Slow Sphering to Suppress Non-Stationaries in the EEG

B. Reuderink, Jason Farquhar, Mannes Poel

Abstract

Non-stationary signals are ubiquitous in electroencephalogram (EEG) signals and pose a problem for robust application of brain-computer interfaces (BCIs). These non-stationarities can be caused by changes in neural background activity. We present a dynamic spatial filter based on time local whitening that significantly reduces the detrimental influence of covariance changes during event-related desynchronization classification of an imaginary movement task.
Original languageUndefined
Pages (from-to)78-79
Number of pages2
JournalInternational journal of bioelectromagnetism
Volume13
Issue number2
StatePublished - Aug 2011

Fingerprint

Brain computer interface
Electroencephalography

Keywords

  • EWI-20931
  • non-stationarities
  • electroencephalogram
  • Brain-Computer Interface
  • METIS-281616
  • IR-78201
  • common spatial patterns

Cite this

Reuderink, B., Farquhar, J., & Poel, M. (2011). Slow Sphering to Suppress Non-Stationaries in the EEG. 13(2), 78-79.

Reuderink, B.; Farquhar, Jason; Poel, Mannes / Slow Sphering to Suppress Non-Stationaries in the EEG.

Vol. 13, No. 2, 08.2011, p. 78-79.

Research output: Scientific - peer-reviewArticle

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keywords = "EWI-20931, non-stationarities, electroencephalogram, Brain-Computer Interface, METIS-281616, IR-78201, common spatial patterns",
author = "B. Reuderink and Jason Farquhar and Mannes Poel",
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Reuderink, B, Farquhar, J & Poel, M 2011, 'Slow Sphering to Suppress Non-Stationaries in the EEG' vol 13, no. 2, pp. 78-79.

Slow Sphering to Suppress Non-Stationaries in the EEG. / Reuderink, B.; Farquhar, Jason; Poel, Mannes.

Vol. 13, No. 2, 08.2011, p. 78-79.

Research output: Scientific - peer-reviewArticle

TY - JOUR

T1 - Slow Sphering to Suppress Non-Stationaries in the EEG

AU - Reuderink,B.

AU - Farquhar,Jason

AU - Poel,Mannes

PY - 2011/8

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N2 - Non-stationary signals are ubiquitous in electroencephalogram (EEG) signals and pose a problem for robust application of brain-computer interfaces (BCIs). These non-stationarities can be caused by changes in neural background activity. We present a dynamic spatial filter based on time local whitening that significantly reduces the detrimental influence of covariance changes during event-related desynchronization classification of an imaginary movement task.

AB - Non-stationary signals are ubiquitous in electroencephalogram (EEG) signals and pose a problem for robust application of brain-computer interfaces (BCIs). These non-stationarities can be caused by changes in neural background activity. We present a dynamic spatial filter based on time local whitening that significantly reduces the detrimental influence of covariance changes during event-related desynchronization classification of an imaginary movement task.

KW - EWI-20931

KW - non-stationarities

KW - electroencephalogram

KW - Brain-Computer Interface

KW - METIS-281616

KW - IR-78201

KW - common spatial patterns

M3 - Article

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Reuderink B, Farquhar J, Poel M. Slow Sphering to Suppress Non-Stationaries in the EEG. 2011 Aug;13(2):78-79.