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...

詳細記述

書誌詳細
主要な著者: Marchant, S, van der Vaart, M, Pillay, K, Baxter, L, Bhatt, A, Fitzgibbon, S, Hartley, C, Slater, R
フォーマット: Journal article
言語:English
出版事項: IOP Publishing 2024

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