Output details
11 - Computer Science and Informatics
University of Kent
Output title
A collaborative filtering approach for quasi-brain-death EEG analysis
Type
E - Conference contribution
Name of conference/published proceedings
Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
Volume number
-
Issue number
-
First page of article
182
ISSN of proceedings
1520-6149
Year of publication
2011
Number of additional authors
4
Additional information
<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.
Interdisciplinary
-
Cross-referral requested
-
Research group
F - Future Computing Group
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
