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/10603/324558
| Title: | Artificial neural network based ECG classification for arrhythmia recognition |
| Researcher: | Raghu N. |
| Guide(s): | Meshram Vaibhav |
| Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
| University: | Jain University |
| Completed Date: | 2019 |
| Abstract: | newline |
| Pagination: | 105 p. |
| URI: | http://hdl.handle.net/10603/324558 |
| Appears in Departments: | Dept. of Electronics Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1. title.pdf | Attached File | 10.5 kB | Adobe PDF | View/Open |
| 80_recommendation.pdf | 431.23 kB | Adobe PDF | View/Open | |
| certificate guide signature copy.pdf | 394.91 kB | Adobe PDF | View/Open | |
| chapter 1.pdf | 1.5 MB | Adobe PDF | View/Open | |
| chapter 2.pdf | 257.11 kB | Adobe PDF | View/Open | |
| chapter 3.pdf | 991.12 kB | Adobe PDF | View/Open | |
| chapter 4.pdf | 788.8 kB | Adobe PDF | View/Open | |
| chapter 5.pdf | 191.07 kB | Adobe PDF | View/Open | |
| contents.pdf | 95.6 kB | Adobe PDF | View/Open |
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