Literature DB >> 17024643

Development and evaluation of a new bicycle instrument for measurements of pedal forces and power output in cycling.

B Stapelfeldt1, G Mornieux, R Oberheim, A Belli, A Gollhofer.   

Abstract

Determination of pedal forces is a prerequisite to analyse cycling performance capability from a biomechanical point of view. Comparing existing pedal force measurement systems, there are methodological or practical limitations regarding the requirements of scientific sports performance research and enhancement. Therefore, the aim of this study was to develop and to validate a new bicycle instrument that enables pedal forces as well as power output measurements with a free choice of pedal system. The instrument (Powertec-System) is based on force transducer devices, using the Hall-Effect and being mounted between the crank and the pedal. Validation of the method was evaluated by determining the accuracy, the cross talk effect, the influence of lateral forces, the reproducibility and, finally, a possible drift under static conditions. Dynamic tests were conducted to validate the power output measurement in reference to the SRM-System. The mean error of the present system was -0.87 +/- 4.09 % and -1.86 +/- 6.61 % for, respectively, the tangential and radial direction. Cross talk, lateral force influence, reproducibility and drift mean values were < +/- 7 %, < or = 2.4 %, < 0.8 % and 0.02 N x min (-1), respectively. In dynamic conditions, the power output measurement error could be kept below 2.35 %. In conclusion, this method offers the possibility for both valid pedal forces and power output measurements. Moreover, the instrument allows measurements with every pedal system. This method has an interesting potential for biomechanical analyses in cycling research and performance enhancement.

Mesh:

Year:  2006        PMID: 17024643     DOI: 10.1055/s-2006-924352

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


  6 in total

1.  Comparison of nine theoretical models for estimating the mechanical power output in cycling.

Authors:  Carlos González-Haro; P A Galilea Ballarini; M Soria; F Drobnic; J F Escanero
Journal:  Br J Sports Med       Date:  2007-03-06       Impact factor: 13.800

2.  Effects of endurance training on neuromuscular fatigue in healthy active men. Part I: Strength loss and muscle fatigue.

Authors:  J Mira; S J Aboodarda; M Floreani; R Jaswal; S J Moon; K Amery; T Rupp; Guillaume Y Millet
Journal:  Eur J Appl Physiol       Date:  2018-08-18       Impact factor: 3.078

3.  The relationship between oxygen uptake kinetics and neuromuscular fatigue in high-intensity cycling exercise.

Authors:  John Temesi; Felipe Mattioni Maturana; Arthur Peyrard; Tatiane Piucco; Juan M Murias; Guillaume Y Millet
Journal:  Eur J Appl Physiol       Date:  2017-03-29       Impact factor: 3.078

4.  Freely Chosen Cadence is Increased during Repeated Bouts of Submaximal Ergometer Pedalling.

Authors:  Andreas Schmidt; Jonas G Madsen; Magnus K Hyttel; Ernst A Hansen
Journal:  Int J Exerc Sci       Date:  2022-08-01

5.  An ultra-low power wireless sensor network for bicycle torque performance measurements.

Authors:  Sadik K Gharghan; Rosdiadee Nordin; Mahamod Ismail
Journal:  Sensors (Basel)       Date:  2015-05-21       Impact factor: 3.576

6.  Neuro-Mechanics of Recumbent Leg Cycling in Post-Acute Stroke Patients.

Authors:  Emilia Ambrosini; Cristiano De Marchis; Alessandra Pedrocchi; Giancarlo Ferrigno; Marco Monticone; Maurizio Schmid; Tommaso D'Alessio; Silvia Conforto; Simona Ferrante
Journal:  Ann Biomed Eng       Date:  2016-06-01       Impact factor: 3.934

  6 in total

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