Results 241 to 250 of about 100,182 (299)

Podcast‐induced reflex seizures: A unique trigger

Epileptic Disorders, EarlyView.
David W. Cao, Roberto Gonzalez, Irfan S. Sheikh, Melissa Huynh Mabry   +3 more
wiley   +1 more source

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Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences

Expert Systems With Applications, 2012
Choice conjures the idea of a directed selection of a desirable action or object, motivated by internal likes and dislikes, or other such preferences. However, such internal processes are simply the domain of our human physiology. Understanding the physiological processes of decision making across a variety of contexts is a central aim in decision ...
Rami N Khushaba, Luke Greenacre, Sarath Kodagoda   +2 more
exaly   +4 more sources

Educational simulation of the electroencephalogram (EEG)

Technology and Health Care, 2001
We describe a model for simulating a spontaneous electroencephalogram (EEG) and for simulating the effects of anesthesia on the EEG, to allow anesthesiologists and EEG technicians to learn and practice intraoperative EEG monitoring. For this purpose, we developed a linear model to manipulate the amplitude of the activity in each of the traditional EEG ...
Beer, de, N.A.M., Meurs, van, W.L., Grit, M.B.M., Good, M.L., Gravenstein, D.   +4 more
openaire   +3 more sources

EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Graph neural networks (GNN) are an emerging framework in the deep learning community. In most GNN applications, the graph topology of data samples is provided in the dataset. Specifically, the graph shift operator (GSO), which could be adjacency, graph Laplacian, or their normalizations, is known a priori.
Andac Demir, Toshiaki Koike-Akino, Ye Wang 0001, Deniz Erdogmus   +3 more
openaire   +2 more sources

Human identification with electroencephalogram (EEG) signal processing

2012 International Symposium on Communications and Information Technologies (ISCIT), 2012
Human identification becomes huge demand in particular for the security related areas. Biometric systems can employ different kinds of features, e.g., features of fingerprint, face, iris or posture. EEG signals are the signature of neural activities.
Xu Huang 0001, Salahiddin Altahat, Dat Tran 0001, Dharmendra Sharma 0001   +3 more
openaire   +1 more source

Electroencephalogram (EEG) and Its Background

2016
Electroencephalograms (EEGs) have become increasingly important measurements of brain activities for the diagnosis and treatment of mental and brain diseases and abnormalities. EEG recordings provide information about electrical activity of the brain. EEG signals’ parameters and patterns indicate the health states of the brain.
Siuly Siuly, Yan Li, Yanchun Zhang
openaire   +1 more source

The genetic basis of the normal human electroencephalogram (EEG)

Humangenetik, 1970
The genetic basis of the normal human electroencephalogram (EEG) was analyzed. Twin investigations showed complete concordance for most EEG characteristics in monozygotic twins of all age groups. Differences in high age include focal abnormalities and dysrhythmic groups. These differences failed to show a relation to mental performance. For a number of
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How Some Drugs Affect the Electroencephalogram (EEG)

American Journal of Electroneurodiagnostic Technology, 2005
The effects of drugs on the EEG vary and are often dose dependent. In general, drugs effects on the EEG are fairly predictable and include: no effect, accentuation of beta activity, background slowing with decreased amplitude and/or frequency of the alpha rhythm, intermixed theta and/or delta activity, decreased seizure activity, and lowering of the ...
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The hydro-electroencephalogram, a novel method of EEG recording

Electroencephalography and Clinical Neurophysiology, 1987
A novel method is described of recording EEG by means of electrodes in de-ionised water in which the scalp is immersed. It permits large numbers of closely packed electrodes to be connected quickly both in the plane of the scalp and three-dimensionally. A common reference potential can be derived from the whole immersed scalp.
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Electroencephalogram (EEG) Signal Processing

Electroencephalogram (EEG) Signal Processing, 2023
Rajesh Kumar Sharma, Suman Kumar Mishra, Shan-e- Fatima   +2 more
openaire   +1 more source