Heart Rate Estimation Algorithm for Radar Signals Based on Resnet18 and MobileViT

Non-invasive heart rate monitoring technology using millimeter wave radar offers high comfort, high convenience, and wide applicability to different user groups. However, current heart rate monitoring algorithms are likely to be affected by environmental noise, DC offset, and respiratory harmonics, which can compromise result accuracy. To address these issues, this paper proposes a radar signal heart rate estimation algorithm based on Resnet18 and MobileViT. In the phase preprocessing stage, techniques such as phase difference calculation, interpolation smoothing, and wavelet threshold denoising are employed on the phase signal. During the heart rate estimation stage, the Resnet18 and MobileViT networks are utilized to process the phase signal. Experimental analysis indicate improved heart rate estimation accuracy with the proposed method..

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864949
Citations
1
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.18

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Heart Rate Estimation Algorithm for Radar Signals Based on Resnet18 and MobileViT

Jian Guo, Zheyu Wang, Hongfei Liu, Shilin Zhang et al.
1 citations
Non-Invasive Vital Sign Monitoring
0.18
article

Heart Rate Estimation Algorithm for Radar Signals Based on Resnet18 and MobileViT

Jian Guo, Zheyu Wang, Hongfei Liu, Shilin Zhang, Xianting Xie
article en
1 citations

Abstract

Non-invasive heart rate monitoring technology using millimeter wave radar offers high comfort, high convenience, and wide applicability to different user groups. However, current heart rate monitoring algorithms are likely to be affected by environmental noise, DC offset, and respiratory harmonics, which can compromise result accuracy. To address these issues, this paper proposes a radar signal heart rate estimation algorithm based on Resnet18 and MobileViT. In the phase preprocessing stage, techniques such as phase difference calculation, interpolation smoothing, and wavelet threshold denoising are employed on the phase signal. During the heart rate estimation stage, the Resnet18 and MobileViT networks are utilized to process the phase signal. Experimental analysis indicate improved heart rate estimation accuracy with the proposed method..

Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 49%
Non-Invasive Vital Sign Monitoring
0.18
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Heart Rate Estimation Algorithm for Radar Signals Based on Resnet18 and MobileViT — Jian Guo, Zheyu Wang, et al. · (2024) | TGRS Research Map | TGRS