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EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
BCIs bridge the gap in neurological care, translating brain activity into commands for communication and device control, enhancing quality of life for patients.
Study of emotion using electroencephalography has become more attractive due to many algorithms developed by the signal processing community. Direct detection and classification of emotion signal ...
The brain status and often the entire body condition can be recognized by applying advanced digital signal processing and machine learning methods to the electroencephalography (EEG) signals measured ...
Mind blanking is real, and it's not just zoning out. Neuroscientists have identified it as a distinct mental state where the ...
In face-to-face conversations, speakers use hand movements to signal meaning. But do listeners actually use these gestures to ...
Humans use hand gestures during conversation, but until now, it wasn’t clear whether listeners actively use these gestures to ...
Finally, we split the raw EEG signal into non-overlapping 5-s segments for expanding the available data ... and overcome the problem of gradient disappearance for processing long sequences in ...
The analysis and processing of EEG signals is complex since EEG are nonstationary, nonlinear, and often contaminated by intense background noise. Principal component analysis (PCA) and independent ...