Continuous and fine-grained breathing volume monitoring from afar using wireless signals

Phuc Nguyen, Xinyu Zhang, Ann Halbower, Tam Vu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work, we propose for the first time an autonomous system, called WiSpiro, that continuously monitors a person's breathing volume with high resolution during sleep from afar. WiSpiro relies on a phase-motion demodulation algorithm that reconstructs minute chest and abdominal movements by analyzing the subtle phase changes that the movements cause to the continuous wave signal sent by a 2.4 GHz directional radio. These movements are mapped to breathing volume, where the mapping relationship is obtained via a short training process. To cope with body movement, the system tracks the large-scale movements and posture changes of the person, and moves its transmitting antenna accordingly to a proper location in order to maintain its beam to specific areas on the frontal part of the person's body. It also incorporates interpolation mechanisms to account for possible inaccuracy of our posture detection technique and the minor movement of the person's body. We have built WiSpiro prototype, and demonstrated through a user study that it can accurately and continuously monitor user's breathing volume with a median accuracy from 90% to 95.4% (or 0.0581 to 0.111 of error) to even in the presence of body movement. The monitoring granularity and accuracy are sufficiently high to be useful for diagnosis by clinical doctor.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2016-July
ISBN (Electronic)9781467399531
DOIs
Publication statusPublished - Jul 27 2016
Externally publishedYes
Event35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - San Francisco, United States
Duration: Apr 10 2016Apr 14 2016

Other

Other35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
CountryUnited States
CitySan Francisco
Period4/10/164/14/16

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ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

Cite this

Nguyen, P., Zhang, X., Halbower, A., & Vu, T. (2016). Continuous and fine-grained breathing volume monitoring from afar using wireless signals. In IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications (Vol. 2016-July). [7524402] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFOCOM.2016.7524402