Measuring Running Workload and Key Points during Treadmill Running Using a Custom Build ‘Nodes’ System

Jos F.A. Goudsmit (Corresponding author), Stella Lo Giudici, Janine Herweijer, Steven B. Vos

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Abstract
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.
Original languageEnglish
Article number30
Number of pages6
JournalProceedings
Volume49
Issue number1
DOIs
Publication statusPublished - 2020
Event13th conference on the Engineering of Sport on behalf of the International Sports Engineering Association (ISEA2020) - Tokyo, Japan
Duration: 22 Jun 202026 Jun 2020
https://www.isea2020.org/index.html

Bibliographical note

Presented at the 13th conference of the International Sports Engineering Association, Online, 22–26 June 2020. Tokyo

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