TY - GEN
T1 - Typical Absence Epilepsy Identification on EEG
AU - Enriquez-Rodriguez, Brenda
AU - Tovar-Corona, Blanca
AU - Ramirez-Fuentes, Carlos A.
AU - Arturo Silva Ramirez, Martin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/11
Y1 - 2020/11/11
N2 - This paper describes the methodology and results obtained from the classification of EEG signals in two groups: 1) Patients with typical absence seizure; 2) Patients with other kind of epilepsy or healthy. Three main techniques were applied to identify the morphological features from EEG signals in order to evaluate recordings without having to train a model using a database: Continuous Wavelet Transform, Competitive Neural Networks and Correlation. An interface was developed to include clinical information in order to create an auxiliary system for the identification of absence epilepsy. Data from 24 patients, with different types of epilepsy and non-epileptic, were analyzed, and all of them were correctly classified the system can be used as auxiliary in the identification of typical absence epilepsy either in clinic or in education.
AB - This paper describes the methodology and results obtained from the classification of EEG signals in two groups: 1) Patients with typical absence seizure; 2) Patients with other kind of epilepsy or healthy. Three main techniques were applied to identify the morphological features from EEG signals in order to evaluate recordings without having to train a model using a database: Continuous Wavelet Transform, Competitive Neural Networks and Correlation. An interface was developed to include clinical information in order to create an auxiliary system for the identification of absence epilepsy. Data from 24 patients, with different types of epilepsy and non-epileptic, were analyzed, and all of them were correctly classified the system can be used as auxiliary in the identification of typical absence epilepsy either in clinic or in education.
KW - Continuous wavelet transform
KW - EEG signal processing
KW - Spike-slow wave complex
KW - absence epileptic seizures
KW - automated diagnosis
KW - neural network
UR - http://www.scopus.com/inward/record.url?scp=85099470549&partnerID=8YFLogxK
U2 - 10.1109/CCE50788.2020.9299164
DO - 10.1109/CCE50788.2020.9299164
M3 - Contribución a la conferencia
AN - SCOPUS:85099470549
T3 - 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020
BT - 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2020
Y2 - 11 November 2020 through 13 November 2020
ER -