TY - JOUR
T1 - A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals
AU - Quintero-Rincón, Antonio
AU - Pereyra, Marcelo A
AU - D'Giano, Carlos
AU - Batatia, Hadj
AU - Risk, Marcelo
PY - 2016/4
Y1 - 2016/4
N2 - Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which result from the synchronous and excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an important problem in biomedical signal processing. In this work we propose a new algorithm for seizure onset detection and spread estimation in epilepsy patients. The algorithm is based on a multilevel 1-D wavelet decomposition that captures the physiological brain frequency signals coupled with a generalized gaussian model. Preliminary experiments with signals from 30 epilepsy crisis and 11 subjects, suggest that the proposed methodology is a powerful tool for detecting the onset of epilepsy seizures with his spread across the brain.
AB - Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which result from the synchronous and excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an important problem in biomedical signal processing. In this work we propose a new algorithm for seizure onset detection and spread estimation in epilepsy patients. The algorithm is based on a multilevel 1-D wavelet decomposition that captures the physiological brain frequency signals coupled with a generalized gaussian model. Preliminary experiments with signals from 30 epilepsy crisis and 11 subjects, suggest that the proposed methodology is a powerful tool for detecting the onset of epilepsy seizures with his spread across the brain.
UR - http://www.scopus.com/inward/record.url?scp=84978110952&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/705/1/012032
DO - 10.1088/1742-6596/705/1/012032
M3 - Article (Academic Journal)
AN - SCOPUS:84978110952
SN - 1742-6588
VL - 705
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012032
ER -