Toward wearable, crowd-sourced air quality monitoring for respiratory disease

Paul E. Stevenson, Hany Arafa, Sule Ozev, Heather M. Ross, Jennifer Blain Christen

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

3 Scopus citations

Abstract

In this work, we demonstrate the alpha prototype for a wearable air quality sensor system. This system will be used to create precise, high-resolution maps of the environment to help individuals with respiratory disease track their response to pollutants, determine when to pre-medicate, or avoid areas with poor air quality altogether. The data from such a map will provide improved accuracy over the single air quality index value provided for large metropolitan areas. We provide data from continuous monitoring over several locations to demonstrate the difference that can be observed within a small geographic area.

Original languageEnglish (US)
Title of host publication2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-143
Number of pages4
Volume2017-December
ISBN (Electronic)9781538613924
DOIs
StatePublished - Dec 19 2017
Event2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 - Bethesda, United States
Duration: Nov 6 2017Nov 8 2017

Other

Other2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
CountryUnited States
CityBethesda
Period11/6/1711/8/17

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ASJC Scopus subject areas

  • Health Informatics
  • Instrumentation
  • Health(social science)
  • Biomedical Engineering

Cite this

Stevenson, P. E., Arafa, H., Ozev, S., Ross, H. M., & Blain Christen, J. (2017). Toward wearable, crowd-sourced air quality monitoring for respiratory disease. In 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 (Vol. 2017-December, pp. 140-143). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2017.8227604