BACKGROUND Epilepsy is a common chronic neurological disorder characterized by recurrent unprovoked seizures. Electroencephalogram (EEG) signals play a critical role in the diagnosis of epilepsy. Multichannel EEGs contain more information than do single-channel EEGs. Automatic detection algorithms for spikes or seizures have traditionally been implemented on single-channel EEG, and algorithms f...

The electroencephalogram (EEG) signal plays a key role in the diagnosis of epilepsy. Substantial data is generated by the EEG recordings of ambulatory recording systems, and detection of epileptic activity requires a time-consuming analysis of the complete length of the EEG time series data by a neurology expert. A variety of automatic epilepsy detection systems have been developed during the l...

Approximately 1% of the world’s population has epilepsy, and 25% of epilepsy patients cannot be treated sufficiently by any available therapy. If an automatic seizure-detection system was available, it could reduce the time required by a neurologist to perform an off-line diagnosis by reviewing electroencephalogram (EEG) data. It could produce an on-line warning signal to alert healthcare profe...

Investigators from the Mayo Clinic, Rochester Minnesota investigated the utility of three-dimensional (3D) double inversion recovery (DIR) sequences in magnetic resonance imaging (MRI) detection of focal cortical dysplasia (FCD) in children and young adults with epilepsy.

In detecting epileptic activity, medical experts examine the visual result of Electroencephalography signals. The analysis will take a lot time and effort, due to large amount data. Furthermore, there are some errors in concluding result. One ways analyze this quickly is use Machine Learning (ML) methods. This study aims evaluate performance 1D-CNN identifying given First, signal go through pre...

There exists various neurological disorder based diseases like tumor, sleep disorder, headache, dementia and Epilepsy. Among these, epilepsy is the most common illness in humans, comparable to stroke. Epilepsy a severe chronic that can be discovered through analysis of signals generated by brain neurons Magnetic resonance imaging (MRI). Neurons are intricately coupled order communicate generate...

EEG signal when decomposed into frequency subbands, gives us several statistical features in each band. Some of these features that may be employed for detection of epilepsy are explored in this paper.

Epilepsy is a neurological disorder and can be defined as a symptom where a sudden and transient disturbance occurs in the normal electrical activity of the brain (İnan & Kuntalp, 2007). Multiple factors can trigger epilepsy, such as brain injury, disease, light stimulation, and genetics. People may be born with the disorder; however, the exact underlying epilepsy mechanism is still uncertain. ...

It has been noted that people who have epilepsy an increased propensity for cognitive dysfunction. We explored 25 relevant articles on PubMed and Cochrane Library after implementing inclusion criteria. Different factors postulated studied may cause dysfunction in these patients; structural brain abnormalities, polypharmacy of antiepileptic medication, neuropsychiatric disorders are the most com...