Sem Hoogteijling

Interpretable metrics for evaluating fidelity, diversity, and privacy in synthetic EEG data

The generation of synthetic electroencephalography (EEG) data offers a promising strategy to mitigate the limited availability of clinical neurophysiological recordings, particularly intracranial EEG (iEEG), where acquisition is invasive, complex, and restricted to small patient cohorts. Although generative models can...