A novel algorithm using multiple FMCW radars outperformed well-known vital signs estimation methods for real-time estimation of heart rate, respiration rate, and apnea detection.
A novel algorithm using multiple FMCW radars improves contactless real-time estimation of heart rate, respiration rate, and apnea detection compared to existing methods.
In this manuscript, the problem of estimating human vital signs through a plurality of single-input multiple-output frequency modulated continuous wave radars is investigated. A novel algorithm for real-time estimation of heart rate and respiration rate, and for apnea detection is developed. It employs a selection combining technique and a filtering method inspired by Bayesian filtering principles. Our experimental results evidence that the proposed algorithm, tested on commercial radar devices, outperforms well known vital signs estimation methods available in the technical literature at the price of a limited increase in computational complexity.
Vignoli et al. (Wed,) conducted a other in Vital signs monitoring. Novel algorithm using multiple FMCW radars vs. Well known vital signs estimation methods was evaluated on Real-time estimation of heart rate, respiration rate, and apnea detection. A novel algorithm using multiple FMCW radars outperformed well-known vital signs estimation methods for real-time estimation of heart rate, respiration rate, and apnea detection.
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