Finding Stationary brain sources in EEG data

Paul Von Bünau, Frank C. Meinecke, Simon Scholler, Klaus Muller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Citations (Scopus)

Abstract

Neurophysiological measurements obtained from e.g. EEG or fMRI are inherently non-stationary because the properties of the underlying brain processes vary over time. For example, in Brain-Computer-Interfacing (BCI), deteriorating performance (bitrate) is a common phenomenon since the parameters determined during the calibration phase can be suboptimal under the application regime, where the brain state is different, e.g. due to increased tiredness or changes in the experimental paradigm. We show that Stationary Subspace Analysis (SSA), a time series analysis method, can be used to identify the underlying stationary and non-stationary brain sources from high-dimensional EEG measurements. Restricting the BCI to the stationary sources found by SSA can significantly increase the performance. Moreover, SSA yields topographic maps corresponding to stationary- and non-stationary brain sources which reveal their spatial characteristics.

Original languageEnglish
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Pages2810-2813
Number of pages4
DOIs
Publication statusPublished - 2010 Dec 1
Externally publishedYes
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: 2010 Aug 312010 Sep 4

Other

Other2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
CountryArgentina
CityBuenos Aires
Period10/8/3110/9/4

Fingerprint

Electroencephalography
Brain
Time series analysis
Calibration

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Von Bünau, P., Meinecke, F. C., Scholler, S., & Muller, K. (2010). Finding Stationary brain sources in EEG data. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 (pp. 2810-2813). [5626537] https://doi.org/10.1109/IEMBS.2010.5626537

Finding Stationary brain sources in EEG data. / Von Bünau, Paul; Meinecke, Frank C.; Scholler, Simon; Muller, Klaus.

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 2810-2813 5626537.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Von Bünau, P, Meinecke, FC, Scholler, S & Muller, K 2010, Finding Stationary brain sources in EEG data. in 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10., 5626537, pp. 2810-2813, 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10, Buenos Aires, Argentina, 10/8/31. https://doi.org/10.1109/IEMBS.2010.5626537
Von Bünau P, Meinecke FC, Scholler S, Muller K. Finding Stationary brain sources in EEG data. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. p. 2810-2813. 5626537 https://doi.org/10.1109/IEMBS.2010.5626537
Von Bünau, Paul ; Meinecke, Frank C. ; Scholler, Simon ; Muller, Klaus. / Finding Stationary brain sources in EEG data. 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10. 2010. pp. 2810-2813
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