Embedding decomposition for artifacts removal in EEG signals
Objective.Electroencephalogram (EEG) recordings are often contaminated with artifacts. Various methods have been developed to eliminate or weaken the influence of artifacts. However, most of them rely on prior experience for analysis.Approach.Here, we propose an deep learning framework to separate n...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |