Results 81 to 90 of about 100,182 (299)

Hemispheric predominance of abnormal findings in electroencephalogram (EEG)

open access: yesSeizure, 2002
The EEGs of 13,560 patients have been reviewed in order to determine whether abnormal findings, epileptiform or not, have a hemispheric dominance. We have included outpatients and hospitalized patients as well. Eight hundred and thirty-five EEGs had generalized abnormal findings, and 414 EEGs had lateralized abnormal findings. The EEGs of 322 patients (
Gatzonis, SD   +8 more
openaire   +3 more sources

Human brain distinctiveness based on EEG spectral coherence connectivity

open access: yes, 2014
The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of current analysis rely on the extraction of features characterizing the activity of single brain regions, like power-
B. Vegso   +8 more
core   +3 more sources

Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset. [PDF]

open access: yes, 2014
Recent advances in mobile electroencephalogram (EEG) systems, featuring non-prep dry electrodes and wireless telemetry, have enabled and promoted the applications of mobile brain-computer interfaces (BCIs) in our daily life.
Bin   +45 more
core   +2 more sources

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer   +11 more
wiley   +1 more source

Extraction of Sleep-Spindles from the Electroencephalogram (EEG) [PDF]

open access: yes, 2000
Independent component analysis (ICA) is a powerful tool for separating signals from their observed mixtures. This area of research has produced many varied algorithms and approaches to the solution of this problem. The majority of these methods adopt a truly blind approach and disregard available a priori information in order to extract the original ...
Allan Kardec Barros   +4 more
openaire   +1 more source

EEG and EMG Sensorimotor Measurements to Assess Proprioception Following ACL Reconstruction [PDF]

open access: yes, 2018
The Anterior Cruciate Ligament (ACL) is the primary source of rotational stability in the knee by preventing the tibia from sliding in front of the femur. When the ACL is torn, it typically must be repaired through reconstructive surgery which results in
Northrup, Teagan Frances
core   +2 more sources

A New Approach to Automated Epileptic Diagnosis Using EEG and Probabilistic Neural Network

open access: yes, 2008
Epilepsy is one of the most common neurological disorders that greatly impair patient' daily lives. Traditional epileptic diagnosis relies on tedious visual screening by neurologists from lengthy EEG recording that requires the presence of seizure (ictal)
Bao, Forrest Sheng   +2 more
core   +1 more source

Do Complexity Measures of Frontal EEG Distinguish Loss of Consciousness in Geriatric Patients Under Anesthesia? [PDF]

open access: yes, 2018
While geriatric patients have a high likelihood of requiring anesthesia, they carry an increased risk for adverse cognitive outcomes from its use. Previous work suggests this could be mitigated by better intraoperative monitoring using indexes defined by
Caitlin M. Drover   +8 more
core   +2 more sources

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

Sleep Disorders and Genes [PDF]

open access: yes, 2019
Versão preprintThe sleep-wake cycle is a neurobiological phenomenon that shows intervals of activity alternating with restfulness that appears with a periodicity approximating the 24h day-night cycle.
Amici   +101 more
core   +1 more source

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