Cargando…

Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification

Electroencephalogram (EEG) signals contain vital information on the electrical activities of the brain and are widely used to aid epilepsy analysis. A challenging element of epilepsy diagnosis, accurate classification of different epileptic states, is of particular interest and has been extensively...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gao, Yunyuan, Gao, Bo, Chen, Qiang, Liu, Jia, Zhang, Yingchun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Neurology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7257380/ https://www.ncbi.nlm.nih.gov/pubmed/32528398 http://dx.doi.org/10.3389/fneur.2020.00375

Ejemplares similares

A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data
Publicado: (2021)

A medium‐weight deep convolutional neural network‐based approach for onset epileptic seizures classification in EEG signals
por: Nemati, Nazanin, et al.
Publicado: (2022)

Optimisation of deep neural networks for identification of epileptic abnormalities from electroencephalogram signals
por: Kurdthongmee, Wattanapong
Publicado: (2020)

Epileptic seizure detection with deep EEG features by convolutional neural network and shallow classifiers
por: Zeng, Wei, et al.
Publicado: (2023)

The Application of Deep Learning to Electroencephalograms, Magnetic Resonance Imaging, and Implants for the Detection of Epileptic Seizures: A Narrative Review
por: Singh, Arihant, et al.
Publicado: (2023)

Expert-Level Intracranial Electroencephalogram Ictal Pattern Detection by a Deep Learning Neural Network
por: Constantino, Alexander C., et al.
Publicado: (2021)

Convolutional Neural Network Classification of Rest EEG Signals among People with Epilepsy, Psychogenic Non Epileptic Seizures and Control Subjects
por: Lo Giudice, Michele, et al.
Publicado: (2022)

Electroencephalogram-Based Motor Imagery Classification Using Deep Residual Convolutional Networks
por: Huang, Jing-Shan, et al.
Publicado: (2021)

Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG
por: Sui, Linfeng, et al.
Publicado: (2021)

Mapping Epileptic Networks Using Simultaneous Intracranial EEG-fMRI
por: Chaudhary, Umair J., et al.
Publicado: (2021)

A Multibranch of Convolutional Neural Network Models for Electroencephalogram-Based Motor Imagery Classification
por: Altuwaijri, Ghadir Ali, et al.
Publicado: (2022)

Random Neural Network Based Epileptic Seizure Episode Detection Exploiting Electroencephalogram Signals
por: Shah, Syed Yaseen, et al.
Publicado: (2022)

Invasive Intracranial Electroencephalogram (EEG) Monitoring for Epilepsy in the Pediatric Patient With a Shunt
por: El Shatanofy, Muhammad, et al.
Publicado: (2023)

Electroencephalogram–Electromyography Coupling Analysis in Stroke Based on Symbolic Transfer Entropy
por: Gao, Yunyuan, et al.
Publicado: (2018)

Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram
por: Nejedly, P., et al.
Publicado: (2019)

Detection of sleep apnea from single-channel electroencephalogram (EEG) using an explainable convolutional neural network (CNN)
por: Barnes, Lachlan D., et al.
Publicado: (2022)

Electroencephalogram Signal Classification for Automated Epileptic Seizure Detection Using Genetic Algorithm
por: Nanthini, B. Suguna, et al.
Publicado: (2017)

Motor Imagery EEG Signal Recognition Using Deep Convolution Neural Network
por: Xiao, Xiongliang, et al.
Publicado: (2021)

Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals
por: Mukhtar, Hamid, et al.
Publicado: (2021)

Classification of Motor Imagery EEG Signals Based on Data Augmentation and Convolutional Neural Networks
por: Xie, Yu, et al.
Publicado: (2023)

Hospital-Based Prevalence, Electroencephalogram (EEG), and Neuroimaging Correlation in Seizures Among Children in Odisha, India
por: Das, Swarnalata, et al.
Publicado: (2022)

Electroencephalogram-Based Motor Imagery Signals Classification Using a Multi-Branch Convolutional Neural Network Model with Attention Blocks
por: Altuwaijri, Ghadir Ali, et al.
Publicado: (2022)

Deep learning with convolutional neural networks for EEG decoding and visualization
por: Schirrmeister, Robin Tibor, et al.
Publicado: (2017)

Deep Convolutional Neural Network for EEG-Based Motor Decoding
por: Zhang, Jing, et al.
Publicado: (2022)

Spatial-Frequency Feature Learning and Classification of Motor Imagery EEG Based on Deep Convolution Neural Network
por: Miao, Minmin, et al.
Publicado: (2020)

Localization of Epileptic Foci Based on Simultaneous EEG–fMRI Data
por: Sadjadi, Seyyed Mostafa, et al.
Publicado: (2021)

Startle-Induced Epileptic Spasms: A Clinical and Video-EEG Study
por: Xu, Zhao, et al.
Publicado: (2022)

Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study
por: Haghayegh, Shahab, et al.
Publicado: (2023)

Electroencephalogram (EEG) With or Without Transcranial Magnetic Stimulation (TMS) as Biomarkers for Post-stroke Recovery: A Narrative Review
por: Keser, Zafer, et al.
Publicado: (2022)

EEG Reactivity Predicts Individual Efficacy of Vagal Nerve Stimulation in Intractable Epileptics
por: Brázdil, Milan, et al.
Publicado: (2019)

Large-Scale Desynchronization During Interictal Epileptic Discharges Recorded With Intracranial EEG
por: Bou Assi, Elie, et al.
Publicado: (2020)

Gas Classification Using Deep Convolutional Neural Networks
por: Peng, Pai, et al.
Publicado: (2018)

Convolutional Neural Network for Drowsiness Detection Using EEG Signals
por: Chaabene, Siwar, et al.
Publicado: (2021)

The value of convolutional neural networks-based deep learning model in differential diagnosis of space-occupying brain diseases
por: Miao, Xiuling, et al.
Publicado: (2023)

Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks
por: Sikka, Apoorva, et al.
Publicado: (2020)

Permutation Entropy-Based Interpretability of Convolutional Neural Network Models for Interictal EEG Discrimination of Subjects with Epileptic Seizures vs. Psychogenic Non-Epileptic Seizures
por: Lo Giudice, Michele, et al.
Publicado: (2022)

Role of Epileptic Activity in Older Adults With Delirium, a Prospective Continuous EEG Study
por: Sambin, Sara, et al.
Publicado: (2019)

Deep Convolutional Neural Network Based Interictal-Preictal Electroencephalography Prediction: Application to Focal Cortical Dysplasia Type-II
por: Chung, Yoon Gi, et al.
Publicado: (2020)

Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features
por: Wang, Yuting, et al.
Publicado: (2022)

EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks
por: Guerrero, Maria Camila, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_rqv0q0oi99p5ieus9sl1vp0kcu