1. Shodhganga@INFLIBNET
  2. Kurukshetra University
  3. Department of Electronic Sc.
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/286820
Title: Study of heart rate variability signal and machine learning approach for early stage prediction of sudden cardiac death
Researcher: Reeta Devi
Guide(s): Tyagi, Hitender Kumar and Dinesh Kumar
Keywords: Cardiac death
Electrocardiography
Engineering
Engineering and Technology
Engineering Electrical and Electronic
Heart Anatomy
Heart rate variability
University: Kurukshetra University
Completed Date: 2019
Abstract: file attached
Pagination: 199 p.
URI: http://hdl.handle.net/10603/286820
Appears in Departments:Department of Electronic Sc.

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File212.1 kBAdobe PDFView/Open
02_declaration.pdf83.32 kBAdobe PDFView/Open
03_acknowledgements.pdf72.94 kBAdobe PDFView/Open
04_contents.pdf231.42 kBAdobe PDFView/Open
05_certificate.pdf82.01 kBAdobe PDFView/Open
06_list of fig.pdf185.4 kBAdobe PDFView/Open
07_list of tables.pdf98.72 kBAdobe PDFView/Open
08_abbreviations.pdf23.3 kBAdobe PDFView/Open
09_abstract.pdf17.53 kBAdobe PDFView/Open
10_chapter 1 .pdf846.23 kBAdobe PDFView/Open
11_chapter 2.pdf470.84 kBAdobe PDFView/Open
12_chapter 3.pdf288.21 kBAdobe PDFView/Open
13_chapter 4.pdf1.22 MBAdobe PDFView/Open
14_chapter 5.pdf1.17 MBAdobe PDFView/Open
15_chapter 6.pdf1.19 MBAdobe PDFView/Open
16_chapter 7.pdf202.74 kBAdobe PDFView/Open
17_references.pdf256.21 kBAdobe PDFView/Open
18_summary.pdf365.31 kBAdobe PDFView/Open
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