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移动应用程序在运动、健康和运动科学领域中数据收集的应用:叙事性综述。

Use of Mobile Applications to Collect Data in Sport, Health, and Exercise Science: A Narrative Review.

机构信息

Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle-upon-Tyne, United Kingdom.

Department of Physical Education, Sport and Human Movement, Autonomous University of Madrid, Spain.

出版信息

J Strength Cond Res. 2019 Apr;33(4):1167-1177. doi: 10.1519/JSC.0000000000002344.

Abstract

Peart, DJ, Balsalobre-Fernández, C, and Shaw, MP. Use of mobile applications to collect data in sport, health, and exercise science: A narrative review. J Strength Cond Res 33(4): 1167-1177, 2019-Mobile devices are ubiquitous in the population, and most have the capacity to download applications (apps). Some apps have been developed to collect physiological, kinanthropometric, and performance data; however, the validity and reliability of such data is often unknown. An appraisal of such apps is warranted, as mobile apps may offer an alternative method of data collection for practitioners and athletes with money, time, and space constraints. This article identifies and critically reviews the commercially available apps that have been tested in the scientific literature, finding evidence to support the measurement of the resting heart through photoplethysmography, heart rate variability, range of motion, barbell velocity, vertical jump, mechanical variables during running, and distances covered during walking, jogging, and running. The specific apps with evidence, along with reported measurement errors are summarized in the review. Although mobile apps may have the potential to collect data in the field, athletes and practitioners should exercise caution when implementing them into practice as not all apps have support from the literature, and the performance of a number of apps have only been tested on 1 device.

摘要

皮尔特、Balsalobre-Fernández、C 和肖,MP。运动、健康和运动科学中使用移动应用程序收集数据:叙事评论。J 强实力研究 33(4):1167-1177,2019-移动设备在人群中无处不在,大多数都有下载应用程序 (apps) 的能力。一些应用程序已经开发出来用于收集生理、人体测量和性能数据;然而,这种数据的有效性和可靠性往往是未知的。对这些应用程序进行评估是有必要的,因为移动应用程序可能为有资金、时间和空间限制的从业者和运动员提供了一种替代数据收集方法。本文识别并批判性地审查了已在科学文献中测试过的商业上可用的应用程序,发现有证据支持通过光体积描记法、心率变异性、运动范围、杠铃速度、垂直跳跃、跑步过程中的机械变量以及步行、慢跑和跑步过程中的距离来测量静息心率。在审查中总结了具有证据的特定应用程序以及报告的测量误差。尽管移动应用程序可能有潜力在现场收集数据,但运动员和从业者在将其应用于实践时应谨慎,因为并非所有应用程序都得到文献的支持,并且一些应用程序的性能仅在 1 台设备上进行了测试。

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