The Riemannian Potato: an automatic and adaptive artifact detection method for online experiments using Riemannian geometry

A Barachant, A Andreev, M Congedo�- TOBI Workshop lV, 2013 - hal.science
TOBI Workshop lV, 2013hal.science
The Riemannian Potato: an automatic and adaptive artifact detection method for online
experiments using Riemannian geometry Page 1 HAL Id: hal-00781701 https://hal.science/hal-00781701
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Artifacts management is a critical problem in any applications involving on-line processing of EEG signals. This paper presents a multivariate automatic and adaptive method for identifying artifacts in continuous EEG data.
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