Abstract: Post-stroke depression (PSD) is a common post-stroke complication. Current studies have been conducted using electroencephalograph (EEG) signals for post-stroke depression detection and have ...
V1: Plots Time series of test subject 007 on channel 003 for filtered and unfiltered data V2: Plots Time series and spectrogram of test subject 007 on channel 003 for filtered and unfiltered data V3: ...
Experiments on in-ear EEG signals with extremely low SNR and in-ear sleep classification tasks show that, compared with the widely-used PSD, the Panorama spectrum offers better separability of ...
Methods: Multidimensional EEG characteristics were extracted from multiple domain (including power spectral density (PSD), fuzzy entropy (FuzEn), and functional connectivity features of mutual ...
To minimize 1/f scaling, PSD estimates were derived from the derivative of the EEG time series (20). PSD estimates at each channel and sleep stage were then normalized within-subject by dividing power ...
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Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Chronic pain management remains a major challenge due to the risks associated with ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This work investigates the integration of Fibonacci patterns and Golden Ratio ...
The authors combined neurophysiological (electroencephalography [EEG]) and neurochemical (magnetic resonance spectroscopy [MRS]) measures to empirically evaluate the neural noise hypothesis of ...
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