Sep 26, 2019

Webinar - Metabolic cost modeling: experimental validation and predictive simulations

Learn about different metabolic cost models, experimental validation of them, and use of them in predictive simulations


A recording of the event is available for viewing.


Title: Metabolic cost modeling: experimental validation and predictive simulations
Speakers: Anne Koelewijn, D.Eng., Friedrich-Alexander Universität Erlangen-Nürnberg & Antonie van den Bogert, PhD, Cleveland State University
Time: Thursday, September 26, 2019 at 10:00 a.m. Pacific Time


It is not known whether muscle activation or metabolic energy is minimized during human movement. In order to investigate this question with musculoskeletal models, a mathematical model for metabolic energy expenditure is needed. We investigated the validity of seven metabolic energy models by comparing their estimates to oxygen uptake data. The models by Bhargava et al. (J Biomech, 2004: 81-88) and Lichtwark and Wilson (J Exp Biol, 2005: 2831-2843) had the best agreement with the oxygen data. Next, we compared predictive gait simulations that minimized metabolic cost against a simulation that minimized squared muscle activation. Joint angles were more realistic with metabolic cost minimization, while joint moments were more realistic when minimizing activation.

In this webinar, we will discuss the experiment and analysis used to calculate metabolic cost from gait data and compare the metabolic energy models. Then, we will explain how the metabolic energy models were modified to be twice differentiable, which is required for gradient-based optimization. Finally, we will explain how we found predictive gait simulations using objectives of metabolic cost and squared muscle activation and how we compared these objectives.

The webinar slides are available at (look under the 2019 section). The data used in the study has also been made available

Read more about the research presented in these publications:
1) Metabolic cost calculations of gait using musculoskeletal energy models, a comparison study
2) A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait