TY - GEN
T1 - Heart Rate Extraction with VMD Algorithm in Non-Stationary Clutter Environment Based on FMCW Radar Systems
AU - Wu, Kuan Ju
AU - Yang, Chin Lung
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/8/25
Y1 - 2021/8/25
N2 - This paper presents a variational mode decomposition (VMD)-based heart rate extraction algorithm to extract heart rate of the target under intermittent interference of non-stationary clutters caused by another person. When nonstationary clutters exist around the interested target, the heart rate detection becomes difficult for FMCW radars. In regard to the situation, VMD is utilized to extract the heartbeat signal and suppress the effect of non-stationary clutters after applying filter preprocessing. This approach is compared to other methods based on ensemble empirical mode decomposition (EEMD) and traditional fast Fourier transform (FFT). As a result, the proposed algorithm can achieve low computational load and high accuracy of heart rate extraction with relative error of 1.7%. The heartbeat signal extracted by the proposed algorithm has signal-to-noise ratio (SNR) improvement of 2.4 dB compared with EEMD algorithm.
AB - This paper presents a variational mode decomposition (VMD)-based heart rate extraction algorithm to extract heart rate of the target under intermittent interference of non-stationary clutters caused by another person. When nonstationary clutters exist around the interested target, the heart rate detection becomes difficult for FMCW radars. In regard to the situation, VMD is utilized to extract the heartbeat signal and suppress the effect of non-stationary clutters after applying filter preprocessing. This approach is compared to other methods based on ensemble empirical mode decomposition (EEMD) and traditional fast Fourier transform (FFT). As a result, the proposed algorithm can achieve low computational load and high accuracy of heart rate extraction with relative error of 1.7%. The heartbeat signal extracted by the proposed algorithm has signal-to-noise ratio (SNR) improvement of 2.4 dB compared with EEMD algorithm.
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U2 - 10.1109/RFIT52905.2021.9565243
DO - 10.1109/RFIT52905.2021.9565243
M3 - Conference contribution
AN - SCOPUS:85118110574
T3 - 2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
BT - 2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
Y2 - 25 August 2021 through 27 August 2021
ER -