Novel framework for small-world network connectivity analysis for MEG data

Author

Rasheed, Waqas ; Tong Boon Tang ; Bin Hamid, Nor Hisham

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia

fYear

2014

fDate

3-5 June 2014

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

data analysis; data visualisation; information storage; magnetoencephalography; medical disorders; medical signal processing; neurophysiology; small-world networks; standardisation; 3D visualization; FIF file format; MEG data coherence calculation; MEG data file format; MEG recording device vendors; artifact removal; computation overheads; data analysis; data comparison; data processing; data storage; human brain; neuronal dysfunction; operating cost; small-world level; small-world network connectivity analysis; standardization; Coherence; Electrodes; Magnetic noise; Magnetic separation; Magnetometers; Sensors; 3D visualization; Elekta; FIF; MEG; Magnetoencephalography; Neuromag; coherence; small-world network;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4799-4654-9

Type

conf

DOI

10.1109/ICIAS.2014.6869458

Filename

6869458