Abstract
Noncontact active ultrasound sensors can be used to detect human physiological signals such as respiration and heart rate using Doppler processing. Target motion such as a person swaying can reduce the performance of these algorithms. To mitigate the effect of target motion or respiration on estimating the heart rate, we developed an iterative motion compensation algorithm. We low pass filter the demodulated data, estimate the motion of the target, and then compensate the data for the slow moving motion. This procedure can be repeated at different cutoff frequencies for different scenarios. Now, standard Doppler processing techniques can be used to analyze the motion compensated data. The algorithm was tested on people standing in a laboratory illuminated with a 40-KHz continuous-wave ultrasound sensor. Results for estimating the respiration rate and heart rate will be presented.
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