Name
Title | ||
|---|---|---|
Online robust R-peaks detection in noisy electrocardiograms using a novel iterative smart processing algorithm. |
Abstract | ||
|---|---|---|
•A 20-s sliding window is used to analyze the electrocardiogram in real time.•Interpolated median filtering performs an efficient baseline wander removal.•Signal and noise intensities are processed to separate R-peaks from artifacts.•Area over the peak curve is used to detect R-peaks with low processing requirements.•Incorrect heart periods are detectable using distance-based rules between R-peaks. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.amc.2019.124839 | Applied Mathematics and Computation |
Keywords | Field | DocType |
Electrocardiogram,ECG processing,R-peak detection,Filtering,Smart computing,State machine | Signal intensity,Wearable computer,Iterative method,Algorithm,Finite-state machine,Mathematics | Journal |
Volume | ISSN | Citations |
369 | 0096-3003 | 1 |
PageRank | References | Authors |
0.36 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Unai Zalabarria | 1 | 2 | 1.38 |
| Eloy Irigoyen | 2 | 38 | 14.23 |
| Raquel Martínez | 3 | 71 | 12.06 |
| Andrew Lowe | 4 | 1 | 0.36 |