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 …

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 …

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 …

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 …

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

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 …

Automatic seizure prediction promotes the development of closed-loop treatment system on
intractable epilepsy. In this study, by considering the specific information exchange between …

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 …

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 …

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 …