Synchronizing Geospatial Information for Personalized Health Monitoring
This work addresses the lack of accessible methods for individuals to monitor their pollution exposure, particularly during exercise, though it appears incremental by combining existing data sources.
The paper tackles the problem of tracking personal exposure to air pollution during outdoor exercise by synchronizing location-tracked activities with public pollution sensor data, and it achieves improved accuracy by incorporating heart rate data to estimate breathing volume.
The health effects of air pollution have been subject to intense study in recent decades. Exposure to pollutants such as airborne particulate matter and ozone has been associated with increases in morbidity and mortality, especially with regards to respiratory and cardiovascular diseases. Unfortunately, individuals do not have readily accessible methods by which to track their exposure to pollution. This paper proposes how pollution parameters like CO, NO2, O3, PM2.5, PM10 and SO2 can be monitored for respiratory and cardiovascular personalized health during outdoor exercise events. Using location tracked activities, we synchronize them to public data sets of pollution sensors. For improved accuracy in estimation, we use heart rate data to understand breathing volume mapped with the local air quality sensors via constant GPS tracking.