Reporting existing datasets for automatic epilepsy diagnosis and seizure detection
More than 50 million individuals are affected by epilepsy, a chronic neurological disorder
characterized by unprovoked, recurring seizures and psychological symptoms. Researchers …
characterized by unprovoked, recurring seizures and psychological symptoms. Researchers …
EEG Datasets in Machine Learning Applications of Epilepsy Diagnosis and Seizure Detection
Epilepsy is a common non-communicable, group of neurological disorders affecting more
than 50 million individuals worldwide. Researchers are working to automatically detect …
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
Background: Epilepsy, a prevalent neurological disorder characterized by recurrent seizures
affecting an estimated 70 million people worldwide, poses a significant diagnostic …
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
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 …
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 …
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 …
the World Health Organization. While electroencephalography (EEG) plays important roles …
Open and free EEG datasets for epilepsy diagnosis
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 …
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
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 …
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 …
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 …
worldwide, according to the World Health Organization. The diagnosis of epilepsy relies on …
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