With the advancement in artificial intelligence (AI) and machine learning (ML) techniques,
researchers are striving towards employing these techniques for advancing clinical practice …

The sudden and apparently unpredictable nature of seizures is one of the most disabling
aspects of the disease epilepsy. A method capable of predicting the occurrence of seizures …

We report on a quantitative analysis of electrocorticography data from a study that acquired
continuous ambulatory recordings in humans over extended periods of time. The objectives …

Electroencephalography (EEG) remains an essential diagnostic tool for people with epilepsy
(PWE). The International Federation of Clinical Neurophysiology produces new guidelines …

Seizures are a disruption of normal brain activity present across a vast range of species and
conditions. We introduce an organizing principle that leads to the first objective Taxonomy of …

Epilepsy is defined by the abrupt emergence of harmful seizures, but the nature of these
regime shifts remains enigmatic. From the perspective of dynamical systems theory, such …

Brain stimulation has emerged as an effective treatment for a wide range of neurological and
psychiatric diseases. Parkinson's disease, epilepsy, and essential tremor have FDA …

Epilepsy is a malfunction of the brain that affects over 50 million people worldwide. Epileptic
seizures are usually characterized by an abnormal synchronized firing of neurons involved …

The mechanism of seizure emergence and the role of brief interictal epileptiform discharges
(IEDs) in seizure generation are two of the most important unresolved issues in modern …

Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …