Non-Contact Heart Rate Estimation in Low SNR Environments Using mmWave Radar

Source Publication

USNC-URSI

Authors

Chandler J. Bauder, University of Tennessee, KnoxvilleFollow
Aly E. Fathy, University of Tennessee, KnoxvilleFollow

Document Type

Data

Publication Date

2022

Abstract

Extracting accurate heart rate estimates of human subjects from a distance in high-noise scenarios using radar is a common problem. Often, frequency components from sources such as movement and vital signs from other subjects can overpower the weak reflected signal of the heart. In this study, we propose a signal processing scheme using a state-of-the-art Adaptive Multi-Trace Carving algorithm (AMTC) to accurately detect the heart rate signal over time in non-ideal scenarios. In our initial proof-of-concept results, we show a low heart rate estimation mean absolute error (MAE) of 3bpm for a single subject marching in place and less than 7.2bpm for a scenario of two human subjects at the same distance from the radar.

Recommended Citation

Bauder, Chandler J. and Fathy, Aly E., "Non-Contact Heart Rate Estimation in Low SNR Environments Using mmWave Radar" (2022). Faculty Publications and Other Works -- EECS.
https://trace.tennessee.edu/utk_elecpubs/25