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 …

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

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

Background The use of processed electroencephalography (pEEG) for depth of sedation
(DOS) monitoring is increasing in anesthesia; however, how to use of this type of monitoring …

Background: Using machine learning to combine wrist accelerometer (ACM) and
electrodermal activity (EDA) has been shown effective to detect primarily and secondarily …

This work presents SeizFt—a novel seizure detection framework that utilizes machine
learning to automatically detect seizures using wearable SensorDot EEG data. Inspired by …

Objective Find the optimal continuous electroencephalographic (CEEG) monitoring duration
for seizure detection in critically ill patients. Methods We analyzed prospective data from 665 …

Refractory status epilepticus is defined as persistent seizures despite appropriate use of two
intravenous medications, one of which is a benzodiazepine. It can be seen in up to 40% of …

Electroencephalography (EEG) is a noninvasive electrophysiological monitoring technique
that records the electrical activities of the brain from the scalp using electrodes. EEG is not …

Objective To assess the value of background continuity and amplitude fluctuations of the
EEG for the prediction of outcome of comatose patients after cardiac arrest. Methods In a …