TY - GEN
T1 - UWB radar cardiac activity sensing
T2 - 2020 IEEE International Radar Conference, RADAR 2020
AU - Srinivas, Sharanya
AU - Rong, Yu
AU - Bliss, Daniel W.
N1 - Publisher Copyright:
© 2020 IEEE
PY - 2020/4
Y1 - 2020/4
N2 - Ultra Wide Band (UWB) radars are effective in detecting subtle fluctuations of illuminated target. This attribute makes them attractive for uncovering respiration and circulation patterns from chest movements. Despite the acute range resolution offered by Doppler radars, contribution by cardiovascular pumping is quite feeble and is overshadowed by breathing. It is observed that, when chest movements were monitored using UWB pulse Doppler radars, cardiac motion is buried at least 30 dB under first harmonic of respiration. In this paper, we propose and investigate novel Arctangent demodulation method for direct-RF receivers. The proposed method offers an improvement of signal-to-noise ratio by 8-15 dB of cardiopulmonary motion signal when compared to existing algorithms. In addition, it enables adaptive suppression of respiratory artifacts using trend filtering which vastly enhances robustness in real-time non-invasive heart rate monitoring applications.
AB - Ultra Wide Band (UWB) radars are effective in detecting subtle fluctuations of illuminated target. This attribute makes them attractive for uncovering respiration and circulation patterns from chest movements. Despite the acute range resolution offered by Doppler radars, contribution by cardiovascular pumping is quite feeble and is overshadowed by breathing. It is observed that, when chest movements were monitored using UWB pulse Doppler radars, cardiac motion is buried at least 30 dB under first harmonic of respiration. In this paper, we propose and investigate novel Arctangent demodulation method for direct-RF receivers. The proposed method offers an improvement of signal-to-noise ratio by 8-15 dB of cardiopulmonary motion signal when compared to existing algorithms. In addition, it enables adaptive suppression of respiratory artifacts using trend filtering which vastly enhances robustness in real-time non-invasive heart rate monitoring applications.
KW - Arctangent demodulation
KW - Non-invasive vital sign detection
KW - Twice Differential Arctangent Demodulation (TDAT)
UR - http://www.scopus.com/inward/record.url?scp=85090326896&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85090326896&partnerID=8YFLogxK
U2 - 10.1109/RADAR42522.2020.9114774
DO - 10.1109/RADAR42522.2020.9114774
M3 - Conference contribution
AN - SCOPUS:85090326896
T3 - 2020 IEEE International Radar Conference, RADAR 2020
SP - 984
EP - 989
BT - 2020 IEEE International Radar Conference, RADAR 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 April 2020 through 30 April 2020
ER -