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Objective
Long‐term automatic detection of focal seizures remains one of the major challenges in epilepsy due to the unacceptably high number of false alarms from state‐of‐the‐art methods. Our aim was to investigate to what extent a new patient‐specific approach based on similarly occurring morphological electroencephalographic (EEG) signal patterns could be used to distinguish seizures from nonseizure...
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