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 …
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 …
Epileptic seizure prediction using scalp electroencephalogram signals
Epilepsy is a brain disorder in which patients undergo frequent seizures. Around 30% of
patients affected with epilepsy cannot be treated with medicines/surgical procedures …
patients affected with epilepsy cannot be treated with medicines/surgical procedures …
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 …
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 …
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 …
Prediction for high risk clinical symptoms of epilepsy based on deep learning algorithm
M Sun, F Wang, T Min, T Zang, Y Wang - IEEE access, 2018 - ieeexplore.ieee.org
Accurate forecasting of high-risk clinical symptoms, like epileptic seizures, has the potential
to transform clinical epilepsy care and to create new therapeutic strategies for individuals in …
to transform clinical epilepsy care and to create new therapeutic strategies for individuals in …
Epileptic seizures prediction using machine learning methods
Epileptic seizures occur due to disorder in brain functionality which can affect patient's
health. Prediction of epileptic seizures before the beginning of the onset is quite useful for …
health. Prediction of epileptic seizures before the beginning of the onset is quite useful for …
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram
Seizure prediction has attracted growing attention as one of the most challenging predictive
data analysis efforts to improve the life of patients with drug-resistant epilepsy and tonic …
data analysis efforts to improve the life of patients with drug-resistant epilepsy and tonic …
Early prediction of epileptic seizures using a long-term recurrent convolutional network
X Wei, L Zhou, Z Zhang, Z Chen, Y Zhou - Journal of neuroscience …, 2019 - Elsevier
Background A seizure prediction system can detect seizures prior to their occurrence and
allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure …
allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure …