Use of wearables to quantify the interactions between air pollution and physical activity
Use of wearables to quantify the interactions between air pollution and physical activity
批准号:
530268-2018
负责人:
Koehle, Michael
金额:
$1.82万
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
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
数字健康监测和个性化医疗是两个研究和市场部门,由于普通民众和科学界对空气污染正在对人类健康构成威胁的认识的提高,这两个领域获得了**势头。最近的技术进步导致了便携式**空气污染传感器的发展,这种传感器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的记录相结合,**生成确定个性化污染物阈值的算法,从而产生个性化的**建议,说明当空气污染水平增加时,如何将健康风险保持在最低限度。**Memotext是一个基于互联网的健康管理系统,其愿景是**通过**支持客户通过行为改变来适应健康的生活方式,从而使健康数据变得有用。到目前为止,Memotext的服务还不包括环境健康**评估。空气污染的评估通常与体力活动相结合,因为呼吸频率会增加,这会导致吸入的污染物剂量增加。由于空气污染暴露评估的局限性,人们对空气污染和体力活动之间的相互作用知之甚少。通过这个项目,我们希望研究是否可以**使用可穿戴设备**生成算法,提供个性化的生活方式建议,以最大限度地减少与空气污染相关的风险**,同时最大化体育锻炼的好处。Memotext的个人在数字健康系统的临床应用方面拥有专业知识,而Koehle博士则在**空气污染环境下的运动生理学领域提供专业知识。这项研究的目的是(1)评估**预测的污染水平与个人经历的实际暴露之间的关系,以确定**便携式空气污染传感器在暴露数据收集中的效用;(2)确定可穿戴式污染传感器和**活动传感器在Memotext客户的日常使用中是否可靠;以及(3)为自我学习算法生成和评估决策树**,以向用户提供关于如何保持健康的个性化建议
英文摘要
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
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