quotNovel Method of Arrhythmia Classification based on Chaotic and Tetrolet Features quot

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dc.contributor.guideS.Pushpa
dc.coverage.spatial
dc.creator.researcherG.Jayagopi
dc.date.accessioned2024-02-26T09:21:49Z
dc.date.available2024-02-26T09:21:49Z
dc.date.awarded2021
dc.date.completed2021
dc.date.registered2014
dc.description.abstractnewline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/547353
dc.languageEnglish
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.publisher.placeChennai
dc.publisher.universitySt. Peter s Institute of Higher Education and Research
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.titlequotNovel Method of Arrhythmia Classification based on Chaotic and Tetrolet Features quot
dc.title.alternative
dc.type.degreePh.D.

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