Multi-task seizure detection: addressing intra-patient variation in seizure morphologies
نویسندگان
چکیده
منابع مشابه
Early seizure detection.
For patients with medically intractable epilepsy, there have been few effective alternatives to resective surgery, a destructive, irreversible treatment. A strategy receiving increased attention is using interictal spike patterns and continuous EEG measurements from epileptic patients to predict and ultimately control seizure activity via chemical or electrical control systems. This work compar...
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Differential operators can detect significant changes in signals. This has been utilized to enhance the contrast of the seizure signatures in depth EEG or ECoG. We have actually taken normalized exponential of absolute value of single or double derivative of epileptic ECoG. This in short we call differential filtering. Windowed variance operation has been performed to automatically detect seizu...
متن کاملTitle 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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We propose and compare two multi-channel fusion schemes to utilize the information extracted from simultaneously recorded multiple newborn electroencephalogram (EEG) channels for seizure detection. The first approach is known as the multi-channel feature fusion. It involves concatenating EEG feature vectors independently obtained from the different EEG channels to form a single feature vector. ...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2015
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-015-5519-7