A machine learning artefact detection method for single-channel infant event-related potential studies
Objective. Automated detection of artefact in stimulus-evoked electroencephalographic (EEG) data recorded in neonates will improve the reproducibility and speed of analysis in clinical research compared with manual identification of artefact. Some studies use very short, single-channel epochs of EEG...
| Auteurs principaux: | , , , , , , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
IOP Publishing
2024
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