Single-trial detection in EEG and MEG: Keeping it linear

  title={Single-trial detection in EEG and MEG: Keeping it linear},
  author={Lucas C. Parra and Christopher V. Alvino and Akaysha C. Tang and Barak A. Pearlmutter and Nick Yeung and Allen Osman and Paul Sajda},
Conventional electroencephalography (EEG) and magnetoencephalography (MEG) analysis often rely on averaging over multiple trials to extract statistically relevant di7erences between two or more experimental conditions. We demonstrate that by linearly integrating information over multiple spatially distributed sensors within a prede9ned time window, one can discriminate conditions on a trial-by-trial basis with high accuracy. We restrict ourselves to a linear integration as it allows the… CONTINUE READING
Highly Cited
This paper has 75 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.


Publications citing this paper.
Showing 1-10 of 30 extracted citations

Feasibility of using single-channel EEG waveforms for single-trial classification of viewed characters

2010 International Conference on Information Society • 2010
View 14 Excerpts
Highly Influenced

Single-trial detection of realistic images with magnetoencephalography

2015 International Joint Conference on Neural Networks (IJCNN) • 2015
View 1 Excerpt

76 Citations

Citations per Year
Semantic Scholar estimates that this publication has 76 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 14 references

Imaging the body with di7use optical tomography

D. A. Boas
IEEE Signal Process. Mag • 2001
View 1 Excerpt

Motor imagery and direct brain-computer communication

G. Pfurtscheller, C. Neuper
Proc. IEEE 89 (7) • 2001
View 1 Excerpt

Pattern Classi9cation

R. Duda, P. Hart, D. Stork
Wiley, New York • 2001
View 2 Excerpts

Optimal spatial 9ltering of single trial EEG during imagined hand movement

H. Ramoser, J. Mueller-Gerking, G. Pfurtscheller
IEEE Trans. Rehab. Eng. 8 (4) • 2000
View 1 Excerpt

Adaptive Filter Theory

S. Haykin
Prentice-Hall, Englewood Cli7s, NJ • 1996
View 1 Excerpt

Similar Papers

Loading similar papers…