Digital signal processing of Electroencephalogram (EEG) can support the diagnosis and alarming for the benefit of humans. About one third of all epileptic patients suffer from refractory epilepsy; seizure prediction based on the EEG information content is an area of intense activity since at least twenty years. In this paper we analyze the high dimensional feature space created by a variety of ...

Epilepsy is one of the common neurological disorders characterized by a sudden and recurrent malfunction of the brain that is termed “seizure”, affecting around 65 million individuals worldwide. Epileptic seizure may lead to many injuries such as fractures, submersion, burns, motor vehicle accidents and even death. It is highly possible to prevent these unwanted situations if we can predict/det...

Although refractory epileptic patients suffer from uncontrolled seizures, their quality of life (QoL) may be improved if the seizure can be predicted in advance. In the preictal period, the excessive neuronal activity of epilepsy affects the autonomic nervous system. Since the fluctuation of the R-R interval (RRI) of an electrocardiogram (ECG), called heart rate variability (HRV), reflects the ...

States of consciousness in the brain offer a metric for explaining and predicting behaviors. There is a well-known correlation between epileptic seizure susceptibility and state of vigilance. Our goal is to design a system for detecting state of vigilance in real time using invasive electroencephalography and measurements of head movement. We will use this to probe the relationship between stat...

The number of people diagnosed with epilepsy as a common brain disease accounts for about 1% the world’s total population. Seizure prediction is an important study that can improve lives patients epilepsy, and, in recent years, it has attracted more and attention. In this paper, we propose novel hybrid deep learning model combines Dense Convolutional Network (DenseNet) Long Short-Term Memory (L...

Epilepsy withholds patients’ control of their body or consciousness and puts them at risk in the course daily life. This article pursues development a smart neurocomputational technology to alert epileptic patients wearing EEG sensors an impending seizure. An innovative approach for seizure prediction has been proposed improve accuracy reduce false alarm rate comparison with state-of-the-art be...

the occurrence of neonatal seizures may be the first and perhaps, the only clinical sign of a central nervous system (cns) disorder in the newborn infant. identifying the etiology for the neonatal seizures is/critical to prognosis and treatment. the most common etiology for neonatal seizures is hypoxic-ischemic encephalopathy. seizures may indicate the presence of a potentially treatable etiolo...

Purpose: Oxidative stress has recently emerged as a possible mechanism in pathogenesis of epilepsy. Coenzyme Q10 (CoQ10) is a strong endogenous antioxidant that protects cells from lipid oxidation and reactive oxygen species (ROS) production, however, the impact of CoQ10 on seizure characteristics in epileptic patients is not clear. Methods: The current study enrolled patients with the epilept...