Why the study?
Noncontact biosignal monitoring using Doppler radar sensors is often compromised because detections are easily affected by interference, strong noise, or slight body movements.
A novel algorithm improves the robustness of Doppler radar sensors for noncontact heartbeat monitoring by suppressing movement interference.
May enhance motion-robust radar biosensing; leaves open clinical validation before practice use.
It is a hot topic to utilize the Doppler radar sensor in noncontact biosignal monitoring nowadays. Unfortunately, most detections are easily affected by interference or strong noise. Even slight body movements can cause serious demodulation distortion. In this paper, we proposed a novel algorithm to solve the sudden and unexpected interference. Firstly, the one-dimensional signal detected by the sensor is divided into segments to form a two-dimensional data matrix. In both the intrasegment and intersegment domains of the data matrix, a robust algorithm is employed to suppress unwanted interference, which significantly improves the robustness of demodulation. Experiments show the effectiveness of the proposed algorithm, based on which weak heartbeat signal hidden in the interference can be well extracted.
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Min et al. (2021) studied this question.
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