TY - GEN
T1 - Virtual depth-electrode measurement using MEG eigenspace beamformer
AU - Sekihara, K.
AU - Poeppel, D.
AU - Miyashita, Y.
PY - 1999
Y1 - 1999
N2 - We have developed a method that can estimate the time course of a neural activity at a predetermined location with a high signal-to-noise ratio. Using this method, an MEG sensor array can perform like a virtual depth electrode in vivo. The developed method consists of two steps: the first step estimating the orientation of a neural source and the second step estimating its activity time course. The second step uses the eigenspace beamformer, which is known to give the signal-to-noise ratio higher than that from the conventional minimum-variance beamformer.
AB - We have developed a method that can estimate the time course of a neural activity at a predetermined location with a high signal-to-noise ratio. Using this method, an MEG sensor array can perform like a virtual depth electrode in vivo. The developed method consists of two steps: the first step estimating the orientation of a neural source and the second step estimating its activity time course. The second step uses the eigenspace beamformer, which is known to give the signal-to-noise ratio higher than that from the conventional minimum-variance beamformer.
UR - http://www.scopus.com/inward/record.url?scp=0033330698&partnerID=8YFLogxK
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M3 - Conference contribution
AN - SCOPUS:0033330698
SN - 0780356756
T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
SP - 464
BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PB - IEEE
T2 - Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
Y2 - 13 October 1999 through 16 October 1999
ER -