Electronic devices and applications to track physical activity.
作者信息
Schrack Jennifer, Zipunnikov Vadim, Crainiceanu Ciprian
机构信息
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
出版信息
JAMA. 2015 May 26;313(20):2079-80. doi: 10.1001/jama.2015.3877.
Abstract
摘要
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本文引用的文献
1
Accuracy of smartphone applications and wearable devices for tracking physical activity data.用于追踪身体活动数据的智能手机应用程序和可穿戴设备的准确性。
JAMA. 2015 Feb 10;313(6):625-6. doi: 10.1001/jama.2014.17841.
2
Age group comparability of raw accelerometer output from wrist- and hip-worn monitors.腕部和髋部佩戴式加速度计原始输出的年龄组可比性。
Med Sci Sports Exerc. 2014 Sep;46(9):1816-24. doi: 10.1249/MSS.0000000000000289.
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Evolution of accelerometer methods for physical activity research.用于身体活动研究的加速度计方法的演变
Br J Sports Med. 2014 Jul;48(13):1019-23. doi: 10.1136/bjsports-2014-093546. Epub 2014 Apr 29.
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Kinematic, kinetic and metabolic parameters of treadmill versus overground walking in healthy older adults.健康老年人在跑步机上行走与在地面行走时的运动学、动力学和代谢参数。
Clin Biomech (Bristol). 2009 Jan;24(1):95-100. doi: 10.1016/j.clinbiomech.2008.07.002. Epub 2008 Oct 30.
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Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure.同步加速度测量和心率监测的分支方程建模可改善直接测量的身体活动能量消耗的估计。
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