PMID- 22567990
OWN - NLM
STAT- MEDLINE
DCOM- 20120601
LR  - 20120508
IS  - 0044-4677 (Print)
IS  - 0044-4677 (Linking)
VI  - 62
IP  - 1
DP  - 2012 Jan-Feb
TI  - [Bayesian classifier for brain-computer interface based on mental representation 
      of movements].
PG  - 89-99
AB  - This paper proposes Bayesian approach to classification of EEG patterns on the 
      basis of imaginary movements of extremities based on analysis ofcovariance 
      matrices of native EEG recordings. An efficacy of a Brain-Computer Interface 
      (BCI) based on the proposed classifier is evaluated. Bayesian classifier is shown 
      to be competitive with the MCSP (Multiclass Common Spatial Patterns) classifier 
      known from the literature as one of the efficient variant for BCI implementation. 
      The influence of eye movement and blinking artifacts on the BCI performance is 
      investigated. It is shown that the presence of such artifacts does not affect the 
      classification accuracy.
FAU - Bobrov, P D
AU  - Bobrov PD
FAU - Korshakov, A V
AU  - Korshakov AV
FAU - Roshchin, V Iu
AU  - Roshchin VIu
FAU - Frolov, A A
AU  - Frolov AA
LA  - rus
PT  - English Abstract
PT  - Journal Article
PL  - Russia (Federation)
TA  - Zh Vyssh Nerv Deiat Im I P Pavlova
JT  - Zhurnal vysshei nervnoi deiatelnosti imeni I P Pavlova
JID - 9421551
SB  - IM
MH  - Adult
MH  - Algorithms
MH  - Bayes Theorem
MH  - Brain/*physiology
MH  - Electroencephalography/*classification
MH  - Eye Movements/*physiology
MH  - Humans
MH  - Imagination/*physiology
MH  - Male
MH  - *User-Computer Interface
MH  - Vision, Ocular/physiology
MH  - Visual Perception/*physiology
EDAT- 2012/05/10 06:00
MHDA- 2012/06/02 06:00
CRDT- 2012/05/10 06:00
PHST- 2012/05/10 06:00 [entrez]
PHST- 2012/05/10 06:00 [pubmed]
PHST- 2012/06/02 06:00 [medline]
PST - ppublish
SO  - Zh Vyssh Nerv Deiat Im I P Pavlova. 2012 Jan-Feb;62(1):89-99.