Separation of ERP and Noise Subspaces in EEG Data without Whitening

In this article, a method for separating linear subspaces of time-locked brain responses and other noise sources in multichannel electroencephalography data is proposed. The components related to time-locked and noise subspaces are distinguished by method based on different behavior they experience...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ivannikov, A., Karkkainen, T., Ristaniemi, T., Lyytinen, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Approximation algorithms Brain modeling Data processing Denoising Electroencephalography Enterprise resource planning Event-Related Potential Information technology Medical diagnostic imaging Noise reduction Psychology Subspace Separation Time measurement
Online-Zugang:	Volltext bestellen
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