A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography
Independent Component Analysis (ICA) is a conventional approach to exclude non-brain signals such as eye movements and muscle artifacts from electroencephalography (EEG). A rejection of independent components (ICs) is usually performed in semiautomatic mode and requires experts’ involvement. As also...
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Main Authors: | Gurgen Soghoyan, Alexander Ledovsky, Maxim Nekrashevich, Olga Martynova, Irina Polikanova, Galina Portnova, Anna Rebreikina, Olga Sysoeva, Maxim Sharaev |
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Format: | article |
Language: | EN |
Published: |
Frontiers Media S.A.
2021
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Online Access: | https://doaj.org/article/9d25f5e1329440c78e8fc7e2d97a4dd4 |
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