Air pollution poses a significant threat to public health, with Particulate Matter (PM) being one of the most harmful pollutants, especially for those suffering of chronic respiratory diseases. In this work, we propose AirPredict, a digital health mobile application designed to monitor personal PM exposure and respiratory outcomes for asthma patients. By integrating data from wearable sensors, the platform accurately assesses inhaled pollutant doses and estimates individual PM exposure, while users log essential clinical data daily offering a one-in-all solution. The evaluation in a 14-day beta session with an asthma patient demonstrated the platform's intuitive nature and positive user experience. The application's user-friendly interface empowers individuals to make informed decisions to minimize exposure and enhance their quality of life.
AirPredict: a wearable sensor-based app to track particulate matter exposure and respiratory health
Atzeni M.;Cappon G.;Vettoretti M.
2023
Abstract
Air pollution poses a significant threat to public health, with Particulate Matter (PM) being one of the most harmful pollutants, especially for those suffering of chronic respiratory diseases. In this work, we propose AirPredict, a digital health mobile application designed to monitor personal PM exposure and respiratory outcomes for asthma patients. By integrating data from wearable sensors, the platform accurately assesses inhaled pollutant doses and estimates individual PM exposure, while users log essential clinical data daily offering a one-in-all solution. The evaluation in a 14-day beta session with an asthma patient demonstrated the platform's intuitive nature and positive user experience. The application's user-friendly interface empowers individuals to make informed decisions to minimize exposure and enhance their quality of life.
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