Analysis of amplitude and phase characteristics for delta, theta, and alpha bands at localized time instant from EEG signals is important for the characterizing information processing in the brain. In this paper, complex demodulation method was used to analyze EEG (Electroencephalographic) signal, particularly for auditory evoked potential response signal, with sufficient time resolution and designated frequency bandwidth resolution required. The complex demodulation decomposes raw EEG signal into 3 designated delta, theta, and alpha bands with complex EEG signal representation at sampled time instant, which can enable the extraction of amplitude envelope and phase information. Throughout simulated test data, and real EEG signal acquired du...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Electroencephalogram (EEG) measures the brain oscillatory activity non-invasively. The localization ...
Background: Cerebral cortex oscillations as recorded on electroencephalograms involve multiple frequ...
Analysis of amplitude and phase characteristics for delta, theta, and alpha bands at localized time ...
Objectives The phase characteristics of the representative frequency components of the Electroenceph...
We propose a novel tool to evaluate the electroencephalograph (EEG) phase reset due to auditory atte...
EEG frequencies are traditionally subdivided in frequency bands such as theta (4-8 Hz), alpha (8-12 ...
be identified by observing phase-demodulated theta-band EEG signals 1 s prior to a subject’s answer....
abstract: Many mysteries still surround brain function, and yet greater understanding of it is vital...
The article presents a physical and mathematical model developed by the authors. The model allows an...
AbstractHuman brain consists of millions of neurons which are playing an important role for controll...
Increasing evidence indicates that the phase pattern and power of the low frequency oscillations of ...
The quantitative analysis of the electroencephalogram (EEG) relies heavily on methods of time series...
The classification and detection of event-related brain potentials were investigated using statistic...
The objective of this thesis is to determine if the incorporation of phase information, to the typic...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Electroencephalogram (EEG) measures the brain oscillatory activity non-invasively. The localization ...
Background: Cerebral cortex oscillations as recorded on electroencephalograms involve multiple frequ...
Analysis of amplitude and phase characteristics for delta, theta, and alpha bands at localized time ...
Objectives The phase characteristics of the representative frequency components of the Electroenceph...
We propose a novel tool to evaluate the electroencephalograph (EEG) phase reset due to auditory atte...
EEG frequencies are traditionally subdivided in frequency bands such as theta (4-8 Hz), alpha (8-12 ...
be identified by observing phase-demodulated theta-band EEG signals 1 s prior to a subject’s answer....
abstract: Many mysteries still surround brain function, and yet greater understanding of it is vital...
The article presents a physical and mathematical model developed by the authors. The model allows an...
AbstractHuman brain consists of millions of neurons which are playing an important role for controll...
Increasing evidence indicates that the phase pattern and power of the low frequency oscillations of ...
The quantitative analysis of the electroencephalogram (EEG) relies heavily on methods of time series...
The classification and detection of event-related brain potentials were investigated using statistic...
The objective of this thesis is to determine if the incorporation of phase information, to the typic...
Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and ...
Electroencephalogram (EEG) measures the brain oscillatory activity non-invasively. The localization ...
Background: Cerebral cortex oscillations as recorded on electroencephalograms involve multiple frequ...