Title EEG—Single-Channel Envelope Synchronisation and Classification for Seizure Detection and Prediction
Authors ROMAINE, JAMES BRIAN, PEREIRA MARTÍN, MARIO, SALVADOR ORTIZ, JOSÉ RAMÓN, MANZANO CRESPO, JOSÉ MARÍA
External publication No
Means Brain Sci.
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 2
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104935382&doi=10.3390%2fbrainsci11040516&partnerID=40&md5=1eb0860df7a1b2fca6c42b6f9e099e1a
Publication date 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.
Keywords epilepsy; synchronisation; envelope; DSP; hilbert transform; detection; Alzheimer disease; Parkinsons disease; prediction
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