1. Shodhganga@INFLIBNET
  2. Jain University
  3. Dept. of Electronics Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/324558
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-05-06T06:00:49Z-
dc.date.available2021-05-06T06:00:49Z-
dc.identifier.urihttp://hdl.handle.net/10603/324558-
dc.description.abstractnewline
dc.format.extent105 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleArtificial neural network based ECG classification for arrhythmia recognition
dc.title.alternative
dc.creator.researcherRaghu N.
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideMeshram Vaibhav
dc.publisher.placeBengaluru
dc.publisher.universityJain University
dc.publisher.institutionDept. of Electronics Engineering
dc.date.registered2015
dc.date.completed2019
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Dept. of Electronics Engineering

Files in This Item:
File Description SizeFormat 
1. title.pdfAttached File10.5 kBAdobe PDFView/Open
80_recommendation.pdf431.23 kBAdobe PDFView/Open
certificate guide signature copy.pdf394.91 kBAdobe PDFView/Open
chapter 1.pdf1.5 MBAdobe PDFView/Open
chapter 2.pdf257.11 kBAdobe PDFView/Open
chapter 3.pdf991.12 kBAdobe PDFView/Open
chapter 4.pdf788.8 kBAdobe PDFView/Open
chapter 5.pdf191.07 kBAdobe PDFView/Open
contents.pdf95.6 kBAdobe PDFView/Open
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