Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/430204
Title: Computational algorithm for grading the severity of obstructive sleep apnoea a novel approach
Researcher: Rashmi Soori
Guide(s): Ivor D sa
Keywords: Clinical Pre Clinical and Health
Computational algorithm
Obstructive sleep apnoea
University: Nitte University
Completed Date: 2022
Abstract: newline
URI: http://hdl.handle.net/10603/430204
Appears in Departments:K S Hegde Medical Academy

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01_title.pdfAttached File234.52 kBAdobe PDFView/Open
02_certificate.pdf215.6 kBAdobe PDFView/Open
03_declaration.pdf264.75 kBAdobe PDFView/Open
04_acknowledgement.pdf229.21 kBAdobe PDFView/Open
05_content.pdf196.48 kBAdobe PDFView/Open
06_list of abbreviations, tables, figures.pdf147.31 kBAdobe PDFView/Open
07_abstract.pdf138.55 kBAdobe PDFView/Open
08_introduction.pdf191.21 kBAdobe PDFView/Open
09_methodology.pdf239.41 kBAdobe PDFView/Open
10_results.pdf827.86 kBAdobe PDFView/Open
11_discussion.pdf223.67 kBAdobe PDFView/Open
12_conclusion.pdf123.25 kBAdobe PDFView/Open
13_references.pdf228.45 kBAdobe PDFView/Open
14_annexures.pdf1.96 MBAdobe PDFView/Open
80_recommendation.pdf1.08 MBAdobe PDFView/Open
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