基于IEEE 802.11ac/ax协议的wi - fi呼吸监测子载波选择方法

2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC) Pub Date : 2022-05-16 DOI:10.1109/imbioc52515.2022.9790274

Ruilin Wang, Xiaolin Zhou, Bo Wang, Zhi Zheng, Yongxin Guo

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引用次数: 0

摘要

本文提出了一种基于IEEE 802.11ac/ax协议、菲涅耳区域模型和Wi-Fi信道状态信息的呼吸监测系统。提出了一种新的基于信噪比的子载波选择方法，并采用快慢呼吸分类小波变换。结果表明，该算法优于已有的算法。呼吸速率估计的总体准确率约为90.12%，在某些情况下可高达94%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Subcarrier Selection Method for Wi-Fi-based Respiration Monitoring using IEEE 802.11ac/ax Protocols

This paper proposes a new respiration monitoring system based on IEEE 802.11ac/ax protocols, Fresnel zone model and Wi-Fi channel state information. A new subcarrier selection method based on Signal-Noise-Ratio is proposed and Fast/Slow Breath classified wavelet transform is adopted. The results proved the proposed algorithm is better than the prior work. The overall accuracy for respiration rate estimation is about 90.12% and can be up to 94% in some scenarios.

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2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)

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