Please use this identifier to cite or link to this item:
http://localhost:8081/xmlui/handle/123456789/13467Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | C., Jaya Krishna | - |
| dc.date.accessioned | 2014-12-06T06:58:43Z | - |
| dc.date.available | 2014-12-06T06:58:43Z | - |
| dc.date.issued | 2001 | - |
| dc.identifier | M.Tech | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/13467 | - |
| dc.guide | Saxena, S. C. | - |
| dc.guide | Kumar, Vinod | - |
| dc.description.abstract | Wavelet Transforms are widely preferred for the analysis of non-stationary signals because of their property of multi-resolution analysis, thereby implying the analysis of the signal of different frequencies with different resolutions. They are in turn robust to noise signals which are mixed up with the signal of interest during acquisition. This report presents discrete wavelet transform based methods of pre-processing of the ECG signal for the removal of high frequency noise and low frequency baseline drift. It also presents a discrete wavelet transform based algorithm for the detection of QRS complex in the ECG signal. The algorithms have been tested using the CSE database | en_US |
| dc.language.iso | en | en_US |
| dc.subject | ELECTRICAL ENGINEERING | en_US |
| dc.subject | FEATURE EXTRACTION | en_US |
| dc.subject | ECG SIGNAL | en_US |
| dc.subject | WAVELET TRANSFORMS | en_US |
| dc.title | FEATURE EXTRACTION FROM ECG SIGNAL USING WAVELET TRANSFORMS | en_US |
| dc.type | M.Tech Dessertation | en_US |
| dc.accession.number | G10261 | en_US |
| Appears in Collections: | MASTERS' THESES (Electrical Engg) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| EED G10261.pdf | 2.71 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.