To solve the problem of EEG signal on feature extraction and low recognition rate, we analyze the characteristics of EEG signal and propose an EEG signal analysis method based on common spatial ...

This module is meant to be used as a tool for EEG signal analysis based on graph signal analysis methods. The development of this toolbox takes place in GitHub. EEGraSP package uses other libraries ...

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Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada; This paper will focus on electroencephalogram (EEG) signal analysis with an ...

Motion artifacts are one of the most challenging non-physiological noise sources present in the biomedical signal, which can hinder the true performance of EEG-based neuro-engineering applications.

Motor imaging EEG signal recognition is an important and challenging research problem in human-computer interaction. Facing the accuracy and precision requirements of emotion recognition, this paper ...

The results from the two measurement techniques correlated perfectly. “The mathematical algorithms that we developed meant we could accurately interpret the data provided by the EEG and ascertain ...