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/10603/480782
| Title: | New diagnostic features from multilead ecg signal for detection of cardiac ailments |
| Researcher: | Tripathy, Rajesh Kumar |
| Guide(s): | Dandapat, Samarendra |
| Keywords: | Engineering Engineering and Technology Engineering Electrical and Electronic |
| University: | Indian Institute of Technology Guwahati |
| Completed Date: | 2016 |
| Abstract: | Electrocardiogram ECG provides the diagnostic information about the depolarization and the relaxation activities of heart chambers This diagnostic information is captured using morphological features amplitude duration and shape of P wave QRS complex and T wave of ECG The variations in the morphological features of ECG are the symptoms of particular heart pathology It is a time consuming task for medical experts to visually identify any subtle changes in the morphological features durin |
| Pagination: | Not Available |
| URI: | http://hdl.handle.net/10603/480782 |
| Appears in Departments: | DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 01_fulltext.pdf | Attached File | 9.31 MB | Adobe PDF | View/Open |
| 04_abstract.pdf | 101.76 kB | Adobe PDF | View/Open | |
| 80_recommendation.pdf | 315.88 kB | Adobe PDF | View/Open |
Items in Shodhganga are licensed under Creative Commons Licence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
Altmetric Badge: