TY - GEN
T1 - Harmonics-based multiple heartbeat detection at equal distance using UWB impulse radar
AU - Rong, Yu
AU - Bliss, Daniel
N1 - Funding Information:
This work was supported in part by Nokia Corp., Sunnyvale, CA. The views expressed are those of the authors and do not reflect the official policy or position of Nokia Corporation.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/8
Y1 - 2018/6/8
N2 - In this paper, we discuss and demonstrate the possibility of detecting multiple heartbeat of stationary subjects at equal distance away from a single input and single output UWB radar. To that end, we propose a novel concept to extract the heartbeat information from its harmonics to deal with the spurious peaks of respiration signal and intermodulations between respiration and heartbeat signals. We provide a numerical analysis to justify the proposed algorithm. We compare the ability of suppressing the interferencing harmonics between the proposed algorithm and other detection algorithms. Finally, we provide an experimental example and show that accurate heart rates detection from two subjects at equal distance can be achieved using the proposed method by comparing against two types of references: camera based system and chest heart rate sensor.
AB - In this paper, we discuss and demonstrate the possibility of detecting multiple heartbeat of stationary subjects at equal distance away from a single input and single output UWB radar. To that end, we propose a novel concept to extract the heartbeat information from its harmonics to deal with the spurious peaks of respiration signal and intermodulations between respiration and heartbeat signals. We provide a numerical analysis to justify the proposed algorithm. We compare the ability of suppressing the interferencing harmonics between the proposed algorithm and other detection algorithms. Finally, we provide an experimental example and show that accurate heart rates detection from two subjects at equal distance can be achieved using the proposed method by comparing against two types of references: camera based system and chest heart rate sensor.
UR - http://www.scopus.com/inward/record.url?scp=85049951002&partnerID=8YFLogxK
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U2 - 10.1109/RADAR.2018.8378715
DO - 10.1109/RADAR.2018.8378715
M3 - Conference contribution
AN - SCOPUS:85049951002
T3 - 2018 IEEE Radar Conference, RadarConf 2018
SP - 1101
EP - 1105
BT - 2018 IEEE Radar Conference, RadarConf 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE Radar Conference, RadarConf 2018
Y2 - 23 April 2018 through 27 April 2018
ER -