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

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 mo...

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Main Authors: Rasheed, W., Tang, T.B., Hamid, N.H.B.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32156 /
Published: IEEE Computer Society 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335947&doi=10.1109%2fICIAS.2014.6869458&partnerID=40&md5=df34aea0eb761bc237c07ab4c24f6033
http://eprints.utp.edu.my/32156/
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id utp-eprints.32156
recordtype eprints
spelling utp-eprints.321562022-03-29T04:59:54Z Novel framework for small-world network connectivity analysis for MEG data Rasheed, W. Tang, T.B. Hamid, N.H.B. 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. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335947&doi=10.1109%2fICIAS.2014.6869458&partnerID=40&md5=df34aea0eb761bc237c07ab4c24f6033 Rasheed, W. and Tang, T.B. and Hamid, N.H.B. (2014) Novel framework for small-world network connectivity analysis for MEG data. In: UNSPECIFIED. http://eprints.utp.edu.my/32156/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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.
format Conference or Workshop Item
author Rasheed, W.
Tang, T.B.
Hamid, N.H.B.
spellingShingle Rasheed, W.
Tang, T.B.
Hamid, N.H.B.
Novel framework for small-world network connectivity analysis for MEG data
author_sort Rasheed, W.
title Novel framework for small-world network connectivity analysis for MEG data
title_short Novel framework for small-world network connectivity analysis for MEG data
title_full Novel framework for small-world network connectivity analysis for MEG data
title_fullStr Novel framework for small-world network connectivity analysis for MEG data
title_full_unstemmed Novel framework for small-world network connectivity analysis for MEG data
title_sort novel framework for small-world network connectivity analysis for meg data
publisher IEEE Computer Society
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335947&doi=10.1109%2fICIAS.2014.6869458&partnerID=40&md5=df34aea0eb761bc237c07ab4c24f6033
http://eprints.utp.edu.my/32156/
_version_ 1741197694333878272
score 11.62408

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