Dr. Steele is awarded an NSF CAREER Award!

Congratulations to Dr. Kat Steele on her NSF CAREER Award!

Kat SteeleAs a recipient, Dr. Steele will focus on individuals who rely on orthoses for assistance while walking, such as cerebral palsy and stroke survivors, in order to improve human ability. Neuromuscular control and musculoskeletal dynamics will be modeled from motion capture in order to create simulations. Dynamic simulation provides an ideal framework to specify and test different neuromuscular control strategies and expand our ability to design optimized exoskeletons. For more information, click HERE.

NSF

KM Steele and S Lee (2014) “Using dynamic musculoskeletal simulation to evaluate altered muscle properties in cerebral palsy.” Proceedings of ASME Dynamics Systems and Control

KM Steele and S Lee (2014) “Using dynamic musculoskeletal simulation to evaluate altered muscle properties in cerebral palsy.” Proceedings of ASME Dynamics Systems and Control

Paper accepted at ASME Dynamics Systems and Control Conference:

Using dynamic musculoskeletal simulation to evaluate altered muscle properties in cerebral palsy

Abstract: Cerebral palsy is caused by an injury to the brain, but also causes many secondary changes in the musculoskeletal system. Altered muscle properties such as contracture, an increased passive resistance to stretch, are common but vary widely between individuals and between muscles. Quantifying these changes is important to understand pathologic movement and create patient-specific treatment plans. Musculoskeletal modeling and simulation have increasingly been used to evaluate pathologic movement in CP; however, these models are based upon muscle properties of unimpaired individuals. In this study, we used a dynamic musculoskeletal simulation of a simple motion, passively moving the ankle, to determine (1) if a model based upon unimpaired muscle properties can accurately represent individuals with cerebral palsy, and (2) if an optimization can be used to adjust passive muscle properties and characterize magnitude of contracture in individual muscles. We created musculoskeletal simulations of ankle motion for nine children with cerebral palsy. Results indicate that the unimpaired musculoskeletal model cannot accurately characterize passive ankle motion for most subjects, but adjusting tendon slack lengths can reduce error and help identify the magnitude of contracture for different muscles.