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OBJECTIVES We developed perception-based spike detection and clustering algorithms. METHODS The detection algorithm employs a novel, multiple monotonic neural network (MMNN). It is tested on two short-duration EEG databases containing 2400 spikes from 50 epilepsy patients and 10 control subjects. Previous studies are compared for database difficulty and(More)
OBJECTIVE The aim of this study is to evaluate an improved seizure detection algorithm and to compare with two other algorithms and human experts. METHODS 672 seizures from 426 epilepsy patients were examined with the (new) Reveal algorithm which utilizes 3 methods, novel in their application to seizure detection: Matching Pursuit, small neural(More)
Lamotrigine (LTG), a newly introduced antiepileptic drug, appears to have potential therapeutic advantages for the treatment of patients with partial-onset seizures. Increasing clinical application and research of LTG demand a simpler and more rapid analytical procedure to determine LTG concentration in body fluids and tissues. The authors have developed an(More)
Information regarding outcome in patients with psychogenic nonepileptic seizures (PNES) is limited. We attempted to contact 72 consecutive patients with PNES confirmed by video-EEG monitoring: 51 of 72 (71%) were reached a mean of 15 months (range 12-27 months) after diagnosis and agreed to answer a structured telephone questionnaire. The questionnaire(More)
There is strong evidence for a genetic contribution to epilepsy, but it is commonly assumed that this genetic contribution is limited to 'generalized' epilepsies, and that most forms of 'partial' epilepsy are nongenetic. In a linkage analysis of a single family containing 11 affected individuals, we obtained strong evidence for localization of a gene for(More)
PURPOSE We wished to assess the reliability of the International League Against Epilepsy (ILAE) seizure classification system applied to infantile seizures and to test a proposed new classification. METHODS We first analyzed 39 seizures in 20 infants (aged 1-26 months) recorded with simultaneous closed-circuit television and EEG (CCTV/EEG). EEGs and(More)
Methods for standardized classification of epileptic seizures are important for both clinical practice and epidemiologic research. In this study, we developed a strategy for standardized classification using a semistructured telephone interview and operational diagnostic criteria. We interviewed 1,957 adults with epilepsy ascertained from voluntary(More)
Continuous EEG monitoring (CEEG) is a powerful tool for evaluating cerebral function in obtunded and comatose critically ill patients. The ongoing analysis of CEEG data is a major task because of the volume of data generated during monitoring and the need for near real-time interpretation of a patient's EEG patterns. Advances in digital EEG data(More)