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, Qammer H. Abbasi, Syed Aziz Shah

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-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%.
Original languageEnglish
Title of host publication2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
PublisherIEEE
Pages136-141
Number of pages6
ISBN (Electronic)9781665409735
DOIs
Publication statusPublished - May 2022
Event2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH) - Riyadh, Saudi Arabia
Duration: 9 May 202211 May 2022

Publication series

Name2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
PublisherIEEE

Conference

Conference2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
Abbreviated titleSMARTTECH
Country/TerritorySaudi Arabia
CityRiyadh
Period9/05/2211/05/22

Bibliographical note

Funding Information:
This work was supported in parts by Engineering and Physical Sciences Research Council (EPSRC) grants: EP/T021020/1 and EP/T021063/1.

Publisher Copyright:
© 2022 IEEE.

Keywords

  • COVID-19
  • Wireless communication
  • Wireless sensor networks
  • Time-frequency analysis
  • Sensors
  • Ultra wideband radar ,
  • Spectrogram
  • XeThru X4M200
  • UWB radar sensor
  • ResNet
  • wireless healthcare
  • deep learning

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