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This content will become publicly available on July 11, 2023

Title: Heart rate detection using single-channel Doppler radar system
A number of algorithms have been developed to extract heart rate from physiological motion data using Doppler radar system. Yet, it is very challenging to eliminate noise associated with surroundings, especially with a single-channel Doppler radar system. However, single-channel Doppler radars provide the advantage of operating at lower power. Additionally, heart rate extraction using single-channel Doppler radar has remained somewhat unexplored. This has motivated the development of effective signal processing algorithms for signals received from single-channel Doppler radars. Three algorithms have been studied for estimating heart rate. The first algorithm is based on applying FFT on an FIR filtered signal. In the second algorithm, autocorrelation was performed on the filtered data. Thirdly, a peak finding algorithm was used in conjunction with a moving average preceded by a clipper to determine the heart rate. The results obtained were compared with heart rate readings from a pulse oximeter. With a mean difference of 2.6 bpm, the heart rate from Doppler radar matched that from the pulse oximeter most frequently when the peak finding algorithm was used. The results obtained using autocorrelation and peak finding algorithm (with standard deviations of 2.6 bpm and 4.0 bpm) suggest that a single channel Doppler radar system more » can be a viable alternative to contact heart rate monitors in patients for whom contact measurements are not feasible. « less
Authors:
; ;
Award ID(s):
2039089
Publication Date:
NSF-PAR ID:
10357255
Journal Name:
Heart rate detection using single-channel Doppler radar system
Page Range or eLocation-ID:
1953 to 1956
Sponsoring Org:
National Science Foundation
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