Article

Automated detection of artefacts in neonatal EEG with residual neural networks

2021-05-24

Abstract excerpt

<h4>Background and Objective</h4> To develop a computational algorithm that detects and identifies different artefact types in neonatal electroencephalography (EEG) signals. <h4>Methods</h4> As part of a larger algorithm, we trained a Residual Deep Neural Network on expert human annotations of EEG recordings from 79 term infants recorded in a neonatal intensive care unit (112 h of 18-channel recording). The netw...

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Literature Corpus work: 635af0cd-e76e-5ea8-b687-2dd91caae137
DOI: 10.1101/2021.05.23.445349

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