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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kumar, Manjeet | - |
| dc.contributor.author | Kumar, Ashish | - |
| dc.contributor.author | Komaragiri, Rama S | - |
| dc.contributor.author | Ranganatham, Ramana | - |
| dc.date.accessioned | 2023-03-22T09:42:11Z | - |
| dc.date.available | 2023-03-22T09:42:11Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | http://lrcdrs.bennett.edu.in:80/handle/123456789/306 | - |
| dc.description.abstract | In this manuscript, a simplified R-peak detection algorithm is proposed. Firstly, ECG signal is denoised using Daubechies 20 wavelet transform based wavelet filter bank. The use of derivative and thresholding makes the R-peak detection simple and accurate. The proposed algorithm achieved an overall R-peak detection rate of 99.77% on the MIT-BIH database. The individual R-peak detection rate of the individual ECG signal varies from 98.64% to 100%. | en_US |
| dc.publisher | International Conference Nanotechnology for Instrumentation and Measurement Workshop, NANOfIM | en_US |
| dc.subject | Electrocardiogram (ECG); R-peak detector; wavelet filter bank (WFB). | en_US |
| dc.title | Simplified R-peak detection algorithm of an ECG Signal using Daubechies 20 Wavelet Transform | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | Conference/Seminar Papers_ ECE | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 27_Paper_ID_224_camera_ready_paper.pdf Restricted Access | 95.03 kB | Adobe PDF | View/Open Request a copy |
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