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The Mobilize Center and Restore Center at Stanford University invite you to join our next webinar, featuring Caitlin Clancy from Stanford University.
DETAILS
Title: Muscle-Driven Simulations and Experimental Data of Cycling
Speaker: Caitlin Clancy, Stanford University
Time: Wednesday, April 17, 2024 at 9:00 AM Pacific Time
Registration: Click here to register
ABSTRACT
Musculoskeletal simulations have provided valuable insights in studies of walking and running, but a set of freely available simulations and corresponding experimental data for cycling do not exist. The aim of this work was to use open-source musculoskeletal simulation softwares OpenSim and OpenSim Moco to develop a set of muscle-driven simulations of 16 participants cycling over a range of powers and cadences and validate them by comparison with experimental data.
In the first half of the webinar, Ms. Clancy will present her OpenSim modeling pipeline for cycling and the results of her study. She will demonstrate her team’s approach to generating simulations using OpenSim Moco and how they explored different optimization objectives to improve similarity with experimental data.
In the second half of the webinar, Ms. Clancy will discuss best practices for, and share lessons learned from, working with OpenSim Moco. In particular, she will discuss strategies and provide examples she used to iterate and refine the Moco optimization problem and choose different settings.
Clancy, C.E.*, Gatti, A.A.*, Ong, C.F., Maly, M.R., Delp, S.L. Muscle-driven simulations and experimental data of cycling. Sci Rep 13, 21534 (2023). https://doi.org/10.1038/s41598-023-47945-5 *Authors contributed equally.
DETAILS
Title: Muscle-Driven Simulations and Experimental Data of Cycling
Speaker: Caitlin Clancy, Stanford University
Time: Wednesday, April 17, 2024 at 9:00 AM Pacific Time
Registration: Click here to register
ABSTRACT
Musculoskeletal simulations have provided valuable insights in studies of walking and running, but a set of freely available simulations and corresponding experimental data for cycling do not exist. The aim of this work was to use open-source musculoskeletal simulation softwares OpenSim and OpenSim Moco to develop a set of muscle-driven simulations of 16 participants cycling over a range of powers and cadences and validate them by comparison with experimental data.
In the first half of the webinar, Ms. Clancy will present her OpenSim modeling pipeline for cycling and the results of her study. She will demonstrate her team’s approach to generating simulations using OpenSim Moco and how they explored different optimization objectives to improve similarity with experimental data.
In the second half of the webinar, Ms. Clancy will discuss best practices for, and share lessons learned from, working with OpenSim Moco. In particular, she will discuss strategies and provide examples she used to iterate and refine the Moco optimization problem and choose different settings.
Clancy, C.E.*, Gatti, A.A.*, Ong, C.F., Maly, M.R., Delp, S.L. Muscle-driven simulations and experimental data of cycling. Sci Rep 13, 21534 (2023). https://doi.org/10.1038/s41598-023-47945-5 *Authors contributed equally.