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

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...

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Bibliographic Details
Main Authors: Boudet, S., Peyrodie, L., Gallois, P., Vasseur, C.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Brain
Electric variables measurement
Electrodes
Electroencephalography
Muscles
Noise robustness
Pollution measurement
Scalp
Stability
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Summary: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.
ISSN:2151-7614
2151-7622
DOI:10.1109/ICBBE.2008.922