Respiratory rate is a fundamental vital sign that is sensitive to different pathological
conditions (eg, adverse cardiac events, pneumonia, and clinical deterioration) and stressors …

Since the manual detection of electrographic seizures in continuous electroencephalogram
(EEG) monitoring is very time-consuming and requires a trained expert, attempts to develop …

Digital processing of electroencephalography (EEG) signals has now been popularly used
in a wide variety of applications such as seizure detection/prediction, motor imagery …

Nearly one-third of patients with epilepsy continue to have seizures despite optimal
medication management. Systems employed to detect seizures may have the potential to …

Neonatal seizures are a common emergency in the neonatal intensive care unit (NICU).
There are many questions yet to be answered regarding the temporal/spatial characteristics …

Identifying a core set of features is one of the most important steps in the development of an
automated seizure detector. In most of the published studies describing features and seizure …

Accurate seizure prediction will transform epilepsy management by offering warnings to
patients or triggering interventions. However, state-of-the-art algorithm design relies on …

Background Despite the availability of continuous conventional electroencephalography
(cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice …

Visual inspection of long-term electroencephalography (EEG) is a tedious task for
physicians in neurology. Based on bidirectional gated recurrent unit (Bi-GRU) neural …

Epilepsy is a common neurological condition which affects the central nerve system that
causes people to have a seizure and can be assessed by electroencephalogram (EEG). A …