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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
Descripción
Sumario: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.