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A Solution for Reliable and Valid Reduction of Ocular Artifacts, Applied to the P300 ERP

Semlitsch, Heribert V., Anderer, Peter, Schuster, Peter, Presslich, Otto·1986·Psychophysiology
DOI 10.1111/j.1469-8986.1986.tb00696.x
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Abstract

The P300 ERP was measured in 10 subjects each for 9 days. The selection of instructions for subjects, the recording technique, the elimination of a few single trials significantly contaminated by eye movements, and the use of a correction procedure for ocular artifacts with calculable reliability and validity resulted in a set of data, in which 94% of the single trials were suitable for further analysis. The correction procedure relies on regression analysis. To reduce coherence between eyeblink activity and ongoing EEG, VEOG and EEG are averaged on eyeblinks. This yields a high reliability and validity of regression factors, determined per day, subject, and lead. In addition, this correction procedure allows for an estimation of the maximal error that must be taken into account. The efficiency of the procedure is demonstrated for single trials and averaged potentials.

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Research works printed but not linked: 23

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Metadata

Authors
Semlitsch, H. V., Anderer, P., Schuster, P., & Presslich, O.
Venue
Psychophysiology
Publisher
Wiley
Published
1986-11
Volume
23
Issue
6
Pages
695-703
ISSN
  • 0048-5772 (ISSN-L)
  • 1469-8986
DOI
10.1111/j.1469-8986.1986.tb00696.x
OpenAlex
W1967570549
Cited by
2,020
References
1
FWCI
0.27
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 7395 d)

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CoChat. (2026). Citation check: A Solution for Reliable and Valid Reduction of Ocular Artifacts, Applied to the P300 ERP. https://app.cochat.ai/papers/10.1111/j.1469-8986.1986.tb00696.x
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Semlitsch, H. V., Anderer, P., Schuster, P., & Presslich, O. (1986). A Solution for Reliable and Valid Reduction of Ocular Artifacts, Applied to the P300 ERP. Psychophysiology. https://doi.org/10.1111/j.1469-8986.1986.tb00696.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.