[HTML][HTML] Wavelet-based EEG processing for computer-aided seizure detection and epilepsy diagnosis

O Faust, UR Acharya, H Adeli, A Adeli - Seizure, 2015 - Elsevier
Electroencephalography (EEG) is an important tool for studying the human brain activity and
epileptic processes in particular. EEG signals provide important information about …

[HTML][HTML] Seizure prediction methods: a review of the current predicting techniques

A Yadollahpour, M Jalilifar - … and Pharmacology Journal, 2015 - biomedpharmajournal.org
Epilepsy is a common neurological disorder affecting more than 1.5 percent worldwide.
Twenty percent of epilepsies are drug resistant. Therefore, early detection of prediction of …

Bidirectional multisite seizure propagation in the intact isolated hippocampus: the multifocality of the seizure “focus”

M Derchansky, D Rokni, JT Rick, R Wennberg… - Neurobiology of …, 2006 - Elsevier
Localizing the seizure focus is difficult and frequently, multiple sites are found. This reflects
our poor understanding of the fundamental mechanisms of seizure generation and …

Classification of leukemia blood samples using neural networks

M Adjouadi, M Ayala, M Cabrerizo, N Zong… - Annals of biomedical …, 2010 - Springer
Pattern recognition applied to blood samples for diagnosing leukemia remains an extremely
difficult task which frequently leads to misclassification errors due in large part to the …

The effects of high-frequency oscillations in hippocampal electrical activities on the classification of epileptiform events using artificial neural networks

AWL Chiu, SS Jahromi, H Khosravani… - Journal of neural …, 2005 - iopscience.iop.org
The existence of hippocampal high-frequency electrical activities (greater than 100 Hz)
during the progression of seizure episodes in both human and animal experimental models …

Responsive neuromodulators based on artificial neural networks used to control seizure-like events in a computational model of epilepsy

S Colic, OC Zalay, BL Bardakjian - International journal of neural …, 2011 - World Scientific
Deep brain stimulation (DBS) has been noted for its potential to suppress epileptic seizures.
To date, DBS has achieved mixed results as a therapeutic approach to seizure control …

Non-parametric early seizure detection in an animal model of temporal lobe epilepsy

SS Talathi, DU Hwang, ML Spano… - Journal of Neural …, 2008 - iopscience.iop.org
The performance of five non-parametric, univariate seizure detection schemes (embedding
delay, Hurst scale, wavelet scale, nonlinear autocorrelation and variance energy) were …

Wavelet-based Gaussian-mixture hidden Markov model for the detection of multistage seizure dynamics: A proof-of-concept study

AWL Chiu, M Derchansky, M Cotic, PL Carlen… - Biomedical engineering …, 2011 - Springer
Background Epilepsy is a common neurological disorder characterized by recurrent
electrophysiological activities, known as seizures. Without the appropriate detection …

Classification of multiple seizure-like states in three different rodent models of epileptogenesis

M Guirgis, D Serletis, J Zhang, C Florez… - … on Neural Systems …, 2013 - ieeexplore.ieee.org
Epilepsy is a dynamical disease and its effects are evident in over fifty million people
worldwide. This study focused on objective classification of the multiple states involved in …

Machine learning for seizure prediction: A revamped approach

AS Kumar, L Nigam, D Karnam… - … on Advances in …, 2015 - ieeexplore.ieee.org
Occurrence of multiple seizures is a common phenomenon observed in patients with
epilepsy: a neurological malfunction that affects approximately 50 million people in the …