Contribute to gsp-eeg/PyGSP2 development by creating an account on GitHub. Graph Signal Processing 2 in Python . Contribute to gsp-eeg/PyGSP2 development by ... and the Swiss roll; to networks like ...

The EEG signal is initially encoded into an amplitude-encoding quantum state, facilitating multi-channel and multi-sample scenarios. This method extends to other time-series data like speech and stock ...

1. Introduction. Current neuroscientific discoveries have led to the concept of using brain signals as additional input to control audio signal processing in hearing devices (Slaney et al., 2020).In ...

In order to remove the noises mixed in EEG signals and improve the classification accuracy of motor imagery EEG signals, an EEG processing method based on EMD+ICA+ deep learning is proposed in this ...

Sleep apnea, a severe sleep disorder, is a clinically complicated disease that requires timely diagnosis for proper treatment. In this paper, an automated deep learning-based approach is proposed for ...

An electroencephalogram (EEG) study of adolescents with autism spectrum disorder (ASD) identified a neural signal that may help explain the variation of how those with ASD perceive or understand ...

To this end, we observed that at scale 10 and beyond, EEG signal complexity becomes significantly different between the hand proximal and distal conditions. To our knowledge, this is the first ...