Sensewear Armband运动传感器:体力活动能量评估中的应用

发布时间：2018-11-01 13:30

【摘要】：背景:SWA(Sense Wear Pro Armband)是一种由多种运动传感器所结合的体力活动能量消耗监控设备。其在近年来被广泛应用于体力活动能量消耗的研究中。目的:对SWA准确性、软件版本、佩戴时间、不同人群和不同体力活动水平等不同方面的应用情况进行汇总,期望能为今后SWA的使用提供一些实用性的参考。方法:检索2015年1月前公开发表于CNKI全文数据库及PubM ed文摘数据库的论文。文献筛选标准为:1在CNKI全文数据库中以"体力活动,Armband,能量消耗"为关键词进行搜索。2检索Pubmed文摘数据库、Web of Science数据库,关键词为"Physical activity,Sense Wear Pro Armband,Energy Expenditure,Review"。以发表在核心期刊者或SCI数据库收录者优先。结果与结论:双标水、间接测热法等方法为标准的校标研究显示,SWA具有较高的准确性,能有效评估日常体力活动的能量消耗。但在特殊情况下也存在一定的差异,例如不同的人群、运动强度等。与此同时,确定恰当的佩戴时间和数据统计时使用软件版本也是影响最终结果准确性的因素之一。SWA能准确预测体力活动能耗,但针对不同人群、运动强度等情况应有必要对SWA的计算公式进一步的进行改进。
[Abstract]:Background: SWA (Sense Wear Pro Armband) is a kind of physical activity energy consumption monitoring equipment combined with a variety of motion sensors. In recent years, it has been widely used in the study of physical activity energy consumption. Objective: to summarize the application of SWA in different aspects, such as accuracy, software version, wear time, different crowd and different physical activity level, and hope to provide some practical reference for the future use of SWA. Methods: to search the papers published in CNKI full text database and PubM ed abstract database before January 2015. The screening criteria were as follows: (1) searching for "physical activity, Armband, energy consumption" in CNKI full-text database, and (2) searching, Web of Science database of Pubmed abstract database with the key word "Physical activity,Sense Wear Pro Armband,Energy Expenditure,Review". Publications in core journals or SCI databases are preferred. Results & conclusion: the standard calibration studies of double standard water and indirect calorimetry show that SWA has high accuracy and can effectively evaluate the energy consumption of daily physical activities. However, there are some differences in special circumstances, such as different population, exercise intensity and so on. At the same time, the use of software versions when determining the appropriate wear time and statistics is one of the factors that affect the accuracy of the final results. SWA can accurately predict physical activity energy consumption, but for different populations. It is necessary to further improve the formula of SWA in motion intensity.
【作者单位】：上海体育学院;
【基金】：上海体育学院研究生创新培育计划项目(yjscx2015044) 上海市科委重点支撑计划项目(12490503100) 国家社科基金项目(13BTY044) 上海市人类运动能力开发与保障重点实验室(上海体育学院)资助项目(11DZ2261100)~~
【分类号】：R318.08;TP212.3

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