A Hybrid LSTM-DBN Approach for Automatic Epileptic Seizure Detection compared with Normal Human Activity using EEG Signals
S Cherukuvada, R Kayalvizhi - 2023 5th International …, 2023 - ieeexplore.ieee.org
More than 2% of people throughout the globe suffer from the neurodegenerative condition
known as epilepsy. A sudden onset of convulsive seizures characterizes epilepsy, a …
known as epilepsy. A sudden onset of convulsive seizures characterizes epilepsy, a …
A CNN-LSTM hybrid network for automatic seizure detection in EEG signals
S Shanmugam, S Dharmar - Neural Computing and Applications, 2023 - Springer
Epilepsy is a chronic neurological disorder. Epileptics are prone to sudden seizures that
cause disruptions in their daily lives. The separation of epileptic and non-epileptic activity on …
cause disruptions in their daily lives. The separation of epileptic and non-epileptic activity on …
Deep learning based epileptic seizure detection with EEG data
S Poorani, P Balasubramanie - International Journal of System Assurance …, 2023 - Springer
Epilepsy is one kind of life frightening and exigent intellect mayhem in which affected
patients endure recurrent seizures. Large numbers of people are affected by this chaos …
patients endure recurrent seizures. Large numbers of people are affected by this chaos …
A LSTM-CNN Model for Epileptic Seizures Detection using EEG Signal
Neurologists visually inspect electroencephalogram (EEG) reports to get the epilepsy
diagnosis. Scholars have suggested automated techniques to detect the ailment due to the …
diagnosis. Scholars have suggested automated techniques to detect the ailment due to the …
Epileptic seizure detection and prediction using deep learning technique
Epilepsy is a brain condition that affects people of all ages and is a chronic, non-
communicable disease. Epilepsy affects around 50 million individuals worldwide, making it …
communicable disease. Epilepsy affects around 50 million individuals worldwide, making it …
Adopting Convolutional Long Short-Term Memory Network to Detect Seizures
A Mahajan, K Somaraj, MS Jamal… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Recent advances in deep learning have enabled computer-aided medical data processing,
thus adding to automated disease diagnosis and detection. Neurologists typically diagnose …
thus adding to automated disease diagnosis and detection. Neurologists typically diagnose …
A novel end-to-end approach for epileptic seizure classification from scalp EEG data using deep learning technique
Early detection and proper treatment of epilepsy seizure is essential and meaningful to
those who suffer from this disease. Symptoms of seizures are confusion, abnormal gazing …
those who suffer from this disease. Symptoms of seizures are confusion, abnormal gazing …
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 …
Implementation of Convolutional Neural Network for Epileptic Seizure Detection
S Loganathan, CM Sujatha, RG Nivash… - … in Engineering and …, 2022 - ieeexplore.ieee.org
Epilepsy is a neurological disorder and disability in which the brain activity becomes
abnormal causing seizures. A seizure is characterized by the unprovoked sudden alteration …
abnormal causing seizures. A seizure is characterized by the unprovoked sudden alteration …
Detection of epilepsy seizures based on deep learning with attention mechanism
TN Gia, Z Wang, T Westerlund - International Conference on Wireless …, 2021 - Springer
Epilepsy cannot be underestimated as it can negatively impact every one of all ages and
reduce the quality of life. Epilepsy can lead to sudden tumble and loss of awareness or …
reduce the quality of life. Epilepsy can lead to sudden tumble and loss of awareness or …