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 Citations (Scopus)

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

Fingerprint

respiratory diseases
Pulmonary diseases
air quality
Air quality
Air
air
monitoring
Disease
Monitoring
pollutant
contaminants
agglomeration area
prototypes
high resolution
sensors
Sensors

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

Toward wearable, crowd-sourced air quality monitoring for respiratory disease. / Stevenson, Paul E.; Arafa, Hany; Ozev, Sule; Ross, Heather M.; Blain Christen, Jennifer.

2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017. Vol. 2017-December Institute of Electrical and Electronics Engineers Inc., 2017. p. 140-143.

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

Stevenson, PE, Arafa, H, Ozev, S, Ross, HM & 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, Institute of Electrical and Electronics Engineers Inc., pp. 140-143, 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017, Bethesda, United States, 11/6/17. https://doi.org/10.1109/HIC.2017.8227604
Stevenson PE, Arafa H, Ozev S, Ross HM, Blain Christen J. 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. Institute of Electrical and Electronics Engineers Inc. 2017. p. 140-143 https://doi.org/10.1109/HIC.2017.8227604
Stevenson, Paul E. ; Arafa, Hany ; Ozev, Sule ; Ross, Heather M. ; Blain Christen, Jennifer. / Toward wearable, crowd-sourced air quality monitoring for respiratory disease. 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017. Vol. 2017-December Institute of Electrical and Electronics Engineers Inc., 2017. pp. 140-143
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