Information Technology Reference
In-Depth Information
Pfurtscheller G, da Silva FHL (1999) Event-related EEG/MEG synchronization and desynchro-
nization: basic principles. Clin Neurophysiol 110(11):1842 - 1857
Pudil P, Ferri FJ, Kittler J (1994) Floating search methods for feature selection with nonmonotonic
criterion functions. Pattern Recogn 2:279 - 283
Qin L, Ding L, He B (2004) Motor imagery classification by means of source analysis for brain
computer interface applications. J Neural Eng 1(3):135 - 141
Rakotomamonjy A, Guigue V (2008) BCI competition III: dataset II ensemble of SVMs for BCI
P300 speller. IEEE Trans Biomed Eng 55(3):1147
1154
Ramoser H, Muller-Gerking J, Pfurtscheller G (2000) Optimal spatial filtering of single trial EEG
during imagined hand movement. IEEE Trans Rehabilitation Eng 8(4):441
-
446
Raudys SJ, Jain AK (1991) Small sample size effects in statistical pattern recognition:
recommendations for practitioners. IEEE Trans Pattern Anal Mach Intell 13(3):252
-
264
-
Renard Y, Lotte F, Gibert G, Congedo M, Maby E, Delannoy V, Bertrand O, L
cuyer A (2010)
OpenViBE: an open-source software platform to design, test and use brain-computer interfaces
in real and virtual environments. Presence: teleoperators and virtual environments 19(1):35
é
53
Reuderink B, Poel M (2008) Robustness of the common spatial patterns algorithm in the BCI-
pipeline. Tech. rep., HMI, University of Twente
Rivet B, Souloumiac A, Attina V, Gibert G (2009) xDAWN algorithm to enhance evoked
potentials: application to brain computer interface. IEEE Trans Biomed Eng 56(8):2035
-
2043
-
Samek W, Vidaurre C, M
ü
ller KR, Kawanabe M (2012) Stationary common spatial patterns for
computer interfacing. J Neural Eng 9(2):026013
Sannelli C, Dickhaus T, Halder S, Hammer E, M
brain
-
ller KR, Blankertz B (2010) On optimal channel
con gurations for SMR-based brain-computer interfaces. Brain Topogr 23(2):186
ü
193, 32
Schl ö gl A, Brunner C, Scherer R, Glatz A (2007) BioSig an open source software library for BCI
research. In: Dornhege G, Mill á n JR, Hinterberger T, McFarland DJ, M ü ller K-R (eds)
Towards brain-computer interfacing, MIT press, Cambridge, pp 347 - 358, 20
Schr ö der M, Lal T, Hinterberger T, Bogdan M, Hill N, Birbaumer N, Rosenstiel W, Sch ö lkopf B
(2005) Robust EEG channel selection across subjects for brain-computer interfaces. EURASIP
J Appl Signal Process 19:3103 - 3112
Tangermann M, Winkler I, Haufe S, Blankertz B (2009) Classi cation of artifactual ICA
components. Int J Bioelectromagnetism 11(2):110 - 114
Thomas K, Guan C, Chiew T, Prasad V, Ang K (2009) New discriminative common spatial
pattern method for motor imagery brain computer interfaces. IEEE Trans Biomed Eng 56
(11):2730
-
2733
Tomioka R, Dornhege G, Aihara K, M
-
ller KR (2006) An iterative algorithm for spatio-temporal
filter optimization. In: Proceedings of the 3rd international brain-computer interface workshop
and training course 2006, pp 22
ü
23
Varela F, Lachaux J, Rodriguez E, Martinerie J (2001) The brainweb: phase synchronization and
large-scale integration. Nat Rev Neurosci 2(4):229
-
239
Vialatte F, Maurice M, Dauwels J, Cichocki A (2010) Steady-state visually evoked potentials:
Focus on essential paradigms and future perspectives. Prog Neurobiol 90:418
-
438
-
Vidaurre C, Kr
gl A (2009) Time domain parameters as a feature for
EEG-based brain computer interfaces. Neural Networks 22:1313
ä
mer N, Blankertz B, Schl
ö
1319
Xu N, Gao X, Hong B, Miao X, Gao S, Yang F (2004) BCI competition 2003
-
data set IIb:
enhancing P300 wave detection using ICA-based subspace projections for BCI applications.
IEEE Trans Biomed Eng 51(6):1067
-
1072
-
Zhong M, Lotte F, Girolami M, L
cuyer A (2008) Classifying EEG for brain computer interfaces
using Gaussian processes. Pattern Recogn Lett 29:354
é
359
-
Search WWH ::




Custom Search