%0 Conference Paper
%A Rasheed, W.
%A Tang, T.B.
%A Hamid, N.H.B.
%D 2014
%F scholars:4963
%I IEEE Computer Society
%K Brain mapping; Coherent light; Magnetoencephalography; Three dimensional computer graphics; Visualization, 3D Visualization; Elekta; FIF; MEG; Neuromag, Small-world networks
%R 10.1109/ICIAS.2014.6869458
%T Novel framework for small-world network connectivity analysis for MEG data
%U https://khub.utp.edu.my/scholars/4963/
%X MEG is an emerging clinical tool to gather insight on neuronal dysfunction inside the human brain. This paper analyzes data saved as FIF file format at a small-world level. Traditionally, operating cost is very high for artifact removal. Also, the absence of a standardization with availability of more than a dozen MEG recording device vendors makes it difficult to store and process data followed by its comparison. This paper proposes a framework to avoid computation overheads, while it takes care of MEG data file format and calculates coherence with ease and efficiency. Small-world network is analyzed and 3D visualization is obtained. © 2014 IEEE.
%Z cited By 2; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042