Reporting existing datasets for automatic epilepsy diagnosis and seizure detection

P Handa, S Tiwari, N Goel - arXiv preprint arXiv:2306.12292, 2023 - arxiv.org
More than 50 million individuals are affected by epilepsy, a chronic neurological disorder
characterized by unprovoked, recurring seizures and psychological symptoms. Researchers …

EEG Datasets in Machine Learning Applications of Epilepsy Diagnosis and Seizure Detection

P Handa, M Mathur, N Goel - SN Computer Science, 2023 - Springer
Epilepsy is a common non-communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Researchers are working to automatically detect …

Pediatric and Adolescent Seizure Detection: A Machine Learning Approach Exploring the Influence of Age and Sex in Electroencephalogram Analysis

L Wei, C Mooney - BioMedInformatics, 2024 - mdpi.com
Background: Epilepsy, a prevalent neurological disorder characterized by recurrent seizures
affecting an estimated 70 million people worldwide, poses a significant diagnostic …

Deep-EEG: an optimized and robust framework and method for EEG-based diagnosis of epileptic seizure

WA Mir, M Anjum, S Shahab - Diagnostics, 2023 - mdpi.com
Detecting brain disorders using deep learning methods has received much hype during the
last few years. Increased depth leads to more computational efficiency, accuracy, and …

Harnessing Machine Learning and Deep Learning for Improved Epileptic Seizure Detection: A Review

A Chaturvedi - Proceedings of the 5th International Conference on …, 2023 - dl.acm.org
Since over 1% of people worldwide suffer from epileptic seizures, which can be caused by
brain abnormalities and manifest suddenly and symptomless, there is an increased chance …

Epileptic seizure detection based on EEG signals and CNN

M Zhou, C Tian, R Cao, B Wang, Y Niu, T Hu… - Frontiers in …, 2018 - frontiersin.org
Epilepsy is a neurological disorder that affects approximately fifty million people according to
the World Health Organization. While electroencephalography (EEG) plays important roles …

Open and free EEG datasets for epilepsy diagnosis

P Handa, M Mathur, N Goel - arXiv preprint arXiv:2108.01030, 2021 - arxiv.org
The Epilepsies are a common, chronic neurological disorder affecting more than 50 million
individuals across the globe. It is characterized by unprovoked, recurring (similar or different …

Epileptic seizure detection with deep EEG features by convolutional neural network and shallow classifiers

W Zeng, L Shan, B Su, S Du - Frontiers in neuroscience, 2023 - frontiersin.org
Introduction In the clinical setting, it becomes increasingly important to detect epileptic
seizures automatically since it could significantly reduce the burden for the care of patients …

Identifying Epilepsy with Artificial Intelligence: An EEG Signal Processing Perspective

P Barhate, T Turang, S Barhate… - International Conference …, 2023 - Springer
Around millions of people around the world suffer from epilepsy, which is a type of
neurological disorder that causes seizures. Early identification is very important to ensure …

Deep learning approach for epileptic seizure detection

N Mäkinen - 2020 - oulurepo.oulu.fi
Epilepsy is the most common brain disorder that affects approximately fifty million people
worldwide, according to the World Health Organization. The diagnosis of epilepsy relies on …