Journal article icon

Journal article

Adaptive BCI based on variational Bayesian Kalman filtering: an empirical evaluation.

Abstract:

This paper proposes the use of variational Kalman filtering as an inference technique for adaptive classification in a brain computer interface (BCI). The proposed algorithm translates electroencephalogram segments adaptively into probabilities of cognitive states. It, thus, allows for nonstationarities in the joint process over cognitive state and generated EEG which may occur during a consecutive number of trials. Nonstationarities may have technical reasons (e.g., changes in impedance betw...

Expand abstract
Publication status:
Published

Actions


Access Document


Publisher copy:
10.1109/tbme.2004.824128

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Journal:
IEEE transactions on bio-medical engineering
Volume:
51
Issue:
5
Pages:
719-727
Publication date:
2004-05-01
DOI:
EISSN:
1558-2531
ISSN:
0018-9294
Source identifiers:
12044

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP