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 A. 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

Fingerprint

Dive into the research topics of 'Measuring Running Workload and Key Points during Treadmill Running Using a Custom Build ‘Nodes’ System'. Together they form a unique fingerprint.

Cite this