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Automated visualization for epilepsy surgical evaluation

Epilepsy is a neurological illness which may be controlled by medication but not fully cured. In the case of pharmacoresistant epilepsy, seizures may prove fatal and surgery becomes an option. Compared with EEG (electro-encephalography), MEG (magenetoencephalography) offers greater accuracy in epile...

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Main Authors: Rasheed, W., Tang, T.B., Hamid, N.H., Idris, Z., Abdullah, J.M.
Format: Conference or Workshop Item
Published: 2013
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897693725&doi=10.1109%2fNER.2013.6695992&partnerID=40&md5=356f5c271fdaccc5cd389a1a04312ba5
http://eprints.utp.edu.my/32505/
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spelling my.utp.eprints.325052022-03-29T14:04:23Z Automated visualization for epilepsy surgical evaluation Rasheed, W. Tang, T.B. Hamid, N.H. Idris, Z. Abdullah, J.M. Epilepsy is a neurological illness which may be controlled by medication but not fully cured. In the case of pharmacoresistant epilepsy, seizures may prove fatal and surgery becomes an option. Compared with EEG (electro-encephalography), MEG (magenetoencephalography) offers greater accuracy in epilepsy localization owing to higher spatial resolution. However, streaming data from MEG system for surgical evaluation involves cumbersome processes, e.g. down-sampling, artifact removal (via Independent Component Analysis most of the time) and time/frequency plotting. This paper proposes an automated framework using open-source solutions to visualize epilepsy. The capability of the framework is demonstrated with a case of epilepsy surgery. © 2013 IEEE. 2013 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897693725&doi=10.1109%2fNER.2013.6695992&partnerID=40&md5=356f5c271fdaccc5cd389a1a04312ba5 Rasheed, W. and Tang, T.B. and Hamid, N.H. and Idris, Z. and Abdullah, J.M. (2013) Automated visualization for epilepsy surgical evaluation. In: UNSPECIFIED. http://eprints.utp.edu.my/32505/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Epilepsy is a neurological illness which may be controlled by medication but not fully cured. In the case of pharmacoresistant epilepsy, seizures may prove fatal and surgery becomes an option. Compared with EEG (electro-encephalography), MEG (magenetoencephalography) offers greater accuracy in epilepsy localization owing to higher spatial resolution. However, streaming data from MEG system for surgical evaluation involves cumbersome processes, e.g. down-sampling, artifact removal (via Independent Component Analysis most of the time) and time/frequency plotting. This paper proposes an automated framework using open-source solutions to visualize epilepsy. The capability of the framework is demonstrated with a case of epilepsy surgery. © 2013 IEEE.
format Conference or Workshop Item
author Rasheed, W.
Tang, T.B.
Hamid, N.H.
Idris, Z.
Abdullah, J.M.
spellingShingle Rasheed, W.
Tang, T.B.
Hamid, N.H.
Idris, Z.
Abdullah, J.M.
Automated visualization for epilepsy surgical evaluation
author_facet Rasheed, W.
Tang, T.B.
Hamid, N.H.
Idris, Z.
Abdullah, J.M.
author_sort Rasheed, W.
title Automated visualization for epilepsy surgical evaluation
title_short Automated visualization for epilepsy surgical evaluation
title_full Automated visualization for epilepsy surgical evaluation
title_fullStr Automated visualization for epilepsy surgical evaluation
title_full_unstemmed Automated visualization for epilepsy surgical evaluation
title_sort automated visualization for epilepsy surgical evaluation
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897693725&doi=10.1109%2fNER.2013.6695992&partnerID=40&md5=356f5c271fdaccc5cd389a1a04312ba5
http://eprints.utp.edu.my/32505/
_version_ 1738657396268466176
score 13.211869

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