TY  - CONF
N1  - 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
N2  - 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.
ID  - scholars4963
TI  - Novel framework for small-world network connectivity analysis for MEG data
KW  - Brain mapping; Coherent light; Magnetoencephalography; Three dimensional computer graphics; Visualization
KW  -  3D Visualization; Elekta; FIF; MEG; Neuromag
KW  -  Small-world networks
CY  - Kuala Lumpur
AV  - none
A1  - Rasheed, W.
A1  - Tang, T.B.
A1  - Hamid, N.H.B.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335947&doi=10.1109%2fICIAS.2014.6869458&partnerID=40&md5=df34aea0eb761bc237c07ab4c24f6033
Y1  - 2014///
PB  - IEEE Computer Society
SN  - 9781479946549
ER  -