Computer simulation has revolutionized science and engineering. The PIs propose to establish a National Center for Simulation in Rehabilitation Research to bring the power of simulation to medical rehabilitation. The Center will provide robust tools for simulating human motion, enabling investigators to answer clinical questions that cannot be solved with experimental studies alone. Hundreds of scientists affiliated with the Center will focus on critical areas of rehabilitation, including stroke, spinal cord injury, cerebral palsy, osteoarthritis, prosthetics, orthotics, and sports medicine. The PIs will pursue the following specific aims. 1. Develop and disseminate advanced technology for the simulation of musculoskeletal dynamics and accelerate its appropriate use in rehabilitation research. 2. Award seed grants to innovative and meritorious pilot projects that employ simulation tools to identify the mechanisms underlying movement disorders and improve the efficacy of rehabilitation. 3. Attract and train 20 talented scholars from computer science, biomechanics, physical therapy and other fields to become experts in simulation and the needs of individuals with disabilities. 4. Teach over 300 rehabilitation scientists to create and test biomechanical simulations and correctly interpret their results during intensive multi-day workshops. 5. Introduce over 1000 rehabilitation specialists to the value and limitations of musculoskeletal simulation through hands-on training at national and international conferences. 6. Create web-based tutorials, lectures, and a formal textbook to promote the appropriate use of simulation in rehabilitation research. The development and dissemination of open source software for the rehabilitation community addresses a critical barrier to progress in the field. The software will be designed in close partnership with rehabilitation scientists and physicians to address critical, clinically motivated questions across the spectrum of medical rehabilitation. There is a rapidly growing community of rehabilitation scientists eager to engage in this project;thus, the timing for establishing this core resource is excellent.

Public Health Relevance

This project will develop state-of-the-art simulation software and train rehabilitation researchers to create highly accurate simulations of human movement that can be used to improve treatment for individuals with physical disabilities. Hundreds of researchers will contribute their specialized expertise in muscle biology, neuroscience, bioengineering, computer science, and rehabilitation to identify the mechanisms by which physical impairments limit participation and provide a scientific basis for improving function.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Resource-Related Research Projects (R24)
Project #
5R24HD065690-05
Application #
8676833
Study Section
Special Emphasis Panel ()
Program Officer
Nitkin, Ralph M
Project Start
2010-08-15
Project End
2015-05-31
Budget Start
2014-06-01
Budget End
2015-05-31
Support Year
5
Fiscal Year
2014
Total Cost
$830,677
Indirect Cost
$311,504
Name
Stanford University
Department
Biomedical Engineering
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Uchida, Thomas K; Seth, Ajay; Pouya, Soha et al. (2016) Simulating Ideal Assistive Devices to Reduce the Metabolic Cost of Running. PLoS One 11:e0163417
Uchida, Thomas K; Hicks, Jennifer L; Dembia, Christopher L et al. (2016) Stretching Your Energetic Budget: How Tendon Compliance Affects the Metabolic Cost of Running. PLoS One 11:e0150378
van der Krogt, Marjolein Margaretha; Bar-On, Lynn; Kindt, Thalia et al. (2016) Neuro-musculoskeletal simulation of instrumented contracture and spasticity assessment in children with cerebral palsy. J Neuroeng Rehabil 13:64
Seth, Ajay; Matias, Ricardo; Veloso, António P et al. (2016) A Biomechanical Model of the Scapulothoracic Joint to Accurately Capture Scapular Kinematics during Shoulder Movements. PLoS One 11:e0141028
Ong, Carmichael F; Hicks, Jennifer L; Delp, Scott L (2016) Simulation-Based Design for Wearable Robotic Systems: An Optimization Framework for Enhancing a Standing Long Jump. IEEE Trans Biomed Eng 63:894-903
Lerner, Zachary F; DeMers, Matthew S; Delp, Scott L et al. (2015) How tibiofemoral alignment and contact locations affect predictions of medial and lateral tibiofemoral contact forces. J Biomech 48:644-50
Hicks, Jennifer L; Uchida, Thomas K; Seth, Ajay et al. (2015) Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. J Biomech Eng 137:020905
Wisdom, Katrina M; Delp, Scott L; Kuhl, Ellen (2015) Use it or lose it: multiscale skeletal muscle adaptation to mechanical stimuli. Biomech Model Mechanobiol 14:195-215
Dorn, Tim W; Wang, Jack M; Hicks, Jennifer L et al. (2015) Predictive simulation generates human adaptations during loaded and inclined walking. PLoS One 10:e0121407
Silder, Amy; Besier, Thor; Delp, Scott L (2015) Running with a load increases leg stiffness. J Biomech 48:1003-8

Showing the most recent 10 out of 31 publications