Abstract
This paper treats the problem of non-contact vital signs (VSs) estimation using ultra wideband (UWB) impulse radar. Specifically, we focus on the simultaneous estimation of respiration and heart rates, by adapting high resolution subspace methods (namely, root-MUSIC and ESPRIT) in order to obtain an accurate estimation of the chest velocity produced by VS motions. As a by product, we overcome the nuisance effect of the noise, the clutter, and the body motion. Then, we propose the use of an iterative notch filter (INF) to clean up the respiratory signal and its harmonics with the intention of estimating the heart rate in an accurate manner. The performance of the proposed method is analyzed in different scenarios, with simulated data, human VS activities, and mechanical vibrating structure using a PulsON 440 (P440) module. Finally, numerical simulations and experimental results reveal that the proposed method outperforms the state-of-the-art.
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