Over the past decades, electroencephalography (EEG) has become a widely applied and
highly sophisticated brain monitoring tool in a variety of intensive care unit (ICU) settings …

In the last two decades new noninvasive mobile electroencephalography (EEG) solutions
have been developed to overcome limitations of conventional clinical EEG and to improve …

The standard-setting clinical electroencephalography textbook has been rewritten for the
next decade of EEG technicians and resident and practicing neurologists. This Third Edition …

Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

BACKGROUND: Nonconvulsive seizures are a major source of in-hospital morbidity and a
cause of unexplained encephalopathy in critically ill patients. Electroencephalography …

Aims Potentially life-threatening diagnosis of non-convulsive status epilepticus (NCSE) can
only be confirmed with electroencephalography (EEG). When access to EEG is limited …

Objective. To study how early diagnoses from rapid EEG (rEEG) during the initial evaluation
of patients with suspected non‐convulsive seizures correlates with changes in anti‐seizure …

Introduction Current electroencephalography (EEG) practice relies on interpretation by
expert neurologists, which introduces diagnostic and therapeutic delays that can impact …

Neurodevelopment in the first 10 years of life is a critical time window during which
milestones that define an individual's functional potential are achieved. Comprehensive …

Abstract Purpose of Review To critically appraise the literature on the application, methods,
and advances in emergency electroencephalography (EEG). Recent Findings The …