Shodhganga : a reservoir of Indian theses @ INFLIBNET
The Shodhganga@INFLIBNET Centre provides a platform for research students to deposit their Ph.D. theses and make it available to the entire scholarly community in open access.
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/463491
| Title: | Automated Diagnosis of Cardiac Arrhythmia Through Deep ECG Signal Learning |
| Researcher: | Gopisetty Ramesh |
| Guide(s): | D. Satyanarayana and M. Sailaja |
| Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
| University: | Jawaharlal Nehru Technological University, Kakinada |
| Completed Date: | 2022 |
| Abstract: | newline |
| Pagination: | |
| URI: | http://hdl.handle.net/10603/463491 |
| Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01.pdf | Attached File | 251.27 kB | Adobe PDF | View/Open |
| 02.pdf | 323.82 kB | Adobe PDF | View/Open | |
| 03.pdf | 261.27 kB | Adobe PDF | View/Open | |
| 04.pdf | 107.84 kB | Adobe PDF | View/Open | |
| 05.pdf | 1.07 MB | Adobe PDF | View/Open | |
| 06.pdf | 770.28 kB | Adobe PDF | View/Open | |
| 10.pdf | 331.53 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 427.17 kB | Adobe PDF | View/Open |
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