Seizure prediction from electroencephalogram (EEG) time series data and a sequential
deep learning (DL) predictor substantially boosts epileptic patients' quality of life. However, a …

Epilepsy is a common neurological disease where the earlier disease prediction
significantly impacts those patients' lives. In this paper, a novel epilepsy seizure prediction …

Recently, many researchers have deployed different deep learning techniques to predict
epileptic seizure, using electroencephalogram signals. However, most of this research …

Epilepsy is a prevalent neurological disorder, which disturbs the lives of millions of people
worldwide owing to the onset of abrupt seizures. The forecasting of seizures could help in …

Context and background Epilepsy is considered as the common neurological disease in the
world. Early prediction of epileptic seizure gained great influence on the epileptic patient's …

An accurate seizure prediction system enables early warnings before seizure onset of
epileptic patients. It is extremely important for drug-refractory patients. Conventional seizure …

Epilepsy is one of the most common neurological diseases, which can seriously affect the
patient's psychological well-being and quality of life. An accurate and reliable seizure …

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 …

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 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 …