Classification of Artefacts in EEG Signal Recordings and EOG Artefact Removal using EOG Subtraction
نویسندگان
چکیده
منابع مشابه
Removal of EOG Artifacts from EEG Recordings Using Stationary Subspace Analysis
An effective approach is proposed in this paper to remove ocular artifacts from the raw EEG recording. The proposed approach first conducts the blind source separation on the raw EEG recording by the stationary subspace analysis (SSA) algorithm. Unlike the classic blind source separation algorithms, SSA is explicitly tailored to the understanding of distribution changes, where both the mean and...
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Artifact rejection techniques are used to recover the brain signals underlying artifactual electroencephalographic (EEG) segments. Although over the last few years many different artifact rejection techniques have been proposed (http://dx.doi.org/10.1109/JSEN.2011.2115236[1], http://dx.doi.org/10.1016/j.clinph.2006.09.003[2], http://dx.doi.org/10.3390/e16126553[3]), none has been established as...
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The recorded electroencephalography (EEG) signals are usually contaminated by electrooculography (EOG) artifacts. In this project, the multivariate empirical mode decomposition (MEMD)method will be proposed to remove EOG artifacts (EOAs) from multichannel EEG signals. Firstly, the EEG signals will be decomposed by the MEMD into multiple multivariate intrinsic mode functions (MIMFs). The EOG-rel...
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ژورنال
عنوان ژورنال: Communications on Applied Electronics
سال: 2016
ISSN: 2394-4714
DOI: 10.5120/cae2016651997