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All Topics > Biocomputational Focus > Physics-Based Simulation |
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13 projects in result set.
Are subject-specific musculoskeletal models robust to parameter identification?
- This study analyzed the sensitivity of the predictions of an MRI-based musculoskeletal model (i.e., joint angles, joint moments, muscle and joint contact forces) during walking to the unavoidable uncertainties in parameter identification, i.e., body landmark positions, maximum muscle tension and musculotendon geometry. To this aim, we created an MRI-based musculoskeletal model of the lower limbs, defined as a 7-segment, 10-degree-of-freedom articulated linkage, actuated by 84 musculotendon units. We then performed a Monte-Carlo probabilistic analysis perturbing model parameters according to their uncertainty, and solving a typical inverse dynamics and static optimization problem using 500 models that included the different sets of perturbed variable values. Model creation and gait simulations were performed by using freely available software that we developed to standardize the process of model creation, integrate with OpenSim and create probabilistic simulations of movement. | |
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Activity Percentile: 92.80 Registered: 2014-11-10 15:19 |
Computational Methods in Cardiovascular
Bioengineering Course (BioE484)
- This research PhD-level class was taught during Spring 2007 by Alberto Figueroa, from the Taylor lab. For their final project, students were organized into five teams and each team worked on a different cardiovascular research project.
The basic research tool the students used is the software SimVascular, which is a Cardiovascular Modeling and Simulation
application currently in the process of being open-sourced through http://Simbios.stanford.edu. This project presents a summary of the final projects. All presentations were taped and made available from the download section on the left menu. | |
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Registered: 2007-06-15 17:20 |
CoBi Core Models, Data, Training Materials
- This project contains a variety of materials from Computational Biomodeling (CoBi) Core of the Cleveland Clinic, relevant to physics-based simulation of the biomechanical system. These may include various published/unpublished models, data, and training material generated through various small projects. | |
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Registered: 2010-10-07 13:09 |
Easy-to-use interactive musculoskeletal simulations and curriculum (OpenSim).
- This project brings "life" to the physical sciences. Its curriculum and simulations are correlated with National and State Standards for Physics and the Physical Sciences and helps high-school, college, and professionals combine biology with physics. | |
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Activity Percentile: 60.23 Registered: 2010-08-28 02:06 |
Data for Exacycle GPCR paper on cloud-based simulations
- This project provides links to the GPCR trajectory data used for the analysis in the paper on cloud-based simulations on Google Exacycle. The data is available for download and can be used freely by anyone. | |
Activity Percentile: 45.83 Registered: 2013-12-13 19:27 |
Enhanced Model Assembly for Intervertebral Reaction Force Prediction
- This project provides a model, supplementary files, and corresponding documentation for the prediction of intervertebral joint reaction forces. | |
Activity Percentile: 39.02 Registered: 2015-01-28 20:18 |
Extendable OpenSim-Matlab Infrastructure Using Class Oriented C++ Mex Interface
- The objective of this project is to provide an alternative interface between OpenSim and Matlab®, based on an extended C++ mex interface. Despite the fact that there is a user friendly OpenSim interface for Matlab, it lacks the ability to extend new functionalities based on the Java API (e.g. custom controller). Inspired by the relative project “Dynamic Simulation of Movement Based on OpenSim and MATLAB®/Simulink®”, where the user can easily interface OpenSim with Simulink, the proposed framework moves one step further by providing new capabilities to link custom written C++ OpenSim extensions to Matlab and to harvest both the powerful OpenSim C++ API and Matlab functionalities. The implementation is based on Matlab mex interface, which is further extended to support more complex functionalities based on the project mexplus. The latter is a C++ Matlab mex development kit that contains a couple of C++ classes and macros to make mex development easy in Matlab.
An example project is provided in the download section with instructions on how-to use. | |
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Activity Percentile: 22.73 Registered: 2015-09-28 14:09 |
Biosimulation Education and Training
- Biosimulation education and training resources for Neuromuscular Biomechanics, RNA folding, Cardiovascular Dynamics, and Myosin Dynamics.
Course material can be found by clicking the documents link on the left menu. | |
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Activity Percentile: 0.00 Registered: 2006-08-02 20:35 |
Sam's Simulations
- This project is intended to serve as a repository for software developed for physics-based simulation of human motion, as part of the work in the Neuromuscular Biomechanics Lab. | |
Activity Percentile: 0.00 Registered: 2007-09-28 18:32 |
IMAG/MSM Biomechanics Working Group (Demo)
- <iframe width="560" height="315" src="https://www.youtube.com/embed/n_3vxZMtae0" frameborder="0" allowfullscreen></iframe>
<i>Example of multiscale modeling in biomechanics</i>
<b>Goals and Objectives</b>
Through interactions within members and with other working groups, the goals of the Biomechanics Working Group are:
• to establish a cross-discipline discussion platform for multiscale modeling and analysis issues in the general area of biomechanics
• to identify computational infrastructure needs for multiscale biomechanical simulations
• to establish pathways for experimental data and validation to support multiscale modeling and simulation in biomechanics
• to increase awareness to the role of multiscale analysis in biomechanics and simulation-based medicine
• to promote the role of dissemination to accelerate multiscale analysis in biomechanics
<b>History</b>
The Biomechanics Working Group has started in November 2010 following working group related discussions at the <a href="http://nibibwiki2.nih.gov/mediawiki/index.php?title=2010_MSM_CONSORTIUM_MEETING">2010 MSM CONSORTIUM MEETING</a>. Founding co-leads of the working group were Jay Humphrey of Yale University and Ahmet Erdemir of Cleveland Clinic. The working group inherited the <a href="http://nibibwiki2.nih.gov/mediawiki/index.php?title=Working_Group_6">Working Group 6 - Tissue Mechanics</a>, which was started by Trent Guess of University of Missouri, Kansas City.
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Registered: 2007-10-09 17:52 |
ACL Reconstruction Decision Support Through Personalized Simulation of the Lachm
- The objective of the proposed approach is to develop a clinical decision support system (DSS) that will help clinicians optimally plan the ACL reconstruction procedure in a patient specific manner.
Methods: A full body model is developed in this study with 23 degrees of freedom and 93 muscles. The knee ligaments are modeled as non-linear spring-damper systems and a tibiofemoral contact model was utilized. The parameters of the ligaments were calibrated based on an optimization criterion. Forward dynamics were utilized during simulation for predicting the model’s response to a given set of external forces, posture configuration and physiological parameters.
Results: The proposed model is quantified using MRI scans and measurements of the well-known Lachman test, on several patients with a torn ACL. The clinical potential of the proposed framework is demonstrated in the context of flexion-extension, gait and jump actions. The clinician is able to modify and fine tune several parameters such as number of bundles, insertion position on the tibia or femur and the resting length that correspond to the choices of the surgical procedure and study their effect on the biomechanical behavior of the knee.
Conclusion: Computational knee models can be used to predict the effect of surgical decisions and to give insight on how different parameters can affect the stability of the knee. Special focus has to be given in proper calibration and experimental validation.
<iframe width="560" height="315" src="https://www.youtube.com/embed/zgcq0c5_w3c" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe> | |
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Activity Percentile: 0.00 Registered: 2015-08-31 08:55 |
The Osteoporotic Virtual Physiological Human
- Nearly four million osteoporotic bone fractures cost the European health system more than 30 billion Euro per year. This figure could double by 2050. After the first fracture, the chances of having another one increase by 86%. We need to prevent osteoporotic fractures. The first step is an accurate prediction of the patient-specific risk of fracture that considers not only the
skeletal determinants but also the neuromuscular condition. The aim of VPHOP is to develop a multiscale modelling technology based on conventional diagnostic imaging methods that makes it possible, in a clinical setting, to predict for each patient the strength of his/her bones, how this strength is likely to change over time, and the probability that the he/she will overload his/her bones during daily life. With these three predictions, the evaluation of the
absolute risk of bone fracture will be much more accurate than any prediction based on
external and indirect determinants, as it is current clinical practice. These predictions will be used to: i) improve the diagnostic accuracy of the current clinical standards; ii) to provide the basis for an evidence-based prognosis with respect to the natural evolution of the disease, to pharmacological treatments, and/or to preventive interventional treatments aimed to selectively strengthen particularly weak regions of the skeleton. For patients at high risk of fracture, and for which the pharmacological treatment appears insufficient, the VPHOP system will also assist the interventional radiologist in planning the augmentation procedure.
The various modelling technologies developed during the project will be validated not only in vitro, on animal models, or against retrospective clinical outcomes, but will also be assessed in term of clinical impact and safety on small cohorts of patients enrolled at four different clinical institutions, providing the factual basis for effective clinical and industrial exploitations. | |
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Registered: 2010-03-08 08:57 |
Mobilize Center Planning
- Enables coordination, collaboration, and planning for the Mobilize Center | |
Registered: 2014-09-02 17:48 |