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

使用可穿戴设备量化空气污染和身体活动之间的相互作用

• 批准号: 530268-2018
• 负责人: Koehle, Michael
• 金额: $ 1.82万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=655793
• 关键词: Use; wearables; quantify; interactions; between

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

数字健康监测和个性化医疗是两个研究和市场领域，由于普通民众和科学界对空气污染对人类健康造成的威胁的认识不断提高，这两个领域获得了动力。最近的技术进步导致便携式空气污染传感器的发展，可以评估个性化的空气污染暴露。拟议项目的目的是将个性化的空气污染评估与健康症状记录结合起来，生成算法，确定个性化的污染物阈值，从而就如何在空气污染水平增加时将健康风险保持在最低水平提出个性化的建议。**Memotext是一个基于互联网的健康管理系统，其愿景是通过**支持客户通过改变行为来适应健康的生活方式，“使健康数据有用”。迄今为止，Memotext的服务不包括环境健康**评估。空气污染通常与身体活动结合评估，因为呼吸频率增加，导致吸入污染物的剂量增加。由于空气污染暴露评估的局限性，人们对空气污染和身体活动的相互作用知之甚少。在这个项目中，我们想研究可穿戴设备是否可以用于生成算法，提供个性化的生活方式建议，以最大限度地降低与空气污染相关的风险，同时最大限度地从体育锻炼中获益。虽然Memotext的个人在数字健康系统的临床应用方面具有专业知识，但Koehle博士在空气污染环境中的运动生理学领域提供专业知识。本研究的目的是：(1)评估**预测的污染水平与个人实际接触的关系，以确定**便携式空气污染传感器在收集接触数据中的效用；(2)为Memotext客户确定可穿戴式污染和**活动传感器在日常使用中是否可靠；(3)生成并评估自学习算法的决策树**，为用户提供个性化的健康建议