Name
Abstract | ||
|---|---|---|
Received signal strength based respiration rate monitoring is emerging as an alternative non-contact technology. These systems make use of the radio measurements of short-range commodity wireless devices, which vary due to the inhalation and exhalation motion of a person. The success of respiration rate estimation using such measurements depends on the signal-to-noise ratio, which alters with prop... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TMC.2019.2897682 | IEEE Transactions on Mobile Computing |
Keywords | Field | DocType |
Monitoring,Estimation,Signal to noise ratio,Pollution measurement,Numerical models,Radar,OFDM | Wireless,System of measurement,Control theory,Computer science,Coherence (physics),Respiration rate,Respiratory rate,RSS,Logarithmic scale,Estimator | Journal |
Volume | Issue | ISSN |
19 | 3 | 1536-1233 |
Citations | PageRank | References |
1 | 0.34 | 12 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hüseyin Yigitler | 1 | 74 | 10.20 |
| Ossi Kaltiokallio | 2 | 221 | 14.41 |
| Roland Hostettler | 3 | 21 | 6.53 |
| Alemayehu Solomon Abrar | 4 | 11 | 3.02 |
| Riku Jäntti | 5 | 773 | 92.13 |
| Neal Patwari | 6 | 3805 | 241.58 |
| Simo Särkkä | 7 | 623 | 66.52 |