Respiration symptoms monitoring in body area networks

Lu Liu , Syed Shah, Guoqing Zhao , Xiaodong Yang

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)
8 Downloads (Pure)


This work presents a framework that monitors particular symptoms such as respiratory conditions (abnormal breathing pattern) experienced by hyperthyreosis, sleep apnea, and sudden infant death syndrome (SIDS) patients. The proposed framework detects and monitors respiratory condition using S-Band sensing technique that leverages the wireless devices such as antenna, card, omni-directional antenna operating in 2 GHz to 4 GHz frequency range, and wireless channel information extraction tool. The rhythmic patterns extracted using S-Band sensing present the periodic and non-periodic waveforms that correspond to normal and abnormal respiratory conditions, respectively. The fine-grained amplitude information obtained using aforementioned devices is used to examine the breathing pattern over a period of time and accurately identifies the particular condition.
Original languageEnglish
Article number568
Number of pages11
JournalApplied Sciences (Switzerland)
Issue number4
Publication statusPublished - 6 Apr 2018
Externally publishedYes

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


  • S-Band sensing
  • wireless channel information
  • hyperthyreosis/sleep apnea disease monitoring


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