Project Title: A personal exposure and response monitoring system for pediatric asthma study Summary: This project will focus on creating a button-sized wearable sensor for monitoring personal exposure to both chemicals and particulate matter. This unprecedented capability will pair with physiological signal monitors to provide both environmental exposure and physiological response data. The data communication of the device will be designed such that it can be plugged into a smartphone or cloud computing data management system for easy access and analysis of the data by epidemiologists. Such a system will have an impact on the epidemiological study of the pollution exposure-response relationship, and eventually the prevention of pediatric asthma. The project will provide a wearable exposure sensor to address the challenges proposed by RFA-EB- 15-002, Pediatric Research using Integrated Sensor Monitoring Systems (PRISMS): Sensor Development Projects for Asthma (U01). The sensor will be designed to pair with other physiological signal monitors, and plug into other data management system developed by PRISMS. The specific objectives of the project are to: 1) Develop a button-sized sensor that can monitor indoor and outdoor exposure of a child 24 hours a day. The initial target analytes include important potential asthma triggers, such as particulate matter, nitrogen dioxide, ozone, and formaldehyde, as well as temperature and humidity, but the sensor platform is expandable to allow inclusion of more analytes in the future. The sensor also includes an accelerometer chip to track whether the subjects actually wear the sensor as intended. 2) Pair the button-sized personal exposure sensor with physiological signal monitors and develop seamless data communication with an Asthma Study App, and 3) validate the entire system via a small-scale pilot study. The project will bring together strengths in chemical sensors, particulate matter detectors, epidemiology, and digital health from different groups. In order to create a long-lasting impact and benefit for the large environmental health study community and end users, the team will also work with industry collaborators to prepare for commercialization. The team has made substantial progress towards the goal, developed several prototype devices and tested the devices. This supplement will allow us to build five additional devices for the U54 team of the PRISMS program to evaluate data integration of our devices with their data center and to examine the usability of the devices under real world complex settings.

Public Health Relevance

A button-sized wireless device that can monitor environmental exposure, including both chemicals and particulate matter, and pair with physiological signal monitors will be developed, tested, and validated for pediatric asthma study.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project--Cooperative Agreements (U01)
Project #
3U01EB021980-01S1
Application #
9693397
Study Section
Program Officer
Selimovic, Seila
Project Start
2018-09-30
Project End
2019-09-29
Budget Start
2018-09-30
Budget End
2019-09-29
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Arizona State University-Tempe Campus
Department
Miscellaneous
Type
Organized Research Units
DUNS #
943360412
City
Tempe
State
AZ
Country
United States
Zip Code
85287
Lin, Chenwen; Zhu, Ying; Yu, Jingjing et al. (2018) Gradient-Based Colorimetric Sensors for Continuous Gas Monitoring. Anal Chem 90:5375-5380
Du, Zijian; Tsow, Francis; Wang, Di et al. (2018) A Miniaturized Particulate Matter Sensing Platform based on CMOS imager and Real Time Image Processing. IEEE Sens J 18:7421-7428
Du, Zijian; Tsow, Francis; Wang, Di et al. (2018) Real-time Simutaneous Separation and Detection of Chemicals using Integrated Micro Column and Surface Plasmon Resonance Imaging Micro-GC. IEEE Sens J 18:1351-1357
Shao, Dangdang; Tsow, Francis; Liu, Chenbin et al. (2017) Simultaneous Monitoring of Ballistocardiogram and Photoplethysmogram Using a Camera. IEEE Trans Biomed Eng 64:1003-1010
Yang, Yuting; Liu, Chenbin; Yu, Hui et al. (2016) Motion robust remote photoplethysmography in CIELab color space. J Biomed Opt 21:117001