Deep learning based efficient epileptic seizure prediction with EEG channel optimization
R Jana, I Mukherjee - Biomedical Signal Processing and Control, 2021 - Elsevier
A seizure is an unstable situation in epilepsy patients due to excessive electrical discharge
by brain cells. An efficient seizure prediction method is required to reduce the lifetime risk of …
by brain cells. An efficient seizure prediction method is required to reduce the lifetime risk of …
Efficient epileptic seizure prediction based on deep learning
H Daoud, MA Bayoumi - IEEE transactions on biomedical …, 2019 - ieeexplore.ieee.org
Epilepsy is one of the world's most common neurological diseases. Early prediction of the
incoming seizures has a great influence on epileptic patients' life. In this paper, a novel …
incoming seizures has a great influence on epileptic patients' life. In this paper, a novel …
Epileptic seizures prediction using deep learning techniques
Epilepsy is a very common neurological disease that has affected more than 65 million
people worldwide. In more than 30% of the cases, people affected by this disease cannot be …
people worldwide. In more than 30% of the cases, people affected by this disease cannot be …
Deep learning models for predicting epileptic seizures using iEEG signals
O Ouichka, A Echtioui, H Hamam - Electronics, 2022 - mdpi.com
Epilepsy is a chronic neurological disease characterized by a large electrical explosion that
is excessive and uncontrolled, as defined by the world health organization. It is an anomaly …
is excessive and uncontrolled, as defined by the world health organization. It is an anomaly …
An end-to-end deep learning approach for epileptic seizure prediction
An accurate seizure prediction system enables early warnings before seizure onset of
epileptic patients. It is extremely important for drug-refractory patients. Conventional seizure …
epileptic patients. It is extremely important for drug-refractory patients. Conventional seizure …
Epileptic seizure prediction using deep transformer model
The electroencephalogram (EEG) is the most promising and efficient technique to study
epilepsy and record all the electrical activity going in our brain. Automated screening of …
epilepsy and record all the electrical activity going in our brain. Automated screening of …
Seizure prediction using directed transfer function and convolution neural network on intracranial EEG
Automatic seizure prediction promotes the development of closed-loop treatment system on
intractable epilepsy. In this study, by considering the specific information exchange between …
intractable epilepsy. In this study, by considering the specific information exchange between …
Epileptic Seizure Prediction Using Attention Augmented Convolutional Network.
D Liu, X Dong, D Bian, W Zhou - International Journal of Neural …, 2023 - europepmc.org
Early seizure prediction is crucial for epilepsy patients to reduce accidental injuries and
improve their quality of life. Identifying pre-ictal EEG from the inter-ictal state is particularly …
improve their quality of life. Identifying pre-ictal EEG from the inter-ictal state is particularly …
Energy-efficient neural network for epileptic seizure prediction
Seizure prediction for drug-refractory epilepsy patients can improve their quality of life,
reduce their anxiety, and help them take the necessary precautions. Nowadays, numerous …
reduce their anxiety, and help them take the necessary precautions. Nowadays, numerous …
[Retracted] Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches
Epileptic seizures occur due to brain abnormalities that can indirectly affect patient's health.
It occurs abruptly without any symptoms and thus increases the mortality rate of humans …
It occurs abruptly without any symptoms and thus increases the mortality rate of humans …
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