Use of wearables to quantify the interactions between air pollution and physical activity

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Digital health monitoring and personalized medicine are two research and market sectors that have gained**momentum due to the increased awareness in the general population and the scientific community of the thread**air pollution is posing on human health. Recent technological advances have led to the development of portable**air pollution sensors that allow the assessment of personalized air pollution exposure. The purpose of the**proposed project is to combine personalized air pollution assessments with recordings of health symptoms to**generate algorithms that determine personalized thresholds of pollutants, which lead to individualized**recommendations on how to keep the health risk at a minimum when air pollution levels are increased.**Memotext is an internet based health management system with the vision "to make health data useful" by**supporting clients in adapting healthy lifestyles through behavior change. To date, environmental health**assessments are not included in Memotext's services. Air pollution is often assessed in combination with**physical activity, because breathing rates are increased, which lead to increases in the inhaled dose of**pollutants. The interactions of air pollution and physical activity are poorly understood due to limitations in the**assessment of air pollution exposure. With this project, we would like to investigate if wearables can be used**for the generation of algorithms that provide individualized lifestyle recommendations to minimize the risks**associated with air pollution while maximizing the benefits from physical activity. While individuals at**Memotext have expertise in the clinical application of digital health systems, Dr. Koehle provides expertise in**the field of exercise physiology in the setting of air pollution. The purpose of this study is to (1) To assess how**forecasted pollution levels correlate with actual exposures experienced by individuals to determine the utility of**portable air pollution sensors in the collection of exposure data; (2) To determine if wearable pollution and**activity sensors are reliable in daily use for Memotext's clients; and (3) To generate and evaluate a decision tree**for a self-learning algorithm to provide users with personalized recommendations on how to keep the health