Automatic artifact removal from EEG - a mixed approach based on double blind source separation and support vector machine
Electroencephalography (EEG) recordings are often obscured by physiological artifacts that can render huge amounts of data useless and thus constitute a key challenge in current brain-computer interface research. This paper presents a new algorithm that automatically and reliably removes artifacts f...
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| Veröffentlicht in: | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology 2010-01, Vol.2010, p.5383-5386 |
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| container_title | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology |
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| creator | Bartels, G Li-Chen Shi Bao-Liang Lu |
| description | Electroencephalography (EEG) recordings are often obscured by physiological artifacts that can render huge amounts of data useless and thus constitute a key challenge in current brain-computer interface research. This paper presents a new algorithm that automatically and reliably removes artifacts from EEG based on blind source separation and support vector machine. Performance on a motor imagery task is compared for artifact-contaminated and preprocessed signals to verify the accuracy of the proposed approach. The results showed improved results over all datasets. Furthermore, the online applicability of the algorithm is investigated. |
| doi_str_mv | 10.1109/IEMBS.2010.5626481 |
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| ispartof | 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.5383-5386 |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Adult Algorithm design and analysis Algorithms Automation - methods Brain modeling Electroencephalography Electroencephalography - methods Electromyography Electrooculography Humans Male Movement - physiology Muscles Muscles - physiology Support vector machines Young Adult |
| title | Automatic artifact removal from EEG - a mixed approach based on double blind source separation and support vector machine |
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