Denoising and Averaging Techniques for Electrophysiological Data

Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract / Description of output

Neurophysiological signals are often corrupted by noise that is significantly stronger than the signal itself. In electroencephalographic (EEG) data this may amount to figures of −25 dB (Flexer, 2000), for electromyography (EMG) or functional magnetic resonance imaging (fMRI) the situation is similar. The problem of the recovery of information under noise has been dealt with extensively in the literature of signal and image processing (Whalen, 1971; Castleman, 1996).
Original languageEnglish
Title of host publicationCoordinated Activity in the Brain
Subtitle of host publicationMeasurements and Relevance to Brain Function and Behavior
EditorsPerez Jose Luis Velazquez, Richard Wennberg
Place of PublicationNew York, NY
PublisherSpringer New York
Number of pages25
ISBN (Electronic)978-0-387-93797-7
ISBN (Print)978-0-387-93796-0
Publication statusPublished - 2009

Publication series

NameSpringer Series in Computational Neuroscience
PublisherSpringer New York
ISSN (Print)2197-1900


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