Breathing rhythm analysis in body centric networks

Dou Fan, Aifeng Ren, Nan Zhao, Xiaodong Yang, Zhiya Zhang, Syed Shah, Fangming Hu, Qammer H. Abbasi

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Respiratory rhythm is the marker of respiratory diseases. A compromised respiratory system can be life threatening and potentially cause damage to other organs and tissues. However, most people do not realize the importance of respiratory rhythm detection because of expensive and limited medical conditions. In this paper, we present a noncontact and economically viable respiratory rhythm-detection system using S-band sensing technique. The system leverages microwave sensing platform to capture the minute variations caused by breathing. Subsequently, we implement data preprocessing and respiratory rate estimation for acquired wireless data to achieve respiratory rhythm detection. The experimental results not only validate the feasibility of respiratory rhythm detection using S-band sensing technique but also demonstrate that the S-Breath system provides a good performance.
Original languageEnglish
Pages (from-to)32507 - 32513
Number of pages7
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 12 Jun 2018
Externally publishedYes

Bibliographical note

Open access

Keywords

  • Respiratory rhythm detection
  • S-Band sensing technique
  • microwave sensing platform (MSP)
  • respiratory rate estimation

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  • Cite this

    Fan, D., Ren, A., Zhao, N., Yang, X., Zhang, Z., Shah, S., ... Abbasi, Q. H. (2018). Breathing rhythm analysis in body centric networks. IEEE Access, 6, 32507 - 32513. https://doi.org/10.1109/ACCESS.2018.2846605