Article

EEG-to-Report: An Annotation and Feature–Text Framework for Training Language Models on Clinical EEG

2026-07-24

Abstract excerpt

<title>Abstract</title> <p>Clinical electroencephalography (EEG) reporting remains largely manual and time-consuming, and current EEG software ecosystems are not designed to pro duce the structured EEG–text supervision needed for training modern language models. Most toolboxes focus on visualization, preprocessing, or event marking, but provide limited support for clinician-centred workflows that simultaneously g...

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Literature Corpus work: 5985f620-dfdd-560d-88c1-85b073f2f922
DOI: 10.21203/rs.3.rs-10452606/v1

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