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Dynamic Training of a Novelty Classifier Algorithm for Real-Time Early Seizure Onset Detection

Autor: Mackenzie C. Cervenka, Gregory K. Bergey, Ehrens D, Christophe C. Jouny

The objective of this study was to develop an adaptive framework for seizure detection in real-time that is practical to use in the Epilepsy Monitoring Unit (EMU) as a warning signal, and whose output helps characterize epileptiform activity. Our fra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::799cbab01679bdb1bbc1212b876f1200
https://doi.org/10.1101/2021.03.06.21253045

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Automated inter-patient seizure detection using multichannel Convolutional and Recurrent Neural Networks

Autor: Emily Johnson, Archana Venkataraman, Christophe C. Jouny, Jeff Craley

Publikováno v: Biomedical Signal Processing and Control. 64:102360

We present an end-to-end deep learning model that can automatically detect epileptic seizures in multichannel electroencephalography (EEG) recordings. Our model combines a Convolutional Neural Network (CNN) and a Bidirectional Long Short-Term Memory

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::01dc069d09f98ea41bbf3272fd258e4b
https://doi.org/10.1016/j.bspc.2020.102360

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Automated Noninvasive Seizure Detection and Localization Using Switching Markov Models and Convolutional Neural Networks

Autor: Emily Johnson, Jeff Craley, Christophe C. Jouny, Archana Venkataraman

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030322502
MICCAI (4)

We introduce a novel switching Markov model for combined epileptic seizure detection and localization from scalp electroencephalography (EEG). Using a hierarchy of Markov chains to fuse multichannel information, our model detects seizure onset, local

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1b58ecdc73c96d6e99f90eb82342ee9b
https://doi.org/10.1007/978-3-030-32251-9_28

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Termination patterns of complex partial seizures: An intracranial EEG study

Autor: Pegah Afra, Gregory K. Bergey, Christopher C. Jouny

Publikováno v: Seizure. 32:9-15

PurposeWhile seizure onset patterns have been the subject of many reports, there have been few studies of seizure termination. In this study we report the incidence of synchronous and asynchronous termination patterns of partial seizures recorded wit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d96671b055a8e92c754b3f14ad068bc4

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Characterization of early partial seizure onset: Frequency, complexity and entropy

Autor: Christophe C. Jouny, Gregory K. Bergey

Publikováno v: Clinical Neurophysiology. 123:658-669

A clear classification of partial seizures onset features is not yet established. Complexity and entropy have been very widely used to describe dynamical systems, but a systematic evaluation of these measures to characterize partial seizures has neve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b74c0eacea859b3c20ff3e3a0d96e5f0
https://doi.org/10.1016/j.clinph.2011.08.003

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Akademický článek

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Characterization of epileptic seizure dynamics using Gabor atom density

Autor: Piotr J. Franaszczuk, Christophe C. Jouny, Gregory K. Bergey

Publikováno v: Clinical Neurophysiology. 114:426-437

Objective : The study of epileptic electroencephalograph (EEG) dynamics can potentially provide insights into seizure onset, evolution and termination. We propose a new synthetic measure based on time–frequency decomposition to provide detailed cha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d80af7ac844b0733352638cc35dfea34
https://doi.org/10.1016/s1388-2457(02)00344-9

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Computing network-based features from intracranial EEG time series data: Application to seizure focus localization

Autor: Austin Jordan, Robert B. Yaffe, William S. Anderson, Sandya Subramanian, Gregory K. Bergey, Stephanie Hao, Sridevi V. Sarma, Sabato Santaniello, Christophe C. Jouny

Publikováno v: EMBC

The surgical resection of the epileptogenic zone (EZ) is the only effective treatment for many drug-resistant epilepsy (DRE) patients, but the pre-surgical identification of the EZ is challenging. This study investigates whether the EZ exhibits a com

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4d073476667c5b7c5b0841efe538101
https://pubmed.ncbi.nlm.nih.gov/25571317

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Is waking electroencephalographic activity a predictor of daytime sleepiness in sleep-related breathing disorders?

Autor: Emilia Sforza, C. Jouny, Thierry Rochat, S. Grandin, Vincent Ibanez

Publikováno v: European Respiratory Journal. 19:645-652

No data are available in the literature assessing the potential use of waking electroencephalographic (EEG) activity in the detection of excessive daytime sleepiness (EDS) in patients with sleep-related breathing disorders (SRBD). The aim of this stu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d3f2680790b4a4691c3c69055c2d38f
https://doi.org/10.1183/09031936.02.00267302

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