TY - GEN
T1 - Posterior probability estimation for actual and artifactual components from MEG data
AU - Phothisonothai, Montn
AU - Watanabe, Katsumi
AU - Yoshimura, Yuko
N1 - Publisher Copyright:
© 2013 IEEE. All rights reserved.
PY - 2013
Y1 - 2013
N2 - The presence of physiological artifacts from magnetoencephalogram (MEG) data, e.g., eye movements, muscular contractions, cardiac signals, sudden high-amplitude changes, and environmental noise reduce the correctness of interpretation. Therefore, the automatic artifact removal is needed. In this paper, we present a posterior probabilities of actual and artifactual components in order to determine optimal threshold values for each parameter. The results showed that the actual and artifactual MEG components were classified clearly by using optimal threshold values of 1.352, 0.017, 0.443, 0.949, and 0.963 for kurtosis (K), probability density (PD), central moment of frequency (CMoF), spectral entropy (SpecEn), and fractal dimension (FD), respectively.
AB - The presence of physiological artifacts from magnetoencephalogram (MEG) data, e.g., eye movements, muscular contractions, cardiac signals, sudden high-amplitude changes, and environmental noise reduce the correctness of interpretation. Therefore, the automatic artifact removal is needed. In this paper, we present a posterior probabilities of actual and artifactual components in order to determine optimal threshold values for each parameter. The results showed that the actual and artifactual MEG components were classified clearly by using optimal threshold values of 1.352, 0.017, 0.443, 0.949, and 0.963 for kurtosis (K), probability density (PD), central moment of frequency (CMoF), spectral entropy (SpecEn), and fractal dimension (FD), respectively.
KW - (Magnetoencephalography)
KW - Cognitive neurosicence
KW - Duration information
KW - MEG
KW - Short-term memory
UR - http://www.scopus.com/inward/record.url?scp=85109389120&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85109389120&partnerID=8YFLogxK
U2 - 10.1109/KST.2013.6512811
DO - 10.1109/KST.2013.6512811
M3 - Conference contribution
AN - SCOPUS:85109389120
T3 - Proceedings of the 2013 5th International Conference on Knowledge and Smart Technology, KST 2013
SP - 176
EP - 177
BT - Proceedings of the 2013 5th International Conference on Knowledge and Smart Technology, KST 2013
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Knowledge and Smart Technology, KST 2013
Y2 - 31 January 2013 through 1 February 2013
ER -