Detecting EEG outliers for BCI on the Riemannian manifold using spectral clustering

Automatically detecting and removing Electroencephalogram (EEG) outliers is essential to design robust brain-computer interfaces (BCIs). In this paper, we propose a novel outlier detection method that works on the Riemannian manifold of sample covariance matrices (SCMs). Existing outlier detection m...

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Bibliographic Details

Published in:	Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Vol. 2020; pp. 438 - 441
Main Authors:	Yamamoto, Maria Sayu, Sadatnejad, Khadijeh, Tanaka, Toshihisa, Islam, Rabiul, Tanaka, Yuichi, Lotte, Fabien
Format:	Conference Proceeding Journal Article
Language:	English
Published:	IEEE 01.07.2020
ISSN:	2694-0604, 1558-4615, 2694-0604
Online Access:	Get full text
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