Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/470475
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dc.coverage.spatialData driven approaches to assess acute pain intensity level using physiological and behavioural data
dc.date.accessioned2023-03-17T05:26:57Z-
dc.date.available2023-03-17T05:26:57Z-
dc.identifier.urihttp://hdl.handle.net/10603/470475-
dc.format.extentxxiii,154p.
dc.languageEnglish
dc.relationp.140-153
dc.rightsuniversity
dc.titleData driven approaches to assess acute pain intensity level using physiological and behavioural data
dc.title.alternative
dc.creator.researcherSaranya Devi, S
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordAcute pain
dc.subject.keywordMachine learning
dc.subject.keywordBiomedical signals
dc.description.note
dc.contributor.guideBrindha, D
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File18.59 kBAdobe PDFView/Open
02_prelim pages.pdf1.72 MBAdobe PDFView/Open
03_content.pdf101.71 kBAdobe PDFView/Open
04_abstract.pdf317.82 kBAdobe PDFView/Open
05_chapter 1.pdf417.01 kBAdobe PDFView/Open
06_chapter 2.pdf166.75 kBAdobe PDFView/Open
07_chapter 3.pdf917.17 kBAdobe PDFView/Open
08_chapter 4.pdf741.9 kBAdobe PDFView/Open
09_chapter 5.pdf316.25 kBAdobe PDFView/Open
10_chapter 6.pdf392.53 kBAdobe PDFView/Open
11_chapter 7.pdf271.86 kBAdobe PDFView/Open
12_annexures.pdf1.49 MBAdobe PDFView/Open
80_recommendation.pdf87.99 kBAdobe PDFView/Open


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