4.6 Article

Spatiotemporal analysis of interictal EEG for automated seizure detection and classification

Related references

Note: Only part of the references are listed.
Article Engineering, Biomedical

Channel based epilepsy seizure type detection from electroencephalography (EEG) signals with machine learning techniques

Erdem Tuncer et al.

Summary: This research proposes a method for classifying focal-generalized epileptic seizures from EEG signals, achieving a classification success rate of up to 98.08% using deep learning techniques.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2022)

Article Computer Science, Artificial Intelligence

EEG-based classification of normal and seizure types using relaxed local neighbour difference pattern and artificial neural network

N. J. Sairamya et al.

Summary: This study proposes a novel method for diagnosing epileptic seizure types, using a relaxed local neighbour difference pattern (RLNDiP) domain and artificial neural network for automatic classification. The results validate the robustness and accuracy of the proposed method.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

EEG based multi-class seizure type classification using convolutional neural network and transfer learning

S. Raghu et al.

NEURAL NETWORKS (2020)

Review Cell Biology

Electroencephalography studies of hypoxic ischemia in fetal and neonatal animal models

Hamid Abbasi et al.

NEURAL REGENERATION RESEARCH (2020)

Article Health Care Sciences & Services

Weak supervision as an efficient approach for automated seizure detection in electroencephalography

Khaled Saab et al.

NPJ DIGITAL MEDICINE (2020)

Review Clinical Neurology

Machine learning applications in epilepsy

Bardia Abbasi et al.

EPILEPSIA (2019)

Article Clinical Neurology

Detecting abnormal electroencephalograms using deep convolutional networks

K. G. van Leeuwen et al.

CLINICAL NEUROPHYSIOLOGY (2019)

Review Clinical Neurology

Automatic Computer-Based Detection of Epileptic Seizures

Christoph Baumgartner et al.

FRONTIERS IN NEUROLOGY (2018)

Article Mathematical & Computational Biology

Epileptic Seizure Detection Based on EEG Signals and CNN

Mengni Zhou et al.

FRONTIERS IN NEUROINFORMATICS (2018)

Article Biochemical Research Methods

The detection of epileptic seizure signals based on fuzzy entropy

Jie Xiang et al.

JOURNAL OF NEUROSCIENCE METHODS (2015)

Article Clinical Neurology

ILAE Official Report: A practical clinical definition of epilepsy

Robert S. Fisher et al.

EPILEPSIA (2014)

Article Engineering, Biomedical

BCILAB: a platform for brain-computer interface development

Christian Andreas Kothe et al.

JOURNAL OF NEURAL ENGINEERING (2013)

Review Neurosciences

How inhibition influences seizure propagation

Andrew J. Trevelyan et al.

NEUROPHARMACOLOGY (2013)

Article Behavioral Sciences

Cortical and subcortical contributions to absence seizure onset examined with EEG/fMRI

Jerzy P. Szaflarski et al.

EPILEPSY & BEHAVIOR (2010)

Review Behavioral Sciences

The role of EEG in epilepsy: A critical review

Soheyl Noachtar et al.

EPILEPSY & BEHAVIOR (2009)

Article Biochemical Research Methods

EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

A Delorme et al.

JOURNAL OF NEUROSCIENCE METHODS (2004)