A new ICA-based fingerprint method for the automatic removal of physiological artifacts from EEG recordings
Background EEG may be affected by artefacts hindering the analysis of brain signals. Data-driven methods like independent component analysis (ICA) are successful approaches to remove artefacts from the EEG. However, the ICA-based methods developed so far are often affected by limitations, such as: t...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2018-02-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/4380.pdf |