Certain investigations on automated epileptic seizure detection methods using fastica and neural network

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dc.contributor.guideThanushkodi Ken_US
dc.coverage.spatialCertain investigations on automated epileptic seizure detection methods using fastica and neural networken_US
dc.creator.researcherSivasankari Ken_US
dc.date.accessioned2015-09-11T05:19:53Z
dc.date.available2015-09-11T05:19:53Z
dc.date.awarded30/11/2014en_US
dc.date.completed01/11/2014en_US
dc.date.issued2015-09-11
dc.date.registeredn.d.en_US
dc.description.abstractThe occurrence of epileptic seizure is a common medical problem that newlinerequires automated detection methods Electroencephalogram EEG is the newlineconventional method for analyzing the electrical signals in the brain and detecting newlineepileptic seizures An automatic epileptic seizure detection requires automation newlineand optimization to obtain higher classification Accuracy and processing speed newlineThe thesis reports the development of automated epileptic seizure newlinedetector in a stepwise manner First the epileptic seizure detection is modeled newlinebased on Fast Independent Component Analysis FastICA and Back newlinePropagation Neural Network BPNN newline newlineen_US
dc.description.noteReference p. 157-169en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions23cmen_US
dc.format.extentxxviii, 170p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/49430
dc.languageEnglishen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.relationp. 157-169en_US
dc.rightsuniversityen_US
dc.source.universityUniversityen_US
dc.subject.keywordepileptic seizureen_US
dc.subject.keywordfastica and neuralen_US
dc.subject.keywordInformation and communication engineeringen_US
dc.titleCertain investigations on automated epileptic seizure detection methods using fastica and neural networken_US
dc.title.alternativeen_US
dc.type.degreePh.D.en_US

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