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EEG

Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments, 2010
In this work we describe the processing and classifying of EEG-data that was acquired under emotional conditions. In the context of assistive environment technology it is one of the most important challenges to get information about a persons emotional state. To get this information, psychophysiological data was recorded while stimulating subjects with
Bart Ellenbroek   +146 more
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To EEG or not EEG

Paediatrics and Child Health, 2018
Abstract A routine or standard Electroencephalography (EEG) study is frequently requested by paediatricians to aid diagnosis of epilepsy in children presenting with episodic behaviours. EEG study in children is significantly more sensitive if it includes a period of sleep. It is a valuable investigation provided it is considered in the context of good
openaire   +1 more source

A comprehensive review of EEG-based brain–computer interface paradigms

Journal of Neural Engineering, 2019
Advances in brain science and computer technology in the past decade have led to exciting developments in brain–computer interface (BCI), thereby making BCI a top research area in applied science.
R. Abiri   +4 more
semanticscholar   +1 more source

EEG and intelligence: Relations between EEG coherence, EEG phase delay and power

Clinical Neurophysiology, 2005
There are two inter-related categories of EEG measurement: 1, EEG currents or power and; 2, EEG network properties such as coherence and phase delays. The purpose of this study was to compare the ability of these two different categories of EEG measurement to predict performance on the Weschler Intelligence test (WISC-R).Resting eyes closed EEG was ...
R W, Thatcher, D, North, C, Biver
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Simultaneous EEG and fMRI Recordings (EEG-fMRI)

2013
Scalp EEG is characterised by a limited spatial resolution and by a low sensitivity to generators distant from the cortical surface. In contrast, fMRI is characterised by a good spatial resolution and it is sensitive to signal of deep brain structures. By combining EEG with fMRI, it is possible to detect blood oxygenation level-dependent (BOLD) signal ...
Friederike Moeller   +2 more
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Intraoperative EEG Patterns

Anesthesiology, 1984
Univariate descriptors such as the mean frequency and spectral edge frequency have been proposed for intraoperative representation of the EEG. Such univariate descriptors of the EEG are accurate only when the EEG behaves as a unimodal distribution of frequencies that change slowly with time.
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Digitales EEG und sinnvolle EEG-Montagen in der EEG-Routinediagnostik

Das Neurophysiologie-Labor, 2008
Zusammenfassung Die Lokalisation kortikal generierter EEG-Potentiale und deren Abgrenzung von extra-kortikal generierten EEG-Artefakten erfolgt im klinischen Alltag vornehmlich durch das Prinzip visueller Mustererkennung und einfacher Regeln der Lokalisationsdiagnostik.
openaire   +1 more source

Das EEG | The EEG

2015
The electroencephalogram (EEG) reflects the electrical activity of the brain. Berger [2] was the first to describe the human EEG which nowadays is a standard diagnostic tool in clinical practice in particular regarding stroke, traumatic brain injury, epilepsy and sleep disturbances.
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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

Neural computing & applications (Print), 2021
Hamdi Altaheri   +7 more
semanticscholar   +1 more source

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