ROMAINE, JAMES BRIAN, PEREIRA MARTÍN, MARIO, SALVADOR ORTIZ, JOSÉ RAMÓN, MANZANO CRESPO, JOSÉ MARÍA
No
Brain Sci
Article
Científica
3.333
0.727
19/04/2021
000642801500001
2-s2.0-85104935382
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.
epilepsy; synchronisation; envelope; DSP; hilbert transform; detection; Alzheimer disease; Parkinsons disease; prediction