified by quadratic discriminant analysis. In addition, classification accuracy is tested for all subsets of the six EEG channels. Best results are approximately 90% correct when training and testing data are recorded on the same day and 75% correct when training and testing data are recorded on different days.Keywords
This publication has 16 references indexed in Scilit:
- Comparison of linear, nonlinear, and feature selection methods for EEG signal classificationIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2003
- Geometric Analysis for the Characterization of Nonstationary Time SeriesPublished by Springer Nature ,2003
- Recent advances in EEG signal analysis and classificationPublished by Cambridge University Press (CUP) ,2001
- The mental prosthesis: assessing the speed of a P300-based brain-computer interfaceIEEE Transactions on Rehabilitation Engineering, 2000
- Linear classification of low-resolution EEG patterns produced by imagined hand movementsIEEE Transactions on Rehabilitation Engineering, 2000
- The thought translation device (TTD) for completely paralyzed patientsIEEE Transactions on Rehabilitation Engineering, 2000
- A new mode of communication between man and his surroundingsIEEE Transactions on Biomedical Engineering, 1990
- Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentialsElectroencephalography and Clinical Neurophysiology, 1988
- A transformation for ordering multispectral data in terms of image quality with implications for noise removalIEEE Transactions on Geoscience and Remote Sensing, 1988
- Lateral Specialization of Cognitive Mode: II. EEG Frequency AnalysisPsychophysiology, 1974