| Título |
EEGSingle-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 Sci |
| Alcance |
Article |
| Naturaleza |
Científica |
| Cuartil JCR |
3 |
| Cuartil SJR |
3 |
| Impacto JCR |
3.33300 |
| Impacto SJR |
0.72700 |
| 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 |
|
Gestionar cookies