Next Article in Journal
Understanding the Aerodynamic Benefits of Drafting in the Wake of Cyclists
Previous Article in Journal
Motion and Muscle Activity of Synchronized Rolling-Type Double-Leg Circles on a Pommel Horse
Open AccessProceedings

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

1
School of Sport Studies, Fontys University of Applied Sciences, 5644 HZ Eindhoven, The Netherlands
2
Department of Industrial Design, Eindhoven University of Technology, 5612 AJ Eindhoven, The Netherlands
3
2M Engineering, John F Kennedylaan 3, 5555 XC Valkenswaard, The Netherlands
*
Author to whom correspondence should be addressed.
Presented at the 13th conference of the International Sports Engineering Association, Online, 22–26 June 2020.
Proceedings 2020, 49(1), 30; https://doi.org/10.3390/proceedings2020049030
Published: 15 June 2020
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.
Keywords: running technique; workload; feedback; biomechanics; gait; running economy; cadence running technique; workload; feedback; biomechanics; gait; running economy; cadence
MDPI and ACS Style

Goudsmit, J.; Giudici, S.L.; Herweijer, J.; Vos, S. Measuring Running Workload and Key Points during Treadmill Running Using a Custom Build ‘Nodes’ System. Proceedings 2020, 49, 30.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop