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Brain Signal AnalysisAdvances in Neuroelectric and Neuromagnetic Methods$
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Todd C. Handy

Print publication date: 2009

Print ISBN-13: 9780262013086

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262013086.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 13 June 2021

Procedures and Strategies for Optimizing the Signal-to-Noise Ratio in Event-Related Potential Data

Procedures and Strategies for Optimizing the Signal-to-Noise Ratio in Event-Related Potential Data

Chapter:
(p.205) 8 Procedures and Strategies for Optimizing the Signal-to-Noise Ratio in Event-Related Potential Data
Source:
Brain Signal Analysis
Author(s):

Durk Talsma

Anne-Laura van Harmelen

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262013086.003.0008

This chapter describes how the signal-to-noise ratio of event-related data can be optimized via experimental design considerations, and examines a variety of strategies to optimize the signal-to-noise ratio of event-related potentials, while keeping the length of the experiment down to a reasonable time. It shows that signal quality can be optimized by careful online monitoring of the incoming electoencephalography (EEG) signals during recording, and knowing when and how to fix faulty EEG channels. During offline analysis, several methods are available that can help in removing large recording artifacts from the data.

Keywords:   event-related potential, electoencephalography, experimental design, channels, recording

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