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使用加速度计估算学龄前儿童日常生活中的呼吸通气率。

Estimation of the respiratory ventilation rate of preschool children in daily life using accelerometers.

机构信息

Research Center for Environmental Risks, National Institute for Environmental Studies, Tsukuba, Japan.

出版信息

J Air Waste Manag Assoc. 2011 Jan;61(1):46-54. doi: 10.3155/1047-3289.61.1.46.

Abstract

Inhalation rate is an essential factor for determining the inhaled dose of air pollutants. Here, accelerometers were used to develop regression equations for predicting the minute ventilation rate (V(E)) to estimate the daily inhalation rate in young children. Body acceleration and heart rate were measured in 29 Japanese preschool children (6 yr of age) during nine different levels of activities (lying down, sitting, standing, playing with plastic bricks, walking, building with blocks, climbing stairs, ball tossing, and running) using the Actical omnidirectional accelerometer, the ActivTracer triaxial accelerometer, and a heart rate monitor. Measurements were calibrated against the V(E) measured by the Douglas bag method. ActivTracer accelerometer measurements gave a strong correlation with V(E) (Pearson's r = 0.913), which was marginally stronger than that for the Actical counts (r = 0.886) and comparable to the correlation between heart rate and logarithmic V(E) (r = 0.909). According to the linear regression equation, the V(E) for lying down, sitting, standing, playing with plastic bricks, walking, and running was overestimated by 14-60% by the Actical and by 14-37% by the ActivTracer. By comparison, for building with blocks, climbing stairs, and ball tossing, the V(E) was underestimated by 19-23% by the Actical and by 13-18% by the ActivTracer. When these three activities were excluded, a stronger correlation was found between the V(E) and ActivTracer measurements (r = 0.949); this correlation was 0.761 for the three excluded activities. Discriminant analysis showed that the ratio between vertical and horizontal acceleration obtained by the ActivTracer could discriminate walking from building with blocks, climbing stairs, and ball tossing with a sensitivity of 75%. The error in estimating V(E) was considerably improved for the ActivTracer measurements by the use of two regression equations developed for each type of activity.

摘要

吸入率是决定空气污染物吸入量的一个重要因素。在这里,我们使用加速度计来建立回归方程,以预测分钟通气量(V(E)),从而估计幼儿的日吸入率。使用 Actical 全方位加速度计和 ActivTracer 三轴加速度计以及心率监测仪,在 29 名日本学龄前儿童(6 岁)进行 9 种不同活动水平(躺下、坐下、站立、玩塑料积木、行走、搭积木、爬楼梯、抛球和跑步)期间,测量他们的身体加速度和心率。通过 Douglas 袋法测量 V(E)对测量结果进行校准。ActivTracer 加速度计的测量结果与 V(E)具有很强的相关性(Pearson r = 0.913),略高于 Actical 计数的相关性(r = 0.886),与心率和对数 V(E)之间的相关性相当(r = 0.909)。根据线性回归方程,Actical 对躺下、坐下、站立、玩塑料积木、行走和跑步的 V(E)的估计值高估了 14%-60%,而 ActivTracer 的高估值为 14%-37%。相比之下,对于搭积木、爬楼梯和抛球,Actical 的低估值为 19%-23%,而 ActivTracer 的低估值为 13%-18%。当排除这三种活动时,V(E)与 ActivTracer 测量值之间的相关性更强(r = 0.949);而这三种活动的相关性为 0.761。判别分析表明,ActivTracer 获得的垂直和水平加速度之间的比值可以以 75%的灵敏度区分行走与搭积木、爬楼梯和抛球。通过为每种活动类型开发两个回归方程,ActivTracer 测量的 V(E)估计误差得到了显著改善。

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