Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/557562
Title: | Photoplethysmography based arrhythmia detection and classification |
Researcher: | Neha |
Guide(s): | Rajesh Vishwanath Kanawade |
Keywords: | Engineering Engineering and Technology Engineering Biomedical |
University: | Academy of Scientific and Innovative Research (AcSIR) |
Completed Date: | 2023 |
Abstract: | newline |
Pagination: | All Pages |
URI: | http://hdl.handle.net/10603/557562 |
Appears in Departments: | Engineering Sciences (CSIR-CSIO) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 219.12 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 453.89 kB | Adobe PDF | View/Open | |
03_content.pdf | 270.45 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 334.66 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 545.91 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 474.6 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 300.18 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 2.2 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.14 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 228.79 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 4.55 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 781.38 kB | Adobe PDF | View/Open |
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