Name
Abstract | ||
|---|---|---|
Human pulmonary function declines with age. Elders, especially those with lung or cardiovascular diseases, yearn for daily lung function tests for timely diagnosis and treatment. However, current clinical spirometers are cumbersome and ex-pensive while home-use portable ones’ accuracy is questionable. Moreover, both kinds require contact measurements and could cause cross infection, especially hazardous for contagious diseases like COVID-19. To this end, we propose SpiroFi, a contactless system that leverages WiFi Channel State Information (CSI) for convenient yet accurate Pulmonary Function Testing (PFT) out of clinic. The key enabler underlying SpiroFi is a set of algorithms that can extract chest wall movement from WiFi signal variations and interpret such information into lung function indices. We have realized SpiroFi on low-cost commodity WiFi devices and tested it in a home-like site where it achieves 2.55% monitoring error over healthy youths. Then, with the Ethics Committee (EC) approval, we conducted a 2-month clinic study in a city hospital over elders with basic diseases. SprioFi still yields 6.05% monitoring error despite elders’ degenerated pulmonary function and body control. Also, the correlation between lung function and age as well as chronic diseases has been revealed, highlighting the importance of daily PFT for the elderly. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/IWQoS54832.2022.9812913 | 2022 IEEE/ACM 30th International Symposium on Quality of Service (IWQoS) |
Keywords | DocType | ISSN |
chest wall movement,WiFi signal variations,home-like site,elders,chronic diseases,daily PFT,human pulmonary function,cardiovascular diseases,daily lung function tests,COVID-19,WiFi channel state information,SpiroFi method,contactless pulmonary function monitoring,clinical spirometers,pulmonary function testing | Conference | 1548-615X |
ISBN | Citations | PageRank |
978-1-6654-6825-1 | 0 | 0.34 |
References | Authors | |
12 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guizhen Yu | 1 | 49 | 11.52 |
| May D. Wang | 2 | 355 | 66.20 |
| Zheng Zhang | 3 | 0 | 4.39 |
| Yongtian Wang | 4 | 456 | 73.00 |
| Hao Zhou | 5 | 59 | 10.90 |
| Yusheng Ji | 6 | 1459 | 162.16 |
| Joseph Wu | 7 | 5 | 1.41 |