Calibrating a novel multi-sensor physical activity measurement system.

Calibrating a novel multi-sensor physical activity measurement system.
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DOI:
10.1088/0967-3334/32/9/009
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发表时间:
2011-09
影响因子:
3.2
通讯作者:
Freedson PS
Freedson PS
中科院分区:
工程技术3区
文献类型:
--
作者:
John D;Liu S;Sasaki JE;Howe CA;Staudenmayer J;Gao RX;Freedson PS

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推动体力活动(PA)监测领域的发展需要开发在自由生活环境中可行的创新的多传感器测量系统。使用新的分析技术来组合和处理这些多个传感器信号也同样重要。本文介绍了一种新的多传感器集成功率放大器测量系统(IMS),用于校准IMS的基于实验室的方法,用于从传感器信号预测多变量的技术,并提出了设计改进,以提高在自由生活环境中部署IMS的可行性。IMS由臀部和手腕加速度传感器、躯干上的两个压电式呼吸传感器和一个紫外线辐射传感器组成,用于获取PA的背景信息(室内与室外)。在基于实验室的IMS校准过程中,收集了参与者在佩戴便携式代谢单元(标准测量)和IMS时执行PA例程的数据,该PA例程包括七种不同的步行和自由生活活动。对前50名成年参与者的数据进行了分析。这些分析被用来确定IMS是否可以用来预测感兴趣的变量。最后,提出了对IMS的物理修改,以提高自由生活使用的可行性,并讨论了预测技术的改进。
Advancing the field of physical activity (PA) monitoring requires the development of innovative multi-sensor measurement systems that are feasible in the free-living environment. The use of novel analytical techniques to combine and process these multiple sensor signals is equally important. This paper, describes a novel multi-sensor ‘Integrated PA Measurement System’ (IMS), the lab-based methodology used to calibrate the IMS, techniques used to predict multiple variables from the sensor signals, and proposes design changes to improve the feasibility of deploying the IMS in the free-living environment. The IMS consists of hip and wrist acceleration sensors, two piezoelectric respiration sensors on the torso, and an ultraviolet radiation sensor to obtain contextual information (indoors vs. outdoors) of PA. During lab-based calibration of the IMS, data were collected on participants performing a PA routine consisting of seven different ambulatory and free-living activities while wearing a portable metabolic unit (criterion measure) and the IMS. Data analyses on the first 50 adult participants are presented. These analyses were used to determine if the IMS can be used to predict the variables of interest. Finally, physical modifications for the IMS that could enhance feasibility of free-living use are proposed and refinement of the prediction techniques is discussed.
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发表时间: 2007-11-01
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影响因子: --
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DOI: 10.1152/japplphysiol.00465.2009
发表时间: 2009-10-01
影响因子: 3.3
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影响因子: 2.5
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发表时间: 2008-06-01
影响因子: 3.2
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