NDLI: A Robust Method to Filter Various Types of Artifacts on Long Duration EEG Recordings

Content Provider	IEEE Xplore Digital Library
Author	Boudet, S. Peyrodie, L. Gallois, P. Vasseur, C.
Copyright Year	2008
Description	Author affiliation: LAGIS, HEI-ERASM, Lille (Boudet, S.; Peyrodie, L.)
Abstract	EEG is a system used to measure electrical brain activity using multiple electrodes placed on the scalp. Unfortunately, the signals can be easily contaminated by 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 activities. An expert analysis shows that the cerebral signal is well conserved while a lot of artifacts are removed.
Starting Page	2357
Ending Page	2360
File Size	453091
Page Count	4
File Format	PDF
ISBN	9781424417476
DOI	10.1109/ICBBE.2008.922
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Brain Stability Scalp Electric variables measurement Adaptive filters Muscles Electroencephalography Noise robustness Pollution measurement
Content Type	Text
Resource Type	Article

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