Why the study?
Time-varying dc offset and I/Q imbalance degrade the SNR of Doppler heartbeat diagram signals, challenging linear demodulation in noncontact bioradar cardiopulmonary monitoring.
An FFT-based algorithm significantly improves the signal-to-noise ratio of bioradar-derived Doppler heartbeat diagrams, enabling more accurate noncontact cardiopulmonary monitoring.
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May improve DCD signal fidelity in bioradar; leaves open clinical validation for noncontact cardiopulmonary monitoring.
The challenge of noncontact presentation of human cardiopulmonary activity using a bioradar sensor is to linearly demodulate the Doppler cardiopulmonary diagram (DCD) signal from baseband signals. Arctangent demodulation can perform linear phase demodulation to obtain the DCD signal. However, the high-order harmonics and intermodulation terms (ITs) caused by the time-varying direct current (dc) offset and in-phase and quadrature-phase (I/Q) imbalance in the baseband signals significantly degrade the signal-to-noise ratio (SNR) of the Doppler heartbeat diagram (DHD) signal. In this work, a fast Fourier transform (FFT)-based algorithm is proposed to simultaneously perform time-varying dc offset compensation and I/Q imbalance correction without the need for an auxiliary device to improve the accuracy of the arctangent demodulation. The obtained results show that the SNRs of the algorithm-processed DHD signals are increased from 30.08±2.41 to 68.88±10.57 dB. In addition, the root mean square errors (RMSEs) of the C-C intervals of the DHD signals for eight subjects with respect to the J-J intervals of the ballistocardiogram (BCG) signals are 17.79±2.72 ms (2.80%±0.43%), suggesting a promising potential of the DHD signal for noncontact biomedical applications.
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Tian et al. (2023) studied this question.
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