TY - GEN
T1 - Parallel Factor Analysis can decompose human EEG during a finger movement task
AU - Mizuhara, Hiroaki
AU - Yonehara, Etsuji
AU - Gofuku, Akio
PY - 2007/12/1
Y1 - 2007/12/1
N2 - To achieve a non-invasive brain computer interface by using the human scalp EEG, we applied the parallel factor analysis (PARAFAC) decomposition to the EEG data measured during the self-initiated and externally cued finger movement tasks. The results showed that the PARAFAC model can decompose the human scalp EEG and identify the intention, which concerns with the finger movement. By applying the core consistency diagnostic to the PARAFAC model, we discussed the feasible method for identifying the appropriate number of the components. Our results suggest that the combination of the EEG and other neuroimaging modality should be applied for producing the appropriate number of the components of the PARAFAC model for the purpose of the non-invasive brain computer interface, while the core consistency diagnostic could decide the minimum number of the components.
AB - To achieve a non-invasive brain computer interface by using the human scalp EEG, we applied the parallel factor analysis (PARAFAC) decomposition to the EEG data measured during the self-initiated and externally cued finger movement tasks. The results showed that the PARAFAC model can decompose the human scalp EEG and identify the intention, which concerns with the finger movement. By applying the core consistency diagnostic to the PARAFAC model, we discussed the feasible method for identifying the appropriate number of the components. Our results suggest that the combination of the EEG and other neuroimaging modality should be applied for producing the appropriate number of the components of the PARAFAC model for the purpose of the non-invasive brain computer interface, while the core consistency diagnostic could decide the minimum number of the components.
KW - Blind source separation
KW - Brain computer interface
KW - Cognitive neuroscience
KW - Electroencephalography
KW - Functional brain imaging
KW - Human executive function
UR - http://www.scopus.com/inward/record.url?scp=50249177748&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249177748&partnerID=8YFLogxK
U2 - 10.1109/SICE.2007.4421305
DO - 10.1109/SICE.2007.4421305
M3 - Conference contribution
AN - SCOPUS:50249177748
SN - 4907764286
SN - 9784907764289
T3 - Proceedings of the SICE Annual Conference
SP - 1945
EP - 1950
BT - SICE Annual Conference, SICE 2007
T2 - SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
Y2 - 17 September 2007 through 20 September 2007
ER -