Real-time visual respiration tracking with radar sensors

Shaozhang Dai, Weiqiao Han, Malikeh P. Ebrahim, Mehmet R. Yuce

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Wireless detection of respiration rate (RR) plays a significant role in many healthcare applications. Most of the solutions provide simple waveforms and display the number of estimated RR. In this paper, a visualiser’s approach for the wireless respiration tracking with commercial radar sensor, Walabot, is proposed. Walabot provides a real-time 2D heatmap from the reflected signals, and an abstract graph is extracted from the heatmap to represent the respiratory motion intuitively. Since monitored objects’ movements may cause inaccurate measurements, two optimisation algorithms are developed to enhance accuracy. A respiration waveform is then obtained, and the average RR is calculated. The data is collected for different scenarios of breathing speed, including normal, hold, and deep. The computed RR accuracy is compared with the manually counted RR during the data collection as a reference. Overall, the calculated RR has high average accuracy, and the performance of the visualiser is precise and consistent. This solution also has the potential to monitor respirations for multiple subjects or in a through-wall situation.

Original languageEnglish
Title of host publicationBody Area Networks, Smart IoT and Big Data for Intelligent Health Management
Subtitle of host publication16th EAI International Conference, BODYNETS 2021 Virtual Event, October 25–26, 2021 Proceedings
EditorsMasood Ur Rehman, Ahmed Zoha
Place of PublicationCham Switzerland
PublisherSpringer
Pages158-167
Number of pages10
ISBN (Electronic)9783030955939
ISBN (Print)9783030955922
DOIs
Publication statusPublished - 2022
EventInternational Conference on Body Area Networks 2021 - Online, United States of America
Duration: 25 Dec 202126 Dec 2021
Conference number: 16th
https://link.springer.com/book/10.1007/978-3-030-95593-9 (Proceedings)

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume420 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

ConferenceInternational Conference on Body Area Networks 2021
Abbreviated titleBODYNETS 2021
Country/TerritoryUnited States of America
Period25/12/2126/12/21
Internet address

Keywords

  • Data visualization
  • Respiration rate
  • Wireless monitoring

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