Title
A Patient-specific Approach for Short-term Epileptic Seizures Prediction through the Analysis of EEG synchronization.
Abstract
Epilepsy is a neurological disorder arising from anomalies of the electrical activity in the brain, affecting about 65 millions individuals worldwide. Objective: This paper proposes a patient-specific approach for short-term prediction (i.e., within few minutes) of epileptic seizures. Methods: We use noninvasive EEG data, since the aim is exploring the possibility of developing a noninvasive monit...
Year
DOI
Venue
2019
10.1109/TBME.2018.2874716
IEEE Transactions on Biomedical Engineering
Keywords
Field
DocType
Electroencephalography,Synchronization,Feature extraction,Brain modeling,Scalp,Phase measurement
Computer vision,Synchronization,Neurophysiology,Pattern recognition,Computer science,Epilepsy,Artificial intelligence,Data classification,Statistical classification,Classifier (linguistics),Ictal,Electroencephalography
Journal
Volume
Issue
ISSN
66
6
0018-9294
Citations 
PageRank 
References 
2
0.50
0
Authors
6
Name
Order
Citations
PageRank
Paolo Detti114419.55
Garazi Zabalo Manrique de Lara220.84
Renato Bruni312715.79
M. Pranzo4757.28
Francesco Sarnari520.50
Giampaolo Vatti620.50