谷歌浏览器插件
订阅小程序
在清言上使用

Measuring Running Workload and Key Points During Treadmill Running Using a Custom Build ‘nodes’ System

Jos Goudsmit, Stella Lo Giudici, Janine Herweijer,Steven Vos

Proceedings(2020)

引用 0|浏览0
暂无评分
摘要
Within this study the aim is to measure running workload and relevant running technique key points on varying cadence in recreational runners using a custom build sensor system ‘Nodes’. Seven participants ran on a treadmill at a self-chosen comfortable speed. Cadence was randomly guided by a metronome using 92%, 96%, 100%, 104%, and 108% of the preferred cadence in 2-min trials. Workload was measured by collecting the heart rate and the rating of perceived exertion (RPE 1 to 10) scores. Heart rate data shows that the 100% cadence trial was most economical with a relative heart rate of 99.2%. The 108% cadence trial had the lowest relative RPE score with 96.2%. The sample rate of the Nodes system during this experiment was too low to analyze the key points. Three requirements are proposed for the further engineering of a wearable running system, (i) sampling frequency of minimal 50 Hz, (ii) step-by-step analysis, and (iii) collecting workload in the heart rate and RPE.
更多
查看译文
关键词
running technique,workload,feedback,biomechanics,gait,running economy,cadence
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要