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首页> 外文期刊>Journal of medical engineering & technology >Applicability of consumer activity monitor data in marathon events: an exploratory study
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Applicability of consumer activity monitor data in marathon events: an exploratory study

机译:消费者活动监测数据在马拉松事件中的适用性:探索性研究

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摘要

Emerging opportunities to measure individual and population-level health data with activity monitors during recreational running activities may set the stage for new research possibilities in mass participation running events and marathon medicine. This study explores the applicability of consumer activity monitor data in a preliminary study for future marathon health research with a cohort of 12 (n?=?12) participants completing a 3.379?km walking or running course. This study explored the feasibility of collecting pace and distance data from Fitbit brand consumer activity monitors, from access to user data to reporting of data characteristics and data analysis. We show that a large percentage of participant data can be successfully retrieved from Fitbit consumer activity monitor devices for analysis in marathon health research, and that identifying variations in pace across participants is a practical possibility. We note a mean absolute percentage error of 13% over the true distance of 3.379?km, a higher error than that reported by other studies. We also observe a Pearson correlation coefficient between participant variation in pace and absolute distance error of 0.61. This study provides preliminary evidence to support the applicability of consumer activity monitor data in marathon health research.
机译:在娱乐运行活动期间,衡量具有活动监视器的个人和人口级健康数据的新兴机会可以为群众参与运行活动和马拉松药物的新研究可能性设定阶段。本研究探讨了消费者活动监测数据的适用性,在未来的马拉松健康研究中的初步研究中与12(n?=?12)参与者完成3.379 km行走或跑步课程。本研究探讨了从Fitbit品牌消费者活动监视器中收集步伐和距离数据的可行性,从用户数据到报告数据特征和数据分析。我们表明,可以从Fitbit消费者活动监控设备中成功检索大量的参与者数据,以进行马拉松健康研究的分析,并且识别参与者的步伐的变化是一种实际可能性。我们注意到一个平均绝对百分比误差为3.379 km,比其他研究报告的误差更高。我们还观察到PACE的参与者变化与0.61的绝对距离误差之间的Pearson相关系数。本研究提供了初步证据,以支持消费者活动监测数据在马拉松健康研究中的适用性。

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