Please use this identifier to cite or link to this item: https://doi.org/10.1109/CCA.2007.4389275
DC FieldValue
dc.titleDetection of epileptic spike-wave discharges using SVM
dc.contributor.authorPan, Y.
dc.contributor.authorGe, S.S.
dc.contributor.authorTang, F.R.
dc.contributor.authorAl Mamun, A.
dc.date.accessioned2014-06-19T03:05:49Z
dc.date.available2014-06-19T03:05:49Z
dc.date.issued2007
dc.identifier.citationPan, Y.,Ge, S.S.,Tang, F.R.,Al Mamun, A. (2007). Detection of epileptic spike-wave discharges using SVM. Proceedings of the IEEE International Conference on Control Applications : 467-472. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/CCA.2007.4389275" target="_blank">https://doi.org/10.1109/CCA.2007.4389275</a>
dc.identifier.isbn1424404436
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69889
dc.description.abstractIn this work, support vector machine (SVM) is applied for detecting epileptic spikes and sharp waves in EEG signal. EEG data are obtained from two-channels EEG monitor on Swiss mice. Our technique maps these intracranial electroencephalogram (EEG) time series into corresponding novelty sequences by classifying short-time, energy based statistics computed from one-second windows of data. Numeric simulation studies demonstrate the effect of the SVM detection, and a comparison between SVM and artificial neural network with back-propagation algorithm is presented to show the advantages of SVM algorithm for detecting epileptic spikewave discharge in EEG time series. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CCA.2007.4389275
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CCA.2007.4389275
dc.description.sourcetitleProceedings of the IEEE International Conference on Control Applications
dc.description.page467-472
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

8
checked on Jun 16, 2019

Page view(s)

46
checked on Jun 14, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.