EEG human head modelling based on heterogeneous tissue conductivity
Author(s) -
Peng Wen,
Yan Li
Publication year - 2006
Publication title -
australasian physical and engineering sciences in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 31
eISSN - 1879-5447
pISSN - 0158-9938
DOI - 10.1007/bf03178571
Subject(s) - electroencephalography , computer science , head (geology) , conductivity , human head , feature (linguistics) , brain tissue , artificial intelligence , pattern recognition (psychology) , biomedical engineering , neuroscience , materials science , chemistry , medicine , biology , paleontology , linguistics , philosophy , absorption (acoustics) , composite material
This paper studies the effect of heterogeneous tissue conductivity in a human head model for the EEG forward problem. Firstly, the tissue heterogeneity in conductivity was characterised from measured data in the literature. Then a method was developed to include this feature in modelling. Finally, the effect of tissue heterogeneity on EEG signals was studied. Based on these studies the paper concludes that the inclusion of tissue heterogeneity is significant in accurate head modelling for the EEG problem.
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