Results 1 to 10 of about 236,683 (245)

Landscape Perception Identification and Classification Based on Electroencephalogram (EEG) Features [PDF]

International Journal of Environmental Research and Public Health, 2022
Shujian Wang
exaly   +2 more sources

The role of the electroencephalogram (EEG) in determining the aetiology of catatonia: a systematic review and meta-analysis of diagnostic test accuracy [PDF]

EClinicalMedicine, 2023
Jonathan Rogers, Tomáš Mastellari, Dory Anthony Ghanem   +2 more
exaly   +2 more sources

THE RELATIONSHIP OF EPILEPTIFORM WAVES IN ELECTROENCEPHALOGRAM WITH EPILEPSY TYPE OF SCHOOL-AGE EPILEPSY PATIENTS

Malang Neurology Journal, 2023
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, Bertha Jean Que, Laura Bianca Sylvia Huwae   +2 more
doaj   +1 more source

EEG Microstate Features as an Automatic Recognition Model of High-Density Epileptic EEG Using Support Vector Machine

Brain Sciences, 2022
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, Jiaxiu He, Ding Liu, Wen Zheng, Zhi Song   +4 more
doaj   +1 more source

Multiscale Permutation Lempel–Ziv Complexity Measure for Biomedical Signal Analysis: Interpretation and Application to Focal EEG Signals

Entropy, 2021
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

Hypermotor seizure presenting with unusual psychiatric symptoms - a case report

Kerala Journal of Psychiatry, 2021
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 , Narayanan Dinesh , V Neelima   +2 more
doaj   +3 more sources

A machine learning approach to epileptic seizure prediction using Electroencephalogram (EEG) Signal [PDF]

Biocybernetics and Biomedical Engineering, 2020
Timothy Oladunni
exaly   +2 more sources

Multimodal Neuromonitoring During Pediatric Cardiac Surgery

Brazilian Journal of Cardiovascular Surgery, 2022
Introduction: Neuromonitoring (electroencephalogram [EEG] and cerebral oximetry) is essential for appropriate anesthesia and neuroprotection assessment during pediatric cardiac surgery.
Jyrson Guilherme Klamt, Waynice Neiva de Paula Garcia, Mariana de Carvalho, Luis Vicente Garcia, Antonio Carlos Menardi   +4 more
doaj   +1 more source

Investigation of EEG-Based Biometric Identification Using State-of-the-Art Neural Architectures on a Real-Time Raspberry Pi-Based System

Sensors, 2022
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, Steven Cao, Manoj Vishwanath, Khuong Vo, Hung Cao   +4 more
doaj   +1 more source

Sponge EEG is equivalent regarding signal quality, but faster than routine EEG

Clinical Neurophysiology Practice, 2023
Objective: Emergency diagnostics, such as acquisition of an electroencephalogram (EEG), are of great diagnostic importance, but there is often a lack of experienced personnel. Wet active electrode sponge-based electroencephalogram (sp-EEG) systems can be
Michael Günther, Leonie Schuster, Christian Boßelmann, Holger Lerche, Ulf Ziemann, Katharina Feil, Justus Marquetand   +6 more
doaj   +1 more source