Kavli Affiliate: Edward Chang | Authors: Jeremy Saal, Ankit N. Khambhati, Edward F. Chang and Prasad Shirvalkar | Summary: Background 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. Objective We […]
Continue.. Robust Detection of Brain Stimulation Artifacts in iEEG Using Autoencoder-Generated Signals and ResNet Classification