Electroencephalography (EEG) is a non-invasive technique used to record the brain's
evoked and induced electrical activity from the scalp. Artificial intelligence, particularly …

Epilepsy is a neurological condition affecting around 50 million individuals worldwide,
reported by the World Health Organization. This is identified as a hypersensitive disease by …

Epilepsy is one of the most common neurological disorders. Accurate detection of epileptic
seizures is essential for treatment. A seizure detection method with the structure of functional …

Epilepsy is a neurological disorder that has severely affected many people's lives across the
world. Electroencephalogram (EEG) signals are used to characterize the brain's state and …

Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …

Accurately forecasting the price of non-ferrous metals is of great significance for traders to
avoid risks, enterprises to arrange production plans, and countries to formulate economic …

Epilepsy is one of the most common neurological disorders. The electroencephalogram
(EEG) is a valuable tool for the detection of epileptic seizures. The diagnosis of epilepsy …

This paper proposed a simple but highly accurate feature extraction method for epilepsy
detection from electroencephalogram (EEG) signals. Based on the combination of Discrete …

The epileptic seizure detection and classification is of great significance for clinical
diagnosis and treatment. To realize the detection and classification of epileptic seizure, this …

Noncontact vital sign measurements based on millimeter-wave radar can realize long-range
detection of respiratory and heartbeat signals, therefore it is gradually applied in more and …