NDLI: Estimation of human head tissue conductivities by using in vivo E/MEG data and comparison of three different estimation algorithm results

Content Provider	IEEE Xplore Digital Library
Author	Sengul, G. Baysal, U. Haueisen, J.
Copyright Year	2004
Description	Author affiliation: Hacettepe Univ., Ankara, Turkey (Sengul, G.; Baysal, U.)
Abstract	Knowledge of tissue conductivities is needed to construct reliable volume conductor models of the human body and the head in solving forward and inverse bioelectric field problems. In this study three different estimation algorithms are applied to in vivo human head tissue resistivity estimation by using EEG and MEG data. The applied algorithms are conventional least-squared error algorithm (LSEE), Bayesian MAP algorithm and statistically constrained minimum mean squared error estimator (MiMSEE). The algorithms intake a priori information on body geometry (realistic boundary element model), statistical properties of regional conductivities (assumed to be uniformly distributed between upper and lower bounds), linearization error and instrumentation noise. The EEG-MEG data set has been obtained from a source localization experiment in which the median nerve has been stimulated. The anatomical boundary information has been extracted from 256 T1-weighted MRI images. The MEG data have been obtained by using a 31-channel magnetometer over the somatosensory cortex. By using the data, scalp, skull and brain conductivities have been estimated and estimation variances are calculated by using the algorithms. It is shown that MiMSEE algorithm gives lower error rates than the other two algorithms. The calculated error rates are 90 % for the LSEE, 20.5 % for the Bayesian MAP estimator and 12.5 % for the MiMSEE.
Sponsorship	IEEE Tubitak Istanbul Teknik Universitesi Aselsan Profilo Telra TURCom SGI Datacore Divit
Starting Page	114
Ending Page	117
File Size	278481
Page Count	4
File Format	PDF
ISBN	0780383184
DOI	10.1109/SIU.2004.1338271
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-04-30
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	In vivo Error analysis Biological system modeling Bayesian methods Humans Conductivity Brain modeling Conductors Bioelectric phenomena Magnetic heads
Content Type	Text
Resource Type	Article

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