A novel noncontact cardiac parameter estimation method using radar acoustics to derive pulse templates from heart sounds improved remote cardiac sensing performance in human validation experiments.
Does radar acoustics improve noncontact heart rate detection and variability analysis compared to conventional radar methods?
Radar acoustics provides a novel, noncontact method for accurate heart rate and variability estimation, overcoming respiration interference issues common in conventional radar-based methods.
Novel use of radar acoustics for noncontact cardiac parameter estimation is presented as a potentially invaluable addition to wireless sensor networks in Healthcare IoT. Here, radar acoustics refers to the radar captured high-frequency mechanical motion, beyond 20 Hz, on the skin surface induced by heart sound (HS) acoustic waves. Conventional radar-based heart rate (HR) detection methods rely on detecting the heartbeat motion, around 1 Hz, while the unaddressed respiration motion coupling issue prevents consistent heartbeat estimation accuracy in the presence of stronger respiration interference, below 1 Hz. Another issue common to prior methods is the nonadaptive spectral filter design for separating heartbeat signal. As a consequence, these methods cannot be generalized to measurement spaces with high heartbeat variability as demonstrated in this study. To effectively address these limitations, a new HR detection method using radar is proposed to derive a high-fidelity pulse template from the smoothed envelogram of HS measurements. What is more, the feasibility study of radar HS-based HR variability analysis is performed, in which inter-beat-internal is derived from the first and second HS signatures. To that end, automatic identification of HS signatures and signal denoising techniques are developed accordingly. Multiple validation experiments are conducted on human subjects. Our results imply that the new methodology effectively improves remote cardiac sensing performance using the radar technology and presents an exciting opportunity to expand Healthcare IoT, improving patient experiences and outcomes.
Rong et al. (Wed,) conducted a other in Heart rate detection. Radar acoustics vs. Conventional radar-based methods was evaluated on Heart rate and heart rate variability estimation. A novel noncontact cardiac parameter estimation method using radar acoustics to derive pulse templates from heart sounds improved remote cardiac sensing performance in human validation experiments.
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