Unsupervised EEG Artifact Detection and Correction

Unsupervised EEG Artifact Detection and Correction

Electroencephalography (EEG) is used in the diagnosis, monitoring, and prognostication of many neurological ailments including seizure, coma, sleep disorders, brain injury, and behavioral abnormalities. One of the primary challenges of EEG data is its sensitivity to a breadth of non-stationary noise...

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Bibliographic Details
Main Authors: Sari Saba-Sadiya, Eric Chantland, Tuka Alhanai, Taosheng Liu, Mohammad M. Ghassemi
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Digital Health
Subjects:
electroencephalography
artifact rejection
brain computer interface
unsupervised learning
artifact removal
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2020.608920/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2020.608920/full

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