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Personal profile

Research interests

EEG,

Machine learning

Biomedical signal processing

Research Output

A convolutional neural network based framework for classification of seizure types

Raghu, Sriraam, N., Temel, Y., Rao, S. V. & Kubben, P. L., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE Xplore, Vol. 2019. p. 2547-2550 4 p. (IEEE Engineering in Medicine and Biology Society).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

A novel approach for classification of epileptic seizures using matrix determinant

Raghu, S., Sriraam, N., Hegde, A. S. & Kubben, P. L., 1 Aug 2019, In : Expert Systems with Applications. 127, p. 323-341 19 p.

Research output: Contribution to journalArticleAcademicpeer-review

Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier

Raghu, S., Sriraam, N., Temel, Y., Rao, S. V., Hegde, A. S. & Kubben, P. L., Jul 2019, In : Computers in Biology and Medicine. 110, p. 127-143 17 p.

Research output: Contribution to journalArticleAcademicpeer-review