Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/524132
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-11-08T06:44:42Z-
dc.date.available2023-11-08T06:44:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/524132-
dc.description.abstractnewline
dc.format.extent1-154
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleAnalysis of Wrist Pulse Signals to Distinguish Type II Diabetic and Non diabetic Subjects using Signal Processing Techniques
dc.title.alternative
dc.creator.researcherHema Priyadarshini S
dc.subject.keywordBiotechnology and Applied Microbiology
dc.subject.keywordLife Sciences
dc.subject.keywordMicrobiology
dc.description.note
dc.contributor.guideAnand Prem Rajan
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology, Vellore
dc.publisher.institutionSchool of Bio Science and Technology
dc.date.registered2014
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Bio Science and Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File55.18 kBAdobe PDFView/Open
02_prelimnary pages.pdf1.23 MBAdobe PDFView/Open
03_table of contents.pdf157.09 kBAdobe PDFView/Open
04_abstract.pdf123.15 kBAdobe PDFView/Open
05_chapter 1.pdf699.72 kBAdobe PDFView/Open
06_chapter 2.pdf226.87 kBAdobe PDFView/Open
07_chapter 3.pdf1.49 MBAdobe PDFView/Open
08_chapter 4.pdf2.63 MBAdobe PDFView/Open
09_chapter 5.pdf11.77 kBAdobe PDFView/Open
10_annexures.pdf330.79 kBAdobe PDFView/Open
80_recommendation.pdf65.92 kBAdobe PDFView/Open


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