中国组织工程研究 ›› 2015, Vol. 19 ›› Issue (42): 6843-6848.doi: 10.3969/j.issn.2095-4344.2015.42.022

• 组织构建综述 tissue construction review • 上一篇    下一篇

Sensewear Armband运动传感器:体力活动能量评估中的应用

王思娅,庄  洁,朱  政   

  1. 上海体育学院,上海市 200438
  • 出版日期:2015-10-08 发布日期:2015-10-08
  • 通讯作者: 庄洁,博士,教授,上海体育学院,上海市 200438
  • 作者简介:王思娅,女,1991年生,浙江省杭州市人,汉族,2013年上海体育学院毕业,主要从事青少年体质研究。
  • 基金资助:

    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)

SenseWear Pro Armband: a monitoring device of physical activity energy consumption

Wang Si-ya, Zhuang Jie, Zhu Zheng   

  1. Shanghai University of Sport, Shanghai 200438, China
  • Online:2015-10-08 Published:2015-10-08
  • Contact: Zhuang Jie, M.D., Professor, Shanghai University of Sport, Shanghai 200438, China
  • About author:Wang Si-ya, Shanghai University of Sport, Shanghai 200438, China
  • Supported by:

    the Graduate Innovative Development Program of Shanghai University of Sport, No. yjscx2015044; the Support Program of Shanghai Science and Technology Committee, No. 12490503100; the National Social Science Fund of China, No. 13BTY044; the Funding Item of Shanghai Key Laboratory of Human Athletic Ability Development and Protection, No. 11DZ2261100

摘要:

背景:SWA(SenseWear 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PubMed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, SenseWear 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。
中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松组织工程

关键词: 组织构建, 组织工程, 体力活动, SenseWear Pro Armband, 运动传感器, 能量消耗, 综述

Abstract:

BACKGROUND: SenseWear Pro Armband (SWA) is a monitoring device of physical activity energy consumption which consists of many kinds of motion sensors, and it has been widely used in the study of physical activity energy consumption in recent years.

OBJECTIVE: To summarize the SWA accuracy, software version, time of wear as well as its application in different populations and at different physical activity levels, for the purpose of providing some practical reference in the future usage of SWA.
METHODS: A computer-based search of CNKI (full-text database), PubMed and Web of Science databases was done for relevant articles published before January 2015 using the keywords of “physical activity, sensewear pro armband, energy expenditure, review” in Chinese and English, respectively. Articles published in core journals or SCI database were preferred.
RESULTS AND CONCLUSION: Double labeled water method and indirect measurement method serve as standard criteria, and the relevant study shows that SWA has higher accuracy and can effectively evaluate the daily physical activity energy consumption. But under the special circumstances, there are some differences, such as different people and different exercise intensities. Meanwhile, to determine the appropriate wearing time and software version for data statistics are also one of the factors influencing the accuracy of the final result. SWA can accurately predict physical activity energy consumption, but for different populations and exercise intensities, it is necessary to improve the further calculation formula of SWA.
中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松组织工程

Key words: Energy Metabolism, Motor Activity, Biosensing Techniques, Calorimetry, Indirect