EEG in the diagnosis, classification, and management of patients with epilepsy

By S. J. Smith. Journal of Neurology Neurosurgery & Psychiatry, 2005

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Learning Robust Features using Deep Learning for Automatic Seizure Detection (2016, background): “In contrast, offline detection focuses on analyzing recordings that are completed and aims to automatically label these recordings for the purposes of diagnosis, monitoring or treatment planning (SJ, 2005).”
Soft, curved electrode systems capable of integration on the auricle as a persistent brain–computer interface (2015, background): “EEG is instrumental in a wide range of clinical and research applications, from diagnosing epilepsy (2) to improving our understanding of language comprehension (3) and the development of brain–computer interfaces (BCI) (4).”
EEG focal delta slowing in focal epilepsy – A didactic review (2025, unknown): “Unfortunately, while IEDs are a specific marker of epilepsy, routine EEG displays epileptogenic abnormality in only 25 – 43 % of new onset epilepsy cases (De Stefano et al., 2023; King et al., 1998) and, overall, EEG has thus a low sensitivity for epilepsy (Smith, 2005).”