Real-Time RF Sensing for the Early Identification and Management of Respiratory Health

Real-time Radio Frequency (RF) sensing offers a promising approach for early identification and management of respiratory health. As a non-invasive method, RF sensing uses electromagnetic wave propagation to monitor respiratory patterns without direct contact, providing continuous and real-time data. Utilizing software-defined radio (SDR) technology, we enhance patient comfort and privacy while reducing healthcare facility burdens. This study develops an SDR-based RF sensing system to capture and analyze respiratory activity for early detection of issues such as whooping cough. The system effectively distinguishes between breathing patterns during coughing fits (up to 25 breaths per 30 seconds) and between coughing fits (15-20 breaths per 30 seconds), demonstrating its potential for broad healthcare applications.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10881536
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
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article

Real-Time RF Sensing for the Early Identification and Management of Respiratory Health

Malik Muhammad Arslan, Saeed Ur Rahman, Xiaodong Yang, Muneeb Ullah et al.
Respiratory viral infections research
article

Real-Time RF Sensing for the Early Identification and Management of Respiratory Health

Malik Muhammad Arslan, Saeed Ur Rahman, Xiaodong Yang, Muneeb Ullah, Abbas Ali Shah
article en

Abstract

Real-time Radio Frequency (RF) sensing offers a promising approach for early identification and management of respiratory health. As a non-invasive method, RF sensing uses electromagnetic wave propagation to monitor respiratory patterns without direct contact, providing continuous and real-time data. Utilizing software-defined radio (SDR) technology, we enhance patient comfort and privacy while reducing healthcare facility burdens. This study develops an SDR-based RF sensing system to capture and analyze respiratory activity for early detection of issues such as whooping cough. The system effectively distinguishes between breathing patterns during coughing fits (up to 25 breaths per 30 seconds) and between coughing fits (15-20 breaths per 30 seconds), demonstrating its potential for broad healthcare applications.

Xidian University (CN)
Zero hunger
Openalex Percentile: Top 62%
Respiratory viral infections research
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