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Fig. 1 | BMC Medical Informatics and Decision Making

Fig. 1

From: Automated detection of activity onset after postictal generalized EEG suppression

Fig. 1

SUDEP EEG pattern. An example of an EEG signal snippet annotated by a clinician as containing the end of PGES (top), and not containing any such PGES state transition (bottom). The differentiation can only be made by experienced clinical professionals after thorough and contextual assessment of the recordings. These assessments are still often done only retrospectively (with the assistance of video). A real-time automated detection of PGES state transition will enable PGES characterization for SUDEP risk assessment

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