Name
Title | ||
|---|---|---|
Respiratory rate estimation from the photoplethysmogram via joint sparse signal reconstruction and spectra fusion. |
Abstract | ||
|---|---|---|
•Joint sparse signal reconstruction is used to estimate respiratory rate from the PPG.•Two methods are proposed to fuse the sparse spectra to estimate respiratory rate.•The algorithms have been tested on a public benchmark database CapnoBase.•The algorithms works well with a low sampling frequency of 10Hz. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.bspc.2017.02.003 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Photoplethysmogram,Respiratory rate estimation,Joint sparse signal reconstruction,Spectra fusion | Pattern recognition,Photoplethysmogram,Sampling (signal processing),Fusion,Respiratory rate,Spectral line,Robustness (computer science),Artificial intelligence,Signal reconstruction,Kurtosis,Mathematics | Journal |
Volume | ISSN | Citations |
35 | 1746-8094 | 3 |
PageRank | References | Authors |
0.41 | 13 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaorong Zhang | 1 | 54 | 9.15 |
| Quan Ding | 2 | 59 | 7.72 |