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The Mobilize Center and Restore Center at Stanford University invite you to join our next webinar, featuring Jennifer Maier from Stanford University.
DETAILS
Title: Personalizing a Computational Upper Body Model
Speaker: Jennifer Maier, PhD, Stanford University
Time: Wednesday, September 11, 2024 at 9:00 AM Pacific Time
Registration: Click here to register
ABSTRACT
Musculoskeletal models of the shoulder are needed to understand the mechanics of overhead motions, but existing models are generic and might not accurately represent an individual’s scapular kinematics. The aim of this work was to develop an approach for personalizing the shoulder rhythm constraints in a computational upper body model to reduce marker tracking errors in the kinematic analysis of shoulder motions.
In the first half of the webinar, Dr. Maier will present her shoulder rhythm personalization approach and the results of her study. She will present how the shoulder rhythm is implemented in the generic model and how it can be personalized with the help of five calibration measurements.
In the second half of the webinar, Dr. Maier will give a tutorial explaining how to use the personalization approach for your own data. Using colab notebooks and OpenSim she will guide the audience through the step-by-step process of model scaling and model personalization.
Maier JN, Bianco NA, Ong CF, Muccini J, Kuhl E, Delp SL. Personalizing a computational upper body model improves kinematic tracking in high range-of-motion arm movements. bioRxiv preprint 2024.06.12.598739, under review with Journal of Biomechanics.
DETAILS
Title: Personalizing a Computational Upper Body Model
Speaker: Jennifer Maier, PhD, Stanford University
Time: Wednesday, September 11, 2024 at 9:00 AM Pacific Time
Registration: Click here to register
ABSTRACT
Musculoskeletal models of the shoulder are needed to understand the mechanics of overhead motions, but existing models are generic and might not accurately represent an individual’s scapular kinematics. The aim of this work was to develop an approach for personalizing the shoulder rhythm constraints in a computational upper body model to reduce marker tracking errors in the kinematic analysis of shoulder motions.
In the first half of the webinar, Dr. Maier will present her shoulder rhythm personalization approach and the results of her study. She will present how the shoulder rhythm is implemented in the generic model and how it can be personalized with the help of five calibration measurements.
In the second half of the webinar, Dr. Maier will give a tutorial explaining how to use the personalization approach for your own data. Using colab notebooks and OpenSim she will guide the audience through the step-by-step process of model scaling and model personalization.
Maier JN, Bianco NA, Ong CF, Muccini J, Kuhl E, Delp SL. Personalizing a computational upper body model improves kinematic tracking in high range-of-motion arm movements. bioRxiv preprint 2024.06.12.598739, under review with Journal of Biomechanics.