The influence of motor tasks and cut-off parameter selection on artifact subspace reconstruction in EEG recordings
نویسندگان
چکیده
منابع مشابه
Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings
In this study, we present a method to remove ocular artifacts from electroencephalographic (EEG) recordings. This method is based on the detection of the EOG activation periods from a reference EOG channel, definition of covariance matrices containing the nonstationary information of the EOG, and applying generalized eigenvalue decomposition (GEVD) onto these matrices to rank the components in ...
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Artifact Removal from Eeg Recordings – an Overview
Electrical impulses generated by nerve firings in the brain diffuse through the head and can be measured by electrodes placed on the scalp, is known as electroencephalogram (EEG) and was first measured in humans by Hans Berger in 1929. The EEG gives a coarse view of neural activity and has been used to noninvasively study cognitive processes and the physiology of the brain. The analysis of EEG ...
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ژورنال
عنوان ژورنال: Medical & Biological Engineering & Computing
سال: 2020
ISSN: 0140-0118,1741-0444
DOI: 10.1007/s11517-020-02252-3