Carbon emission is a global problem that countries around the world are paying attention to
and urgently need to be resolved. Under the requirements of China's high-quality economic …

Epilepsy is one of the most common neurological disorders worldwide and can cause the
brain to stop working properly or even endanger the life of the patient. Epilepsy prediction is …

In this study, the visual cognitive workload is classified using electroencephalogram (EEG)
signal acquired with dry electrodes. The visual cognitive workload of four levels is …

Epilepsy, a neurological disease associated with seizures, affects the normal behavior of
human beings. The unpredictability of epileptic seizures has caused great obstacles to the …

An electroencephalogram, often known as an EEG, can detect neuronal activity by analysing
the electrical currents that are generated within the brain by a collection of specific pyramidal …

To solve the problems related to the complex structures, multiple parts, and imperceptible
assembly quality of combines, this paper compares the performance of the empirical mode …

Introduction Epileptic condition can be detected in EEG data seconds before it occurs,
according to evidence. To overcome the related long‐term mortality and morbidity from …

Epilepsy is a serious chronic neurological disorder and it can be detected by analyzing an
Electroencephalogram acquired from non-invasive methods. Different strategies have been …

At present, there are very few analysis methods for long-term electroencephalogram (EEG)
components. Temporal information is always ignored by most of the existing techniques in …

The advancement in Artificial Intelligence (AI) and Machine Learning (ML) techniques helps
to employ the clinical practice applications for Epilepsy seizure detection. The present …