Anxiety and depression are very common in population and occur in a wide range of clinical states and is very common in epileptic patients. Many recent epidemiological studies have found a high prevalence of depression and anxiety in epileptic patients. These studies found that epileptic patients suffered from depression and anxiety than those without epilepsy. The prevalence of depression or a...

Epilepsy affects almost 1% of the population and most of the approximately 20-30% of patients with refractory epilepsy have one or more seizures per month. Seizure detection devices allow an objective assessment of seizure frequency and a treatment tailored to the individual patient. A rapid recognition and treatment of seizures through closed-loop systems could potentially decrease morbidity a...

Epilepsy is one of the most common neurological disorders-approximately one in every 100 people worldwide are suffering from it. The electroencephalogram (EEG) is the most common source of information used to monitor, diagnose and manage neurological disorders related to epilepsy. Large amounts of data are produced by EEG monitoring devices, and analysis by visual inspection of long recordings ...

The diagnostic and prognostic value of dynamic video-electroencephalogram (V-EEG) monitoring in children with epilepsy were investigated. From February 2014 to February 2016, in total 200 children with epilepsy were selected during their stay in the First Hospital of Qinghuangdao and were randomly allocated to a dynamic and a conventional V-EEG monitoring group (n=100). The detection rate of ep...

Abstract Purpose of Review Sudden Unexpected Death in Epilepsy (SUDEP) is the commonest cause epilepsy-related premature mortality people with chronic epilepsy. It most devastating epilepsy outcome. We describe and discuss risk factors possible pathophysiological mechanisms to elucidate preventative strategies avert SUDEP. Recent Findings death accounts for a significant proportion compared gen...

Epilepsy is a serious neurological condition caused by sudden abnormality of brain neurons. An accurate epilepsy detection based on electroencephalogram (EEG) signals can provide vital information for diagnosis and treatment. In this study, we propose lightweight automatic system with artificial neural network our as-fabricated neuromorphic chip. The proposed utilizes model to achieve high-accu...

OBJECTIVE To evaluate the benefits of the detection of both circulating antibodies (Ab) and antigens (Ag) for the diagnosis of cysticercosis in people with epilepsy. Neurocysticercosis is a cause of neurological diseases world-wide, especially epilepsy. The clinical symptoms of neurocysticercosis are non-specific and diagnosis is often difficult. METHODS Serum samples were collected from subj...

The disease epilepsy is characterized by a sudden and recurrent malfunction of the brain that is termed seizer. The electroencephogram (EEG) has a lot of information about brain and also used in several automated epilepsy detection systems. In this study, the wavelet subband decomposition and Approximate Entropy (ApEn) is used for epilepsy detection from EEG signals. In first stage, EEG signals...

Introduction: Temporal lobe epilepsy (TLE) is the most common and drug resistant epilepsy in adults. Due to behavioral, morphologic and electrographic similarities, pilocarpine model of epilepsy best resembles TLE. This study was aimed at determination of the changes in electroencephalogram (EEG) sub-bands amplitude during focal seizures in the pilocarpine model of epilepsy. Analysis of these c...

6.1 Types of Epilepsy and Initial Treatments 6.2 Surgical Treatment 6.3 Past Surgical Treatments 6.4 New Surgical Treatments in Clinical Trial or Preclinical Evaluation 6.5 Closed-Loop or Demand Epilepsy Feedback System 6.5.1 Demand Epilepsy Treatment System: Implementation 6.5.2 Detection Schemes and Electrodes 6.5.3 Processing System 6.5.4 Method of Seizure Termination 6.6 Requirements for Cl...