Monitoring and estimating inhalation of particular matter using personal physiological data
Monitoring and estimating inhalation of particular matter using personal physiological data
复制标题
使用个人生理数据监测和估计特定物质的吸入
DOI：
10.1109/smc.2017.8122716
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Yue
中科院分区：
文献类型：
--
作者：
Yu;A. Yang;Yung;Yue
研究表明，过量吸入PM2.5会严重影响人体健康。许多国家都部署了各种空气污染检测器，以报告PM2.5的浓度，以显示空气污染的严重程度。但是，更重要的是，人们随时随地吸入了多少PM2.5。因此，在本文中，我们提出了一种方法来监测和估计人的PM2.5吸入通过使用个人的生理数据，如心率（HR），和移动的PM2.5传感器。我们可以从公司的智能手环云平台上获取人们的心率，然后根据个人心率和每分钟通气量（VE）计算他/她的PM2.5吸入量。在该方法中，我们首先采用布鲁斯协议在跑步机上测量各种身体机能，如心率和VE，并利用回归模型建立VE的预测模型。因此，我们可以利用智能手环监测人的心率，然后根据个人心率和移动的PM2.5传感器（MPS）计算PM2.5吸入量。我们认为该方法可以有效地估算出体力活动对PM2.5吸入量的影响.
It is shown that the excessive inhalation of PM (Particulate Matter) 2.5 will seriously affect the health of human. Many countries have deployed various detectors for air pollution in order to report concentration of PM2.5 to show how much seriousness of air pollution is. But, what more important is how much PM 2.5 has been inhaled by people anytime and anywhere. Therefore, in this paper, we propose a method for monitoring and estimating people's PM2.5 inhalation by using personally physiological data, such as heart rate (HR), and mobile PM2.5 sensor. We can retrieve people's heart rate from company's cloud platform of smart bracelet and then calculate his/her PM2.5 inhalation based on personal HR and minute ventilation (VE). In the method, we first adopt Bruce protocol to measure various functions of body, such as HR and VE, on a treadmill and exploit regression model to build predictive model for VE. Therefore, we can utilize smart bracelet to monitor people heart rate and then calculate PM2.5 inhalation based on personal HR and mobile PM2.5 sensor (MPS). We think that the method can effectively estimate the PM 2.5 inhalation of physical activity.
DOI：
10.1164/ajrccm/147.4.826
发表时间：
1993-04-01
期刊：
AMERICAN REVIEW OF RESPIRATORY DISEASE
影响因子：
--
作者：
SCHWARTZ, J;SLATER, D;KOENIG, JQ
通讯作者：
KOENIG, JQ
影响因子：
120.7
作者：
Pope, CA;Burnett, RT;Thurston, GD
通讯作者：
Thurston, GD
影响因子：
158.5
作者：
DOCKERY, DW;POPE, CA;SPEIZER, FE
通讯作者：
SPEIZER, FE