Chinese Journal of Tissue Engineering Research ›› 2015, Vol. 19 ›› Issue (42): 6843-6848.doi: 10.3969/j.issn.2095-4344.2015.42.022

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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

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