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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8073763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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