Título EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
Autores ROMAINE, JAMES BRIAN, PEREIRA MARTÍN, MARIO, SALVADOR ORTIZ, JOSÉ RAMÓN, MANZANO CRESPO, JOSÉ MARÍA
Publicación externa No
Medio Brain Sciences
Alcance Article
Naturaleza Científica
Cuartil JCR 3
Cuartil SJR 3
Impacto JCR 3.333
Impacto SJR 0.727
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104935382&doi=10.3390%2fbrainsci11040516&partnerID=40&md5=1eb0860df7a1b2fca6c42b6f9e099e1a
Fecha de publicacion 19/04/2021
ISI 000642801500001
Scopus Id 2-s2.0-85104935382
DOI 10.3390/brainsci11040516
Abstract 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 100% for high false-positive rates and 83% and 75%, 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 90% of patients implying a possible prediction system.
Palabras clave epilepsy; synchronisation; envelope; DSP; hilbert transform; detection; Alzheimer disease; Parkinsons disease; prediction
Miembros de la Universidad Loyola

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