Patient-specific seizure onset detection
نویسندگان
چکیده
منابع مشابه
Title Improved patient specific seizure detection during pre - surgicalevaluation
Publisher's statement This is the author’s version of a work that was accepted for publication in Clinical Neurophysiology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A de...
متن کاملImproved patient specific seizure detection during pre-surgical evaluation.
OBJECTIVE There is considerable interest in improved off-line automated seizure detection methods that will decrease the workload of EEG monitoring units. Subject-specific approaches have been demonstrated to perform better than subject-independent ones. However, for pre-surgical diagnostics, the traditional method of obtaining a priori data to train subject-specific classifiers is not practica...
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This thesis addresses the problem of real-time epileptic seizure detection from intracranial EEG (IEEG). One difficulty in creating an approach that can be used for many patients is the heterogeneity of seizure IEEG patterns across different patients and even within a patient. In addition, simultaneously maximizing sensitivity and minimizing latency and false detection rates has been challengin...
متن کاملAutomatic Detection of Seizure Onset in Pediatric Eeg
This paper proposes a method for automatic detection of seizure onset. Two statistical features: skewness and kurtosis with a wavelet based feature: normalized coefficient of variation (NCOV) were extracted from the data. The classification between normal and seizure EEGs was performed using simple linear classifier. The performance of the algorithm was tested on the 10 patient’s data of CHB-MI...
متن کاملAn algorithm for seizure onset detection using intracranial EEG.
This article addresses the problem of real-time seizure detection from intracranial EEG (IEEG). One difficulty in creating an approach that can be used for many patients is the heterogeneity of seizure IEEG patterns across different patients and even within a patient. In addition, simultaneously maximizing sensitivity and minimizing latency and false detection rates has been challenging as thes...
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ژورنال
عنوان ژورنال: Epilepsy & Behavior
سال: 2004
ISSN: 1525-5050
DOI: 10.1016/j.yebeh.2004.05.005