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    The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network by A.V. Medvedev, B. Lehmann

    Published 2025-02-01
    “…The analysis is done on the EEG records from the Temple University Hospital database. Absence seizures (n = 94) from 12 patients were taken into analysis along with segments of background activity. …”
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