On CSI-Based Vital Sign Monitoring Using Commodity WiFi

Author:

Wang Xuyu1,Yang Chao2,Mao Shiwen2ORCID

Affiliation:

1. California State University, Sacramento, CA

2. Auburn University, Auburn, AL

Abstract

Vital signs, such as respiration and heartbeat, are useful for health monitoring because such signals provide important clues of medical conditions. Effective solutions are needed to provide contact-free, easy deployment, low-cost, and long-term vital sign monitoring. In this article, we present PhaseBeat to exploit channel state information, in particular, phase difference data to monitor breathing and heart rates with commodity WiFi devices. We provide a rigorous analysis of channel state information phase difference with respect to its stability and periodicity. Based on the analysis, we design and implement the PhaseBeat system with off-the-shelf WiFi devices and conduct an extensive experimental study to validate its performance. Our experimental results demonstrate the superior performance of PhaseBeat over existing approaches in various indoor environments.

Funder

U.S. NSF

Wireless Engineering Research and Education Center (WEREC) at Auburn University

Publisher

Association for Computing Machinery (ACM)

Cited by 62 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multiperson Detection and Vital-Sign Sensing Empowered by Space-Time-Coding Reconfigurable Intelligent Surfaces;IEEE Internet of Things Journal;2024-09-01

2. AirECG: Contactless Electrocardiogram for Cardiac Disease Monitoring via mmWave Sensing and Cross-domain Diffusion Model;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

3. Wireless sensing applications with Wi-Fi Channel State Information, preprocessing techniques, and detection algorithms: A survey;Computer Communications;2024-08

4. ECG-grained Cardiac Monitoring Using RFID;2024 33rd International Conference on Computer Communications and Networks (ICCCN);2024-07-29

5. Respiratory Monitoring Using Millimeter-Wave Base Stations Based on OFDM Signals;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20

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