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UWB radar sensing for respiratory monitoring exploiting time- frequency spectrograms

  • Syed Salman Badshah
    ,
  • Umer Saeed
    ,
  • Asadullah Momand
    ,
  • Syed Yaseen Shah
    ,
  • Syed Ikram Shah
    ,
  • Ahmad Jawad
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

Regarding the health-related applications in infectious respiratory/breathing diseases including COVID-19, wireless (or non-invasive) technology plays a vital role in the monitoring of breathing abnormalities. Wireless techniques are particularly important during the COVID-19 pandemic since they require the minimum level of interaction between infected individuals and medical staff. Based on recent medical research studies, COVID-19 infected individuals with the novel COVID-19-Delta variant went through rapid respiratory rate due to widespread disease in the lungs. These unpleasant circumstances necessitate instantaneous monitoring of respiratory patterns. The XeThru X4M200 ultra-wideband radar sensor is used in this study to extract vital breathing patterns. This radar sensor functions in the high and low-frequency ranges (6.0-8.5 GHz and 7.25-10.20 GHz). By performing eupnea (regular/normal) and tachypnea (irregular/rapid) breathing patterns, the data were acquired from healthy subjects in the form of spectrograms. A cutting-edge deep learning algorithm known as Residual Neural Network (ResNet) is utilised to train, validate, and test the acquired spectrograms. The confusion matrix, precision, recall, F1-score, and accuracy are exploited to evaluate the ResNet model's performance. ResNet's unique skip-connection technique minimises the underfitting/overfitting problem, providing an accuracy rate of up to 97.5%.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 136-141 (6 pages)

Publication milestones

  • Accepted/In press - 01/05/2022
  • Published - 04/08/2022

Publication status

Published - 04/08/2022

Publisher

Institute of Electrical and Electronics Engineers Inc., United States

Publication series

  • Publication series name: Proceedings - 2022 2nd International Conference of Smart Systems and Emerging Technologies, SMARTTECH 2022

ISBN (Print)

9781665409742

ISBN (Electronic)

9781665409735

External Publication IDs

  • ORCID: /0000-0001-7666-838X/work/118495849
  • Scopus: 85136813103

Host publication title

Proceedings - 2022 2nd International Conference of Smart Systems and Emerging Technologies, SMARTTECH 2022

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