Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/470475
Title: | Data driven approaches to assess acute pain intensity level using physiological and behavioural data |
Researcher: | Saranya Devi, S |
Guide(s): | Brindha, D |
Keywords: | Engineering and Technology Engineering Engineering Electrical and Electronic Acute pain Machine learning Biomedical signals |
University: | Anna University |
Completed Date: | 2021 |
Pagination: | xxiii,154p. |
URI: | http://hdl.handle.net/10603/470475 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 18.59 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.72 MB | Adobe PDF | View/Open | |
03_content.pdf | 101.71 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 317.82 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 417.01 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 166.75 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 917.17 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 741.9 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 316.25 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 392.53 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 271.86 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 1.49 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 87.99 kB | Adobe PDF | View/Open |
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