Epilepsy disease is one of the most prevalent neurological disorders caused by malfunction
of large symptoms number of neurons. That's lead us to propose an automated approach to …

In this paper, the efficiently extracted and reduced features using deep long short-term
memory (DLSTM) of the epileptic EEG signal integrated with minimum variance kernel …

Objective. Significant progress has been witnessed in within-subject seizure detection from
electroencephalography (EEG) signals. Consequently, more and more works have been …

In the diagnosis of epileptic seizures, classification is an important step that directly affects
the results. Visual inspection of Electroencephalogram (EEG) is a relatively common analytic …

Epilepsy is a neurological disorder that affects the normal functioning of the brain. More than
10% of the population across the globe is affected by this disorder. Electroencephalogram …

Epilepsy is one of the most common neurological disorders, affecting 50 million people
worldwide. Despite the availability of numerous anti-epileptic drugs, it is often impossible to …

Epileptic seizure is a chronic and non-communicable disease which occurs in people of all
ages. In the detection of epileptic seizures, electroencephalography (EEG) plays a vital role …

Neurological disorders are identified using brain scans obtained via modalities such as
electroencephalogram (EEG), magnetic resonance imaging (MRI), computed tomography …

Ballast resistance, as the basic transmission parameter of track circuits, is susceptible to
various factors such as climate, material, environment, etc., presenting the characteristics of …

Electroencephalography (EEG) signals are a combination of complex pattern sequences,
which are periodic in nature. These pattern sequences include a gamma waves that …