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EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction

This paper tackles the complex issue of detecting and classifying epileptic seizures whilst maintaining the total calculations at a minimum. Where many systems depend on the coupling between multiple sources, leading to hundreds of combinations of electrodes, our method calculates the instantaneous...

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Detalles Bibliográficos
Autores principales: Romaine, James Brian, Pereira Martín, Mario, Salvador Ortiz, José Ramón, Manzano Crespo, José María
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073763/
https://www.ncbi.nlm.nih.gov/pubmed/33921588
http://dx.doi.org/10.3390/brainsci11040516
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author Romaine, James Brian
Pereira Martín, Mario
Salvador Ortiz, José Ramón
Manzano Crespo, José María
author_facet Romaine, James Brian
Pereira Martín, Mario
Salvador Ortiz, José Ramón
Manzano Crespo, José María
author_sort Romaine, James Brian
collection PubMed
description This paper tackles the complex issue of detecting and classifying epileptic seizures whilst maintaining the total calculations at a minimum. Where many systems depend on the coupling between multiple sources, leading to hundreds of combinations of electrodes, our method calculates the instantaneous phase between non-identical upper and lower envelopes of a single-electroencephalography channel reducing the workload to the total number of electrode points. From over 600 h of simulations, our method shows a sensitivity and specificity of [Formula: see text] for high false-positive rates and [Formula: see text] and [Formula: see text] , respectively, for moderate to low false positive rates, which compares well to both single- and multi-channel-based methods. Furthermore, pre-ictal variations in synchronisation were detected in over [Formula: see text] of patients implying a possible prediction system.
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spelling pubmed-80737632021-04-27 EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction Romaine, James Brian Pereira Martín, Mario Salvador Ortiz, José Ramón Manzano Crespo, José María Brain Sci Article This paper tackles the complex issue of detecting and classifying epileptic seizures whilst maintaining the total calculations at a minimum. Where many systems depend on the coupling between multiple sources, leading to hundreds of combinations of electrodes, our method calculates the instantaneous phase between non-identical upper and lower envelopes of a single-electroencephalography channel reducing the workload to the total number of electrode points. From over 600 h of simulations, our method shows a sensitivity and specificity of [Formula: see text] for high false-positive rates and [Formula: see text] and [Formula: see text] , respectively, for moderate to low false positive rates, which compares well to both single- and multi-channel-based methods. Furthermore, pre-ictal variations in synchronisation were detected in over [Formula: see text] of patients implying a possible prediction system. MDPI 2021-04-19 /pmc/articles/PMC8073763/ /pubmed/33921588 http://dx.doi.org/10.3390/brainsci11040516 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Romaine, James Brian
Pereira Martín, Mario
Salvador Ortiz, José Ramón
Manzano Crespo, José María
EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
title EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
title_full EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
title_fullStr EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
title_full_unstemmed EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
title_short EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
title_sort eeg—single-channel envelope synchronisation and classification for seizure detection and prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073763/
https://www.ncbi.nlm.nih.gov/pubmed/33921588
http://dx.doi.org/10.3390/brainsci11040516
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