ORIGINAL RESEARCH article
Front. Digit. Health
Sec. Connected Health
Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1573342
AirPredict: An eHealth Platform for Asthma Management Leveraging Wearable Sensors, Digital Diaries, and Air Quality Monitoring to Optimize Patient Outcomes
Provisionally accepted
Michele Atzeni
Luca Cossu
Sergio GaiottiGiacomo CapponMariaenrica Tinè
Daniele PreviteroYlenia Padrin
Simonetta Baraldo
Umberto Semenzato
Martina Vettoretti*- University of Padua, Padua, Italy
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Asthma management is complex, and while it is known that many environmental factors play a critical role in exacerbations, there is increasing interest on the role of air pollution. Yet, the precise relations by which these factors affect exacerbation risk are not fully understood. There is a need for innovative solutions to monitor and assess personal exposure to air pollutants in both outdoor and indoor environments to better understand their impact on respiratory outcomes, particularly asthma exacerbations. This paper introduces AirPredict, an innovative eHealth platform designed to enhance asthma management through the integration of wearable sensors, digital diaries, and ambient air quality monitoring.AirPredict comprises a mobile application for patients, a web interface for clinicians, and a robust cloud-based infrastructure. The platform utilizes devices such as the Fitbit Charge 6 for heart rate monitoring, the Atmotube PRO for air quality assessment, and the MIR SmartOne for spirometry, providing precise, real-time data on individual exposures and health outcomes. A feasibility study involving 16 participants, including asthma patients and specialized clinicians in Padova, Italy, was conducted to evaluate the usability of platform's components.The results indicated high usability and user satisfaction, with average Single Ease Question (SEQ) scores ranging from of 6.8 to 5.5 out of 7 for patients and from 6.8 to 6.6 for clinicians, reflecting ease of use and functionality.The findings support the platform's broader adoption and further development, highlighting its role in advancing eHealth solutions for chronic disease management.
Keywords: Asthma management, Digital Health, wearable sensors, air quality monitoring, Feasibility study, Biomedical engineeirng
Received: 08 Feb 2025; Accepted: 15 May 2025.
Copyright: © 2025 Atzeni, Cossu, Gaiotti, Cappon, Tinè, Previtero, Padrin, Baraldo, Semenzato and Vettoretti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Martina Vettoretti, University of Padua, Padua, Italy
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