Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA 94720, USA.
Sensors (Basel). 2018 Jan 10;18(1):175. doi: 10.3390/s18010175.
Studies have shown that about half of the injuries sustained during long-distance running involve the knee. Cadence (steps per minute) has been identified as a factor that is strongly associated with these running-related injuries, making it a worthwhile candidate for further study. As such, it is critical for long-distance runners to minimize their risk of injury by running at an appropriate running cadence. In this paper, we present the results of a study on the feasibility and usability of RunningCoach, a mobile health (mHealth) system that remotely monitors running cadence levels of runners in a continuous fashion, among other variables, and provides immediate feedback to runners in an effort to help them optimize their running cadence.
研究表明，长跑过程中约有一半的损伤涉及膝盖。步频（每分钟步数）已被确定为与这些跑步相关损伤密切相关的因素，因此值得进一步研究。因此，长跑运动员通过以适当的跑步步频来最小化受伤风险至关重要。在本文中，我们介绍了一项关于 RunningCoach 的可行性和可用性的研究结果，RunningCoach 是一个移动健康（mHealth）系统，可以远程连续监测跑步者的跑步步频水平和其他变量，并为跑步者提供即时反馈，以帮助他们优化跑步步频。
