Why the study?
Millimeter wave radars for remote vital sign monitoring face electromagnetic propagation loss, signal obstructions, and sensitivity to body motions, which reduce signal-to-noise ratio and degrade heart rate detection accuracy.
Advanced signal processing techniques applied to 77 GHz FMCW MIMO radar can improve the accuracy of remote, non-contact heart rate monitoring.
Extends radar-based noncontact HR monitoring options; leaves open clinical validation and utility.
Remote non-contact monitoring of human vital signs has recently received lots of attention due to the advancement and availability of millimeter wave (mmWave) radars. These sensors are significantly reduced in size, but still face serious electromagnetic (EM) propagation loss and signal obstructions resulting in lower signal-to-noise ratios (SNR). As mmWave received signals also have higher sensitivity to body motions, these effects typically degrade the accuracy of heart rate (HR) detection. To overcome this challenge, MIMO configuration can be used to improve the SNR level by taking advantage of its channel diversity. We use here a Frequency Modulated Continuous Wave (FMCW) radar from Texas Instruments (TI) at 77 GHz to collect data from 192 channels. Additionally, vital sign information is extracted using Arctangent Demodulation (AD) and Maximal Ratio Combining (MRC) combined with an adapted-wavelet Continuous Wavelet Transform (CWT) are utilized to demonstrate improvement of HR estimation accuracy.
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Dai et al. (2021) studied this question.
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