Introduction: Epileptic seizure detection is a key step for both researchers and epilepsy specialists for epilepsy assessment due to the non-stationariness and chaos in the electroencephalogram (EEG) signals. Current research is directed toward the development of an efficient method for epilepsy or seizure detection based the limited penetrable visibility graph (LPVG) algorith...

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...

Introduction: Neurological diseases are much often due to our stressed daily life, and epilepsy is considered as a second cause of hospitalization in neurological illness. It about 30% epileptic cases where medicine would not stop or control seizure; hence, surgical intervention required delineate abnormal hyperexcitable cortical tissue. Defining these epileptogenic zones challenge that require...

PURPOSE Heart rate-based seizure detection is a viable complement or alternative to ECoG/EEG. This study investigates the role of various biological factors on the probability of clinical seizure detection using heart rate. METHODS Regression models were applied to 266 clinical seizures recorded from 72 subjects to investigate if factors such as age, gender, years with epilepsy, etiology, sei...

Epilepsy is a neurological disorder characterized by recurrent seizures due to spontaneous changes of chemical synaptic coupling within the central nervous system. Numerous studies have been done in order increase level cognition epilepsy. Electroencephalography (EEG) as non-invasive technique with ability presenting potentials on head surface neural activity widely used epilepsy studies. The s...

the monitoring of epileptic seizures is mainly done by means of eeg (electroencephalogram) monitoring. although this method is accurate, it is not comfortable for the patient as the eeg-electrodes have to be attached to the scalp which hampers the patient’s movement. this makes long term home monitoring not feasible. in this paper the aim is to propose a seizure detection system based on accele...

Seizure is an important complication following ischemic or hemorrhagic stroke in older adults. Post-stroke seizure can be classified as early late according to the onset time after stroke. There a 71% risk for further seizures unprovoked poststroke seizure, which referred epilepsy. Common factors developing epilepsy include severity, cortical involvement, and seizure. The use of anti-seizure me...

In the last couple of years, the EEG signal analysis was focused on epilepsy seizure detection. Epilepsy is a common chronic neurological disorder; they are result of transient and unexpected electrical disturbance of the brain. Epilepsy seizures also a symptom of brain tumor existence, 30% patients with brain tumor are affected with epilepsy seizure. This paper proposes a two level brain tumor...

Epilepsy is one of the most common neurological disorders, by which around 1% of the people in the world are affected. Unfortunately, 25% of the epilepsy patients cannot be treated sufficiently by antiepileptic drugs and epilepsy surgery. If seizures cannot be well controlled, the patients experience major limitations in their lives. In recent years, open-loop seizure controllers, such as vagus...

Early detection of seizures could reduce associated morbidity and mortality and improve the quality of life of patients with epilepsy. In this study, the aim was to investigate whether ictal tachycardia is present in focal and generalized epileptic seizures in children. We sought to predict in which type of seizures tachycardia can be identified before actual seizure onset. Electrocardiogram se...