Abstract
Noncontact vital sign monitoring based on radar has attracted great interest in many fields. Heart rate variability(HRV), which measures the fluctuation of heartbeat intervals, has been considered an important indicator for general health evaluation. In this paper, we proposed a new algorithm for HRV monitoring using frequency-modulated-continuous-wave (FMCW) radar. We calculate the acceleration of the reflected signal to enhance the heartbeat and suppress the impact of respiration. Finally, a joint optimization algorithm is used to segment the acceleration signal and the time interval of each heartbeat can be extracted for analyzing HRV. Experimental results over 10 participants show the potential of the proposed algorithm for noncontact HRV estimation with high accuracy. The results indicate the possibility for the algorithm to be employed in emotion recognition, sleep, and heart disease monitoring.
Supported in part by the National Natural Science Foundation of China (NSFC) under Award 52175033 and Award U21A20120, in part by the Zhejiang Provincial Natural Science Foundation under Award LZ20E050002.
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Han, X., Liu, T. (2023). Noncontact Heart Rate Variability Monitoring Based on FMCW Radar. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14268. Springer, Singapore. https://doi.org/10.1007/978-981-99-6486-4_19
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DOI: https://doi.org/10.1007/978-981-99-6486-4_19
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