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A robust method to filter various types of artifacts on long duration EEG recordings
Submitted by ninjasam on Wed, 10/27/2010 - 15:27
TitleA robust method to filter various types of artifacts on long duration EEG recordings
Publication TypeInternational Conference Proceedings
Year of Publication2008
AuthorsBoudet, S., L. Peyrodie, P. Gallois, and C. Vasseur
Conference Name2nd International Conference IEEE-ICBBE
Pagination2357 - 2360
Abstract The EEG is a system to measure electrical brain activity using multiple electrodes placed on the scalp. Unfortunately, the signal can be easily contaminated by a lot of noises called artifacts. These can be generated by various actions such as eye blinks, eye movements, muscle activities or small electrode movements. This paper presents a global artifact removal method corresponding to an evolution of the AFOP method (Adaptive Filtering by Optimal Projection) in order to improve its stability. This evolution automatically filters ocular, muscular and heart beat artifacts. The results are validated on long duration EEG recordings containing pathological activity. An expert analysis shows that the cerebral signal is well conserved while a lot of artifacts are removed.
URLhttp://www.samuelboudet.com/sites/default/files/articles/Icbbe08.pdf
Last updated: 27th of October 2010
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