title: Automatic detection of seizures and spikes.
abstract: The recording of seizures and spikes is of primary importance in the evaluation of epileptic patients. This is not always an easy process because these events can be rare and are usually unpredictable. Since the earliest days of computer analysis of the EEG, researchers have developed methods for the automatic detection of spikes and, more recently, of seizures. The problems are complex because spikes and seizures are not clearly defined and have extremely varied morphologies. Nevertheless, it has been possible to develop automatic detection methods that can be of great assistance during long-term monitoring of epileptic patients. No method is absolutely fail-safe and all require human validation, but they save a considerable amount of time in the interpretation of long recordings. Recent developments include detection of the patterns specific to newborns, and the possibility of warning a patient or observer that a seizure is starting.
authors.affiliation: Montreal Neurological Institute and Department of Neurology and Neurosurgery, McGill University, Montréal, Québec, Canada.
authors.forename: J
authors.initials: J
authors.lastname: Gotman
mesh_terms: D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D012640:Seizures / Q000175:diagnosis*; D014741:Video Recording / Q000379:methods