Output details
11 - Computer Science and Informatics
University of Kent
A collaborative filtering approach for quasi-brain-death EEG analysis
<28> This paper was presented at the annual IEEE Signal Processing conference, and focuses on the further development of the collaborative adaptive filter for tracking brain consciousness states in real time. The key idea is to use two individual filters to form a feedback loop system and use the weights of the filters to model the consciousness state. The work is a further development of an invited Neurocomputing paper (Output 4), which investigates new phase algorithms to investigate the connectivity between different brain regions. This development showed the great potential of the framework in tracking brain states using phase analysis.