Name
Abstract | ||
|---|---|---|
Non-contact continuous respiratory monitoring during sleep is of high usability to early disease detection and daily health monitoring. This study introduces a novel microwave sensor prototype for real-time respiration measurement. The antennas of the sensor are placed below the bed sheet, and function by transmitting a series of microwave signals to detect the inhale-exhale body motions while breathing. Compared to other remote wireless monitors, our sensor is less interfered by environmental noises as well as without direct contact with the body. The received I/Q signals are merged into one output and process to detect the frequency of breathing. The performance is evaluated using overnight sleep data and compared with ground-truth data measured by standard PSG airflow sensor. Result achieves high detection rate of 98.88% with mean squared error (MSE) of 1.23 over 420 one-minute recordings. In addition, the sensor is able to detect respiration accurately regardless of a person's sleep position. We demonstrate that our microwave sensor is robust and usable for real-time respiratory monitoring. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/EMBC.2019.8856589 | 2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Field | DocType | Volume |
Computer vision,Sleep apnea,Respiration,Wireless,Computer science,Mean squared error,Real-time computing,Airflow,Respiratory monitoring,Artificial intelligence,Breathing,Temperature measurement | Conference | 2019 |
ISSN | Citations | PageRank |
1557-170X | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying Chen | 1 | 2 | 0.75 |
| Masahiko Kaneko | 2 | 0 | 0.34 |
| Shinichi Hirose | 3 | 0 | 0.34 |
| Wenxi Chen | 4 | 22 | 11.15 |