Abstract
On-Body Continuous Wave Radar (CWR) systems can be used to monitor cardiac activities. This paper presents a signal processing method based on the wavelet transform to remove the noise components of the time and frequency domains of CWR signals obtained from an on-body radar system in order to derive heart rate more accurately. The proposed method is evaluated with CWR signals recorded from the human body in two different postural and exercise activities. The accuracy and precision of the suggested method are evaluated by comparing the heart rate derived from a reference Electrocardiogram (ECG) signal.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE SENSORS Proceedings |
| Editors | Rudra Pratap, Ravinder Dahiya |
| Place of Publication | Piscataway NJ USA |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 1079-1082 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538647073 |
| ISBN (Print) | 9781538647080 |
| DOIs | |
| Publication status | Published - 27 Dec 2018 |
| Event | IEEE Conference on Sensors 2018 - New Delhi, India Duration: 28 Oct 2018 → 31 Oct 2018 Conference number: 17th http://ieee-sensors2018.org/ https://ieeexplore.ieee.org/xpl/conhome/8572682/proceeding (Proceedings) |
Conference
| Conference | IEEE Conference on Sensors 2018 |
|---|---|
| Abbreviated title | SENSORS 2018 |
| Country/Territory | India |
| City | New Delhi |
| Period | 28/10/18 → 31/10/18 |
| Internet address |
Keywords
- Continuous Wave Radar
- Heart Rate
- Wavelet