Key result
This paper provides an extended review of implemented methods for random motion detection and compensation in continuous wave bio-radar systems.
Why the study?
During long-term monitoring with bio-radar systems, patient immobilization cannot be guaranteed, causing random motion and clutter to interfere with vital signal acquisition.
This review summarizes signal processing algorithms for detecting and mitigating random motion artifacts in continuous wave bio-radar systems used for vital sign monitoring.
May inform motion-robust bio-radar design; leaves open clinical validation needs.
The bio-radar system can measure vital signals accurately, by using the Doppler effect principle, which relates the received signal properties to the distance change between the radar antennas and the subject chest-wall. These systems have countless applications, from short range detection to assist in rescue missions, to long-term applications as for the continuous sleeping monitoring. Once the main applications of these systems intend to monitor subjects during long periods of time and under noisy environments, it is impossible to guarantee the patient immobilization, hence its random motion, as well as other clutter sources, will interfere in the acquired signals. Therefore, the signal processing algorithms developed for these applications have been facing several challenges regarding the random motion detection and mitigation. In this paper, an extended review on the already implemented methods is done, considering continuous wave radars. Several sources of random motion are considered, along with different approaches to compensate the distortions caused by them.
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Gouveia et al. (2019) conducted a review in Vital signals monitoring. Methods for random motion detection and compensation was evaluated. This paper provides an extended review of implemented methods for random motion detection and compensation in continuous wave bio-radar systems.
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