Prediction of energy efficient pedal forces in cycling using musculoskeletal simulation models

Franz Höchtl; Harald Böhm; Veit Senner

doi:10.1016/j.proeng.2010.04.134

Prediction of energy efficient pedal forces in cycling using musculoskeletal simulation models

Franz Höchtl, Harald Böhm, Veit Senner

Associate Professorship of Sport Equipment and Sport Materials

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A biomechanical simulation model was developed to analyze energy efficient pedal forces in cycling. With a genetic optimisation algorithm muscle activation has been optimized in order to minimize metabolic energy consumption. Results show that the established mechanical definition of the Index of Efficiency is not appropriate to quantify pedaling technique, because it is not in agreement with metabolic efficiency of the biomechanical system.

Original language	English
Pages (from-to)	3211-3215
Number of pages	5
Journal	Procedia Engineering
Volume	2
Issue number	2
DOIs	https://doi.org/10.1016/j.proeng.2010.04.134
State	Published - Jun 2010

Keywords

Cycling efficiency
Genetic optimisation algorithm
Hill type muscle model
Index of efficiency
Multi body system

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.proeng.2010.04.134

Cite this

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title = "Prediction of energy efficient pedal forces in cycling using musculoskeletal simulation models",

abstract = "A biomechanical simulation model was developed to analyze energy efficient pedal forces in cycling. With a genetic optimisation algorithm muscle activation has been optimized in order to minimize metabolic energy consumption. Results show that the established mechanical definition of the Index of Efficiency is not appropriate to quantify pedaling technique, because it is not in agreement with metabolic efficiency of the biomechanical system.",

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AU - Höchtl, Franz

AU - Böhm, Harald

AU - Senner, Veit

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N2 - A biomechanical simulation model was developed to analyze energy efficient pedal forces in cycling. With a genetic optimisation algorithm muscle activation has been optimized in order to minimize metabolic energy consumption. Results show that the established mechanical definition of the Index of Efficiency is not appropriate to quantify pedaling technique, because it is not in agreement with metabolic efficiency of the biomechanical system.

AB - A biomechanical simulation model was developed to analyze energy efficient pedal forces in cycling. With a genetic optimisation algorithm muscle activation has been optimized in order to minimize metabolic energy consumption. Results show that the established mechanical definition of the Index of Efficiency is not appropriate to quantify pedaling technique, because it is not in agreement with metabolic efficiency of the biomechanical system.

KW - Cycling efficiency

KW - Genetic optimisation algorithm

KW - Hill type muscle model

KW - Index of efficiency

KW - Multi body system

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Prediction of energy efficient pedal forces in cycling using musculoskeletal simulation models

Abstract

Keywords

UN SDGs

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