نتایج جستجو برای: eeg spectral features

تعداد نتایج: 700898  

Journal: :Clinical Neurophysiology 2017
S. Koch A. M. Stegherr R. Mörgeli S. Kramer E. Toubekis G. Lichtner F. von Dincklage C. Spies

OBJECTIVE Anaesthesia-induced dynamics in EEG are dependent on age and level of anaesthesia, but distinct characterisation in children is incomplete. Here we analyse EEG dynamics in children related to age and level of anaesthesia. METHODS Frontal EEG recordings were obtained from 93 children (0-19years) during routine clinical anaesthesia. EEG segments were selected at four different levels ...

Journal: :Journal of neurology, neurosurgery, and psychiatry 1989
H Koponen J Partanen A Pääkkönen E Mattila P J Riekkinen

Spectral analysis of EEG was conducted for 51 elderly delirious patients meeting the Diagnostic and Statistical Manual of Mental Disorders III (DSM-III) criteria and for 19 controls. As a whole group, and also when subdivided according to the type of delirium, severity of cognitive decline or the type of central nervous system disease, delirious patients showed significant reductions of alpha p...

Journal: :Neurocomputing 2008
Anna Krakovská Svorad Stolc

The paper relates to possible connection between spectrum power-law decay and correlation dimension estimation for electroencephalogram (EEG). EEG signals recorded during relaxed wakefulness were analysed. Power-law decay of about 2.28 prevailing over the exponential falling off was established when exponent from the whole EEG spectrum was taken. The correlation dimension was also estimated. Th...

Journal: :Journal of Neuroscience Methods 2016

Journal: :IEEE Access 2022

In recent years, neural networks and especially deep architectures have received substantial attention for EEG signal analysis in the field of brain-computer interfaces (BCIs). this ongoing research area, end-to-end models are more favoured than traditional approaches requiring transformation pre-classification. They can eliminate need prior information from experts extraction handcrafted featu...

Journal: :IEEE Access 2021

Deep neural network is a promising method to recognize motor imagery electroencephalography (MI-EEG), which often used as the source signal of rehabilitation system; and core issues are data representation matched networks. MI-EEG images one main expressions, however, all measured trial usually integrated into image, causing information loss, especially in time dimension; architecture might not...

Journal: :Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology 2003
Walter J Freeman Mark D Holmes Brian C Burke Sampsa Vanhatalo

OBJECTIVE Evaluate spectral scaling properties of scalp electroencephalogram (EEG) and electromyogram (EMG), optimal spacing of electrodes, and strategies for mitigating EMG. METHODS EEG was recorded referentially from 9 subjects with a 64 channel linear array (electrodes 3mm apart) placed parasagittally or transversely on forehead or occiput, at rest with eyes open or closed, or with deliber...

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