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  • Expression of Interest

    Real-time EEG Processing based on Machine Learning

    The reasearch areas include: Digital Signal Processing (DSP), Advance DSP, Artificial Intelligence and Machine Learning.

    The purpose of our research is to process EEG signals in real time, so as to realize the interpretation of EEG signals, and finally realize the recognition and classification of EEG signals.

    For the project, we proposed new time-resolved method based on Linear Predictive Coding (LPC) that particular suitabble for EEG processing. It is a useful tool for estimating the dominant frequency and observing the frequency changein EEG signal in real-time. The new method is a parameterisation method which can support further analysis through incorporation with machine learning. 

    Digital Signal Processing (DSP), Advance DSP, Artificial Intelligence and Machine Learning.

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