TY - GEN
T1 - Toward wearable, crowd-sourced air quality monitoring for respiratory disease
AU - Stevenson, Paul E.
AU - Arafa, Hany
AU - Ozev, Sule
AU - Ross, Heather M.
AU - Blain Christen, Jennifer
N1 - Funding Information:
This work is supported in part by NSF IIS-1521904 SCH: INT: "Disposable high sensitivity point of care immunosensor for multiple disease and pathogen detection" and NSF CNS-1739451 "CPS: Medium: Collaborative Research: Constantly on the Lookout: Low-cost Sensor Enabled Explosive Detection to Protect High Density Environments".
Funding Information:
ACKNOWLEDGMENT This work is supported in part by NSF IIS-1521904 SCH: INT: "Disposable high sensitivity point of care immunosen-sor for multiple disease and pathogen detection" and NSF CNS-1739451 "CPS: Medium: Collaborative Research: Constantly on the Lookout: Low-cost Sensor Enabled Explosive Detection to Protect High Density Environments".
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85048495109&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048495109&partnerID=8YFLogxK
U2 - 10.1109/HIC.2017.8227604
DO - 10.1109/HIC.2017.8227604
M3 - Conference contribution
AN - SCOPUS:85048495109
T3 - 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
SP - 140
EP - 143
BT - 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
Y2 - 6 November 2017 through 8 November 2017
ER -