Slow Sphering to Suppress Non-Stationaries in the EEG

B. Reuderink; Jason Farquhar; Mannes Poel

Slow Sphering to Suppress Non-Stationaries in the EEG

B. Reuderink, Jason Farquhar, Mannes Poel

Research output: Contribution to journal › Article › Academic › peer-review

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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 language	Undefined
Pages (from-to)	78-79
Number of pages	2
Journal	International journal of bioelectromagnetism
Volume	13
Issue number	2
Publication status	Published - Aug 2011

Keywords

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

Access to Document

http://ijbem.k.hosei.ac.jp/2006-/volume13/number2/2011_v13_no2_78-79.pdf

Cite this

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title = "Slow Sphering to Suppress Non-Stationaries in the EEG",

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.",

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AU - Poel, Mannes

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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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JO - International journal of bioelectromagnetism

JF - International journal of bioelectromagnetism

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