[HTML][HTML] Epileptic seizures detection using deep learning techniques: a review
A variety of screening approaches have been proposed to diagnose epileptic seizures,
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities …
Multi-feature fusion approach for epileptic seizure detection from EEG signals
In this article, a new fusion scheme based on the Dempster-Shafer Evidence Theory (DSET)
is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various …
is introduced for Epileptic Seizure Detection (ESD) in brain disorders. Firstly, various …
Multi-distance fluctuation based dispersion fractal for epileptic seizure detection in EEG signal
The developmental methods for evaluating the complexity of univariate signals has attracted
extensive attention. Therefore, entropy was discovered to be one of the best methods for …
extensive attention. Therefore, entropy was discovered to be one of the best methods for …
Classification of Epileptic Seizures Based on CNN and Guided Back-Propagation for Interpretation Analysis
Epilepsy is a brain disorder that affects nearly 50 millions people around the world.
However, despite its high prevalence, the diagnosis of epilepsy is complex and usually …
However, despite its high prevalence, the diagnosis of epilepsy is complex and usually …
Quantitative analysis of inter-and intrahemispheric coherence on epileptic electroencephalography signal
When an epileptic seizure occurs, the neuron's activity of the brain is dynamically changed,
which affects the connectivity between brain regions. The connectivity of each brain region …
which affects the connectivity between brain regions. The connectivity of each brain region …
Computational Approaches for Diagnosis and Monitoring of Epilepsy from Scalp EEG
Epilepsy is a chronic brain disorder characterized by recurrent unprovoked seizures. It is
caused by alterations in normal electrical activity in the brain, leading to various clinical …
caused by alterations in normal electrical activity in the brain, leading to various clinical …
Localization of Focal Intractable Epileptic Focus Based on Long-Term Recurrent Convolutional Network
Z Zhang, Q Luo, Y Zhou - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
In clinic, the success rate of surgical resection of the epileptic focus in the treatment of focal
intractable epilepsy is only about 25%. The main reason for the low success rate is that the …
intractable epilepsy is only about 25%. The main reason for the low success rate is that the …
Graph theory and machine learning based epileptic seizures analysis from eeg
In this paper, the electroencephalogram (EEG) signal that consists of the information about
neurological activities of the brain has been considered to detect epileptic seizures. In …
neurological activities of the brain has been considered to detect epileptic seizures. In …
[PDF][PDF] Introductory chapter: methods and applications of neural signal processing
D Pei, R Vinjamuri - Advances in Neural Signal Processing, 2020 - library.oapen.org
Analytical methods are crucial to advance the field of brain sciences, and efficient and
effective methods of data analysis are required. Early from the last century, the neural …
effective methods of data analysis are required. Early from the last century, the neural …