@inproceedings{scholars4963,
            year = {2014},
             doi = {10.1109/ICIAS.2014.6869458},
            note = {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},
       publisher = {IEEE Computer Society},
         journal = {2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings},
         address = {Kuala Lumpur},
           title = {Novel framework for small-world network connectivity analysis for MEG data},
            isbn = {9781479946549},
          author = {Rasheed, W. and Tang, T. B. and Hamid, N. H. B.},
        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. {\^A}{\copyright} 2014 IEEE.},
        keywords = {Brain mapping; Coherent light; Magnetoencephalography; Three dimensional computer graphics; Visualization, 3D Visualization; Elekta; FIF; MEG; Neuromag, Small-world networks},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335947&doi=10.1109\%2fICIAS.2014.6869458&partnerID=40&md5=df34aea0eb761bc237c07ab4c24f6033}
}