Article

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

2026-04-16

Abstract excerpt

<title>Abstract</title> <p>The generation of synthetic electroencephalography (EEG) data offers a promising solution to 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 produce realistic signals, progress in this field is constrained by the absenc...

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Literature Corpus work: 1e433790-b16b-5ae0-9d02-490e875e9afc
DOI: 10.21203/rs.3.rs-9010375/v1

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