TY - GEN
T1 - Performance comparison of spatial filter with multiple BMFLCs for BCI applications
AU - Wang, Yubo
AU - Gonuguntla, Venkateswarlu
AU - Shafiq, Ghufran
AU - Veluvolu, Kalyana C.
PY - 2013
Y1 - 2013
N2 - The subjects can learn to modulate their EEG pattern to achieve multiple targets in brain-computer interface systems. The modulation can occur in both α and β bands of the EEG signal. To successfully identify these modulated EEG patterns, multiple band-limited multiple Fourier linear combiner (BMFLCs) are employed to estimate the amplitude variations in EEG. To achieve better signal to noise ratio, spatial filter is paired with BMFLC for classification with linear discriminant analysis. Various existing spatial filters are paired with BMFLC and the performance is compared to identify the best spatial filters for classification of four targets in BCI Competition 2003 data set II(a). Results show that the Tikhonov regularized common spatial filter (TRCSP) paired with BMFLC provides better accuracy in comparison with other spatial filters.
AB - The subjects can learn to modulate their EEG pattern to achieve multiple targets in brain-computer interface systems. The modulation can occur in both α and β bands of the EEG signal. To successfully identify these modulated EEG patterns, multiple band-limited multiple Fourier linear combiner (BMFLCs) are employed to estimate the amplitude variations in EEG. To achieve better signal to noise ratio, spatial filter is paired with BMFLC for classification with linear discriminant analysis. Various existing spatial filters are paired with BMFLC and the performance is compared to identify the best spatial filters for classification of four targets in BCI Competition 2003 data set II(a). Results show that the Tikhonov regularized common spatial filter (TRCSP) paired with BMFLC provides better accuracy in comparison with other spatial filters.
KW - BMFLC
KW - Brain-computer interface
KW - LDA
KW - Spatial filter
UR - https://www.scopus.com/pages/publications/84893426813
U2 - 10.1007/978-3-642-42054-2_51
DO - 10.1007/978-3-642-42054-2_51
M3 - Conference contribution
AN - SCOPUS:84893426813
SN - 9783642420535
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 411
EP - 418
BT - Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
T2 - 20th International Conference on Neural Information Processing, ICONIP 2013
Y2 - 3 November 2013 through 7 November 2013
ER -