EEG is a common and safe test that uses small electrodes to record electrical signals from
the brain. It has a broad range of applications in medical diagnosis, including diagnosis of …

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 …

Epilepsy is a common neurological disorder with sudden and recurrent seizures. Early
prediction of seizures and effective intervention can significantly reduce the harm suffered by …

Background Epilepsy is a prevalent neurological disorder in which seizures cause recurrent
episodes of unconsciousness or muscle convulsions, seriously affecting the patient's work …

This paper develops a computationally efficient model for automatic patient-specific seizure
prediction using a two-layer LSTM from multichannel intracranial electroencephalogram …

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 …

We propose an efficient seizure prediction model based on a two-layer LSTM using the
Swish activation function. The proposed structure performs feature extraction based on the …

This paper analyzes and evaluates various denoising techniques, including Wavelet
Transform and Moving Average Filter methods for removing ocular and motion artifacts from …

Epilepsy represents one of the most common neurological diseases that affects a substantial
number of individuals worldwide, which is characterized by recurrent, unprovoked seizures …

We analyze and compare various hardware-based epileptic seizure systems and discuss
the challenges and opportunities for reducing power consumption and increasing the battery …