Literature DB >> 28482367

Accuracy of Cycling Power Meters against a Mathematical Model of Treadmill Cycling.

Thomas Maier1, Lucas Schmid1, Beat Müller1, Thomas Steiner1, Jon Peter Wehrlin1.   

Abstract

The aim of this study was to compare the accuracy among a high number of current mobile cycling power meters used by elite and recreational cyclists against a first principle-based mathematical model of treadmill cycling. 54 power meters from 9 manufacturers used by 32 cyclists were calibrated. While the cyclist coasted downhill on a motorised treadmill, a back-pulling system was adjusted to counter the downhill force. The system was then loaded 3 times with 4 different masses while the cyclist pedalled to keep his position. The mean deviation (trueness) to the model and coefficient of variation (precision) were analysed. The mean deviations of the power meters were -0.9±3.2% (mean±SD) with 6 power meters deviating by more than±5%. The coefficients of variation of the power meters were 1.2±0.9% (mean±SD), with Stages varying more than SRM (p<0.001) and PowerTap (p<0.001). In conclusion, current power meters used by elite and recreational cyclists vary considerably in their trueness; precision is generally high but differs between manufacturers. Calibrating and adjusting the trueness of every power meter against a first principle-based reference is advised for accurate measurements. © Georg Thieme Verlag KG Stuttgart · New York.

Mesh:

Year:  2017        PMID: 28482367     DOI: 10.1055/s-0043-102945

Source DB:  PubMed          Journal:  Int J Sports Med        ISSN: 0172-4622            Impact factor:   3.118


  9 in total

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2.  Critical speed estimated by statistically appropriate fitting procedures.

Authors:  Davide Malatesta; Fabio Borrani; Aurélien Patoz; Romain Spicher; Nicola Pedrani
Journal:  Eur J Appl Physiol       Date:  2021-04-03       Impact factor: 3.078

3.  Considerations on the Assessment and Use of Cycling Performance Metrics and their Integration in the Athlete's Biological Passport.

Authors:  Paolo Menaspà; Chris R Abbiss
Journal:  Front Physiol       Date:  2017-11-09       Impact factor: 4.566

4.  Repeated Sprint Training in Hypoxia: Case Report of Performance Benefits in a Professional Cyclist.

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Journal:  Front Sports Act Living       Date:  2020-04-14

Review 5.  Power profiling and the power-duration relationship in cycling: a narrative review.

Authors:  Peter Leo; James Spragg; Tim Podlogar; Justin S Lawley; Iñigo Mujika
Journal:  Eur J Appl Physiol       Date:  2021-10-27       Impact factor: 3.078

Review 6.  Caveats and Recommendations to Assess the Validity and Reliability of Cycling Power Meters: A Systematic Scoping Review.

Authors:  Anthony Bouillod; Georges Soto-Romero; Frederic Grappe; William Bertucci; Emmanuel Brunet; Johan Cassirame
Journal:  Sensors (Basel)       Date:  2022-01-05       Impact factor: 3.576

7.  Three weeks of a home-based "sleep low-train low" intervention improves functional threshold power in trained cyclists: A feasibility study.

Authors:  Samuel Bennett; Eve Tiollier; Franck Brocherie; Daniel J Owens; James P Morton; Julien Louis
Journal:  PLoS One       Date:  2021-12-02       Impact factor: 3.240

8.  New Procedure for the Kinematic and Power Analysis of Cyclists in Indoor Training.

Authors:  José Antonio Calvo; Carolina Álvarez-Caldas; José Luis San Román; Ramón Gutiérrez-Moizant
Journal:  Sensors (Basel)       Date:  2020-10-28       Impact factor: 3.576

9.  Validity of the Favero Assioma Duo Power Pedal System for Measuring Power Output and Cadence.

Authors:  Almudena Montalvo-Pérez; Lidia B Alejo; Pedro L Valenzuela; Mario Castellanos; Jaime Gil-Cabrera; Eduardo Talavera; Alejandro Lucia; David Barranco-Gil
Journal:  Sensors (Basel)       Date:  2021-03-24       Impact factor: 3.576

  9 in total

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