Article

Robust Detection of Brain Stimulation Artifacts in iEEG Using Autoencoder-Generated Signals and ResNet Classification

2024-10-02

Abstract excerpt

<h4>Background</h4> Intracranial EEG (iEEG) is crucial for understanding brain function, but stimulation-induced noise complicates data interpretation. Traditional artifact detection methods require manual user input or struggle with noise variability, especially with limited labeled data. <h4>Objective</h4> We developed a supervised method to automatically detect stimulation-induced noise in human iEEG recordin...

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Literature Corpus work: df3c2599-6be6-5109-93dd-888e45fa8f27
DOI: 10.1101/2024.09.30.615930

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