Results 1 to 10 of about 100,182 (299)
The role of the electroencephalogram (EEG) in determining the aetiology of catatonia: a systematic review and meta-analysis of diagnostic test accuracy [PDF]
Dory Anthony Ghanem +2 more
exaly +2 more sources
Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features [PDF]
Wang Y, Wang S, Xu M.
exaly +2 more sources
Background: Epilepsy in children causes memory problems in the learning process, so an early diagnosis of epilepsy is needed. The modality for determining the diagnosis of epilepsy is an electroencephalogram (EEG) examination.
Jerome Constantine Lekatompessy +2 more
doaj +1 more source
A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal [PDF]
Timothy Oladunni
exaly +2 more sources
Hypermotor seizure presenting with unusual psychiatric symptoms - a case report
We report a case of hypermotor seizure activity. The patient presented behavioural changes with previous reports of normal electroencephalogram (EEG). A prolonged video EEG of this patient showed rare epileptic abnormalities over the left frontocentral ...
Jith Arya +2 more
doaj +3 more sources
Epilepsy is one of the most serious nervous system diseases; it can be diagnosed accurately by video electroencephalogram. In this study, we analyzed microstate epileptic electroencephalogram (EEG) to aid in the diagnosis and identification of epilepsy ...
Li Yang +4 more
doaj +1 more source
This paper analyses the complexity of electroencephalogram (EEG) signals in different temporal scales for the analysis and classification of focal and non-focal EEG signals.
Marta Borowska
doaj +1 more source
Multimodal Neuromonitoring During Pediatric Cardiac Surgery
Introduction: Neuromonitoring (electroencephalogram [EEG] and cerebral oximetry) is essential for appropriate anesthesia and neuroprotection assessment during pediatric cardiac surgery.
Jyrson Guilherme Klamt +4 more
doaj +1 more source
Despite the growing interest in the use of electroencephalogram (EEG) signals as a potential biometric for subject identification and the recent advances in the use of deep learning (DL) models to study neurological signals, such as electrocardiogram ...
Mohamed Benomar +4 more
doaj +1 more source
Deep Convolutional Neural Network-Based Epileptic Electroencephalogram (EEG) Signal Classification [PDF]
Yunyuan Gao, Jia Liu, Yingchun Zhang
exaly +2 more sources

