Spatial interaction of electroencephalography signal during epileptic seizure on flat electroencephalography

Signal quality of endovascular electroencephalography.

UNLABELLED Objective, Approach. A growing number of prototypes for diagnosing and treating neurological and psychiatric diseases are predicated on access to high-quality brain signals, which typically requires surgically opening the skull. Where endovascular navigation previously transformed the treatment of cerebral vascular malformations, we now show that it can provide access to brain signal...

Electroencephalography

Recent advances in electroencephalography (EEG) research are presented. Particular emphasis is placed on sleep and epilepsy research in humans. In this context, among others, studies on the modifications of EEG epileptic activity during sleep are discussed in more detail. A large number of reports come from EEG monitoring during presurgical evaluation and surgical treatment of drug-resistant ep...

Electroencephalography.

On the Use of Wavelet Neural Networks in the Task of Epileptic Seizure Detection from Electroencephalography Signals

This paper investigates the feasibility and effectiveness of wavelet neural networks (WNNs) in the task of epileptic seizure detection. The electroencephalography (EEG) signals were first pre-processed using discrete wavelet transforms (DWTs). This was followed by the feature selection stage, where two sets of four representative summary statistics were computed. The features obtained were fed ...

Sensitivity of amplitude-integrated electroencephalography for neonatal seizure detection.

BACKGROUND Conventional electroencephalography remains the gold standard for the diagnosis and quantification of neonatal seizures. However, amplitude-integrated electroencephalography (aEEG) is being introduced to neonatal intensive care as an adjunct for neonatal seizure detection. OBJECTIVES This study's purpose was to determine the sensitivity of neonatal seizure detection in a single ele...