Deep learning in physiological signal data: A survey
Deep Learning (DL), a successful promising approach for discriminative and generative
tasks, has recently proved its high potential in 2D medical imaging analysis; however …
tasks, has recently proved its high potential in 2D medical imaging analysis; however …
Seizure diaries and forecasting with wearables: epilepsy monitoring outside the clinic
It is a major challenge in clinical epilepsy to diagnose and treat a disease characterized by
infrequent seizures based on patient or caregiver reports and limited duration clinical …
infrequent seizures based on patient or caregiver reports and limited duration clinical …
A deep learning based ensemble learning method for epileptic seizure prediction
In epilepsy, patients suffer from seizures which cannot be controlled with medicines or
surgical treatments in more than 30% of the cases. Prediction of epileptic seizures is …
surgical treatments in more than 30% of the cases. Prediction of epileptic seizures is …
Focal onset seizure prediction using convolutional networks
H Khan, L Marcuse, M Fields… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: This paper investigates the hypothesis that focal seizures can be predicted using
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
scalp electroencephalogram (EEG) data. Our first aim is to learn features that distinguish …
Epileptic seizure prediction using big data and deep learning: toward a mobile system
Background Seizure prediction can increase independence and allow preventative
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction …
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 …
Semi-dilated convolutional neural networks for epileptic seizure prediction
Epilepsy is a neurological brain disorder that affects∼ 75 million people worldwide.
Predicting epileptic seizures holds great potential for improving the quality of life of people …
Predicting epileptic seizures holds great potential for improving the quality of life of people …
From seizure detection to smart and fully embedded seizure prediction engine: A review
Recent review papers have investigated seizure prediction, creating the possibility of
preempting epileptic seizures. Correct seizure prediction can significantly improve the …
preempting epileptic seizures. Correct seizure prediction can significantly improve the …
Epileptic seizure detection and prediction using stacked bidirectional long short term memory
DK Thara, BG PremaSudha, F Xiong - Pattern Recognition Letters, 2019 - Elsevier
Epilepsy is a not a disease but a neurological disorder. But people with epilepsy cannot lead
a social life like others. Proper diagnosis and advance prediction of epileptic seizures …
a social life like others. Proper diagnosis and advance prediction of epileptic seizures …
Multi-channel vision transformer for epileptic seizure prediction
Epilepsy is a neurological disorder that causes recurrent seizures and sometimes loss of
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …
awareness. Around 30% of epileptic patients continue to have seizures despite taking anti …