Name
Abstract | ||
|---|---|---|
Respiratory rhythm is the marker of respiratory diseases. A compromised respiratory system can be life threatening and potentially cause damage to other organs and tissues. However, most people do not realize the importance of respiratory rhythm detection because of expensive and limited medical conditions. In this paper, we present a noncontact and economically viable respiratory rhythm-detection system using S-band sensing technique. The system leverages microwave sensing platform to capture the minute variations caused by breathing. Subsequently, we implement data preprocessing and respiratory rate estimation for acquired wireless data to achieve respiratory rhythm detection. The experimental results not only validate the feasibility of respiratory rhythm detection using S-band sensing technique but also demonstrate that the S-Breath system provides a good performance. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2018.2846605 | IEEE ACCESS |
Keywords | Field | DocType |
Respiratory rhythm detection,S-Band sensing technique,microwave sensing platform (MSP),respiratory rate estimation | Wireless data,Wireless,Computer science,Computer network,Data pre-processing,Respiratory rate,Real-time computing,Rhythm analysis,Breathing,Wireless sensor network,Rhythm | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 2 |
PageRank | References | Authors |
0.39 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dou Fan | 1 | 23 | 3.63 |
| Aifeng Ren | 2 | 23 | 5.55 |
| Nan Zhao | 3 | 20 | 5.51 |
| Xiaodong Yang | 4 | 46 | 13.17 |
| Zhiya Zhang | 5 | 10 | 5.27 |
| Syed Aziz Shah | 6 | 7 | 1.18 |
| Fangming Hu | 7 | 10 | 3.94 |
| Qammer H. Abbasi | 8 | 116 | 37.12 |