SeizureNet: a model for robust detection of epileptic seizures based on convolutional neural network
W Zhao, W Wang - Cognitive Computation and Systems, 2020 - Wiley Online Library
Epilepsy is a neurological disorder and generally detected by electroencephalogram (EEG)
signals. The manual inspection of epileptic seizures is a time‐consuming and laborious …
signals. The manual inspection of epileptic seizures is a time‐consuming and laborious …
CNN based framework for detection of epileptic seizures
Epilepsy is a common neurological disease that uses electroencephalogram (EEG) data for
its detection purpose. Neurologists make the diagnosis by visual inspection of EEG reports …
its detection purpose. Neurologists make the diagnosis by visual inspection of EEG reports …
[HTML][HTML] Automatic detection of various epileptic seizures from EEG signal using deep learning networks
Using an intelligent method to automatically detect epileptic seizures in medical applications
is one of the most important challenges in recent years to reduce the workload of doctors in …
is one of the most important challenges in recent years to reduce the workload of doctors in …
[HTML][HTML] A Robust Automatic Epilepsy Seizure Detection Algorithm Based on Interpretable Features and Machine Learning
S Liu, Y Zhou, X Yang, X Wang, J Yin - Electronics, 2024 - mdpi.com
Epilepsy, as a serious neurological disorder, can be detected by analyzing the brain signals
produced by neurons. Electroencephalogram (EEG) signals are the most important data …
produced by neurons. Electroencephalogram (EEG) signals are the most important data …
Improving eeg-based epileptic seizures detection using self-normalizing neural network
S Mekruksavanich, P Jantawong… - 2023 4th International …, 2023 - ieeexplore.ieee.org
Epilepsy, a neurological disorder, is typically identified by analyzing electroencephalogram
(EEG) signals. However, manually inspecting epileptic seizures is a time-consuming and …
(EEG) signals. However, manually inspecting epileptic seizures is a time-consuming and …
Epileptic seizure detection using convolutional neural networks and recurrence plots of EEG signals
Epilepsy is a neurological disorder causing abnormal activities in the brain such as seizures,
unusual behavior, sensations and loss of awareness. This disorder can be diagnosed with …
unusual behavior, sensations and loss of awareness. This disorder can be diagnosed with …
Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals
Objective Automatic detection of epileptic seizures based on deep learning methods
received much attention last year. However, the potential of deep neural networks in seizure …
received much attention last year. However, the potential of deep neural networks in seizure …
[HTML][HTML] Epileptic-net: an improved epileptic seizure detection system using dense convolutional block with attention network from EEG
Epilepsy is a complex neurological condition that affects a large number of people
worldwide. Electroencephalography (EEG) measures the electrical activity of the brain and …
worldwide. Electroencephalography (EEG) measures the electrical activity of the brain and …
A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data
Background: Diagnosing epileptic seizures using electroencephalogram (EEG) in
combination with deep learning computational methods has received much attention in …
combination with deep learning computational methods has received much attention in …
Automated epilepsy seizure detection from EEG signal based on hybrid CNN and LSTM model
SK Pandey, RR Janghel, PK Mishra… - Signal, Image and Video …, 2023 - Springer
Epilepsy is a neurological disorder that affects the normal functioning of the brain. More than
10% of the population across the globe is affected by this disorder. Electroencephalogram …
10% of the population across the globe is affected by this disorder. Electroencephalogram …