Results 11 to 20 of about 1,230,009 (250)
Coherence analysis: Methods, solutions and problems [PDF]
, 2008 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A coherence function is a measure of the correlation of two signals and may be used as a measure for functional relationship between brain areas.
Irfan, Memon
core +7 more sources
Detection of intention level in response to task difficulty from EEG signals [PDF]
, 2013 We present an approach that enables detecting intention levels of subjects in response to task difficulty utilizing an electroencephalogram (EEG) based brain-computer interface (BCI).
Elif Hocaoglu +7 more
core +1 more source
Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: A comparative study [PDF]
, 2014 Deficits in the ability to process emotions characterize several neuropsychiatric disorders and are traits of Parkinson's disease (PD), and there is need for a method of quantifying emotion, which is currently performed by clinical diagnosis ...
Mohamad, Khairiyah +7 more
core +1 more source
Affection of facial artifacts caused by micro-expressions on electroencephalography signals
Frontiers in Neuroscience, 2022 Macro-expressions are widely used in emotion recognition based on electroencephalography (EEG) because of their use as an intuitive external expression.
Xiaomei Zeng +23 more
doaj +1 more source
Applied Sciences, 2019 Detecting pain based on analyzing electroencephalography (EEG) signals can enhance the ability of caregivers to characterize and manage clinical pain. However, the subjective nature of pain and the nonstationarity of EEG signals increase the difficulty ...
Rami Alazrai +3 more
doaj +1 more source
Approximate entropy as an indicator of non-linearity in self paced voluntary finger movement EEG [PDF]
, 2013 This study investigates the indications of non-linear dynamic structures in electroencephalogram signals. The iterative amplitude adjusted surrogate data method along with seven non-linear test statistics namely the third order autocorrelation, asymmetry
Balli, Tugce +2 more
core +1 more source
An Experiment of Ocular Artifacts Elimination from EEG Signals using ICA and PCA Methods
Journal of Mechatronics, Electrical Power, and Vehicular Technology, 2014 In the modern world of automation, biological signals, especially Electroencephalogram (EEG) is gaining wide attention as a source of biometric information.
Arjon Turnip +3 more
doaj +1 more source
Detection of epileptiform activity in EEG signals based on time-frequency and nonlinear analysis
Frontiers in Computational Neuroscience, 2015 We present a new technique for detection of epileptiform activity in EEG signals. After preprocessing of EEG signals we extract representative features in time, frequency and time-frequency domain as well as using nonlinear analysis.
Dragoljub eGajic +5 more
doaj +1 more source
Biophysically detailed forward modeling of the neural origin of EEG and MEG signals
NeuroImage, 2021 Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most important techniques for non-invasively studying cognition and disease in the human brain.
Solveig Næss +6 more
doaj +1 more source
Entropy, 2015 The brain is a complex structure made up of interconnected neurons, and its electrical activities can be evaluated using electroencephalogram (EEG) signals. The characteristics of the brain area affected by partial epilepsy can be studied using focal and
Rajeev Sharma +2 more
doaj +1 more source