基于Wi-Fi CSI信号的非接触式心率监测方法

Non-Contact Heart Rate Monitoring Method Based on Wi-Fi CSI Signal.

作者信息

Sun Juncong, Bian Xin, Li Mingqi

机构信息

Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

School of Information Science and Technology, Shanghaitech University, Shanghai 201210, China.

出版信息

Sensors (Basel). 2024 Mar 26;24(7):2111. doi: 10.3390/s24072111.

DOI:10.3390/s24072111

PMID:38610322

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11013971/

Abstract

This paper introduces an innovative non-contact heart rate monitoring method based on Wi-Fi Channel State Information (CSI). This approach integrates both amplitude and phase information of the CSI signal through rotational projection, aiming to optimize the accuracy of heart rate estimation in home environments. We develop a frequency domain subcarrier selection algorithm based on Heartbeat to subcomponent ratio (HSR) and design a complete set of signal filtering and subcarrier selection processes to further enhance the accuracy of heart rate estimation. Heart rate estimation is conducted by combining the peak frequencies of multiple subcarriers. Extensive experimental validations demonstrate that our method exhibits exceptional performance under various environmental conditions. The experimental results show that our subcarrier selection method for heart rate estimation achieves an average accuracy of 96.8%, with a median error of only 0.8 bpm, representing an approximately 20% performance improvement over existing technologies.

摘要

本文介绍了一种基于Wi-Fi信道状态信息（CSI）的创新型非接触式心率监测方法。该方法通过旋转投影整合CSI信号的幅度和相位信息，旨在优化家庭环境中心率估计的准确性。我们开发了一种基于心跳与子分量比（HSR）的频域子载波选择算法，并设计了一套完整的信号滤波和子载波选择流程，以进一步提高心率估计的准确性。通过组合多个子载波的峰值频率来进行心率估计。大量的实验验证表明，我们的方法在各种环境条件下都表现出卓越的性能。实验结果表明，我们用于心率估计的子载波选择方法平均准确率达到96.8%，中位数误差仅为0.8 bpm，比现有技术性能提高了约20%。