Name
Title | ||
|---|---|---|
Synchrosqueezing an effective method for analyzing Doppler radar physiological signals |
Abstract | ||
|---|---|---|
Doppler radar can monitor vital sign wirelessly. Respiratory and heart rate have time-varying behavior. Capturing the rate variability provides crucial physiological information. However, the common time-frequency methods fail to detect key information. We investigate Synchrosqueezing method to extract oscillatory components of the signal with time varying spectrum. Simulation and experimental result shows the potential of the proposed method for analyzing signals with complex time-frequency behavior like physiological signals. Respiration and heart signals and their components are extracted with higher resolution and without any pre-filtering and signal conditioning. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/EMBC.2016.7590690 | 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Keywords | Field | DocType |
Doppler Effect,Fourier Analysis,Heart Rate,Humans,Monitoring, Physiologic,Radar,Respiration,Signal Processing, Computer-Assisted,Time Factors | Doppler radar,Signal conditioning,Spectrogram,Effective method,Computer science,Electronic engineering,Feature extraction,Time–frequency analysis | Conference |
Volume | ISSN | ISBN |
2016 | 1557-170X | 978-1-4577-0219-8 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ehsan Yavari | 1 | 9 | 5.07 |
| Ashikur Rahman | 2 | 0 | 0.34 |
| Jia Xu | 3 | 298 | 36.94 |
| Danilo Mandic | 4 | 1641 | 173.32 |
| Olga Boric-Lubecke | 5 | 51 | 19.81 |