Evaluation of EEG Foundation Models for Event-Based Burst-Suppression Detection in ICU
Burst suppression (BS) is a clinically relevant electroencephalographic (EEG) pattern used to monitor sedation depth and brain activity in critically ill patients, particularly during induced coma in Intensive Care Units (ICUs). Automatic burst detection remains challenging because BS patterns vary substantially between patients and annotated datasets are scarce. Recently, EEG Foundation Models (FMs) have shown promise across several downstream EEG applications, but their usefulness for BS detection remains unexplored. We present the first study to evaluate EEG FMs for burst detection in reduced-montage ICU EEG without patient-specific calibration. We compare REVE-base, LUNA-large and LuM...
| Authors | Elisa Vasta, Thorir Mar Ingolfsson, Andrea Cossettini et al. |
|---|---|
| Primary category | eess.SP |
| Published | 18 June 2026 |
| Last updated at source | 18 June 2026 |
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