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OpenSim Enhancements to Enable Computational Design of Personalized Treatments for Movement Impairments

OpenSim 增强功能可实现针对运动障碍的个性化治疗的计算设计

基本信息

批准号：
10297893
负责人：
BENJAMIN J FREGLY
金额：
$ 62.51万
依托单位：
RICE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-06 至 2025-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10297893
关键词：
Address Adoption Adult Affect Aftercare American Amputation Anatomy Applications Grants Automobiles Biomechanics Biomedical Engineering Cerebral Palsy Clinical Collaborations Communities Computer Models Computer Simulation Computer software Computers Data Data Set Degenerative polyarthritis Development Devices Diabetes Mellitus Doctor of Philosophy Engineering Evaluation Funding Generations Goals Health Healthcare Heart Diseases Human Impairment Implant Individual Intervention Joints Judgment Laws Learning Malignant Neoplasms Metabolic Methods Modeling Movement Muscle Musculoskeletal Operative Surgical Procedures Orthopedics Parkinson Disease Participant Patients Physics Physiology Population Process Productivity Quality of life Recovery Rehabilitation therapy Research Research Personnel Research Project Grants Risk Scientist Series Societies Software Tools Speed Spinal cord injury Stroke Structure Study Subject Technology Testing Traumatic Brain Injury United States National Institutes of Health Walking base clinical practice community engaged research cost design disability evidence base exoskeleton flexibility foot functional outcomes graphical user interface improved innovation interdisciplinary approach limb amputation model development models and simulation motor impairment neuromusculoskeletal neuroregulation personalized intervention personalized medicine physical therapist post stroke prevent prototype skeletal societal costs software development symposium therapy design tool treadmill training treatment optimization virtual virtual model virtual patient

项目摘要

Abstract Osteoarthritis, stroke, spinal cord injury, traumatic brain injury, and amputation affect roughly 19% of the U.S. adult population, with osteoarthritis and stroke being leading causes of serious long-term disability in adults worldwide. Along with other conditions such as cerebral palsy, Parkinson's disease, and orthopedic cancer, these conditions often significantly impair movement, resulting in substantial societal costs, an increased risk of other serious health conditions (e.g., heart disease and diabetes), a reduction or even loss of independence, and a decreased quality of life. Despite the significance of the problem and the uniqueness of each patient, treatment design for movement impairments has not progressed substantially beyond off-the-shelf interventions selected based on subjective clinical judgment. If affected individuals are to recover the most function possible, a paradigm shift is needed toward personalized interventions designed using objective evidence-based methods. This project seeks to develop innovative software technology that will allow engineers working in collaboration with clinicians to design effective personalized interventions for movement impairments using objective physics-based computer models. The software technology will employ the same computer modeling and simulation methods that have revolutionized the design of airplanes and automobiles over the past 25 years. The proposed software will create a virtual representation of the patient and then apply virtual treatments to the virtual patient to identify the treatment design that is most likely to maximize recovery of lost function. Virtual patient models will obey laws of physics and principles of physiology to reflect how the patient moves before treatment and predict how the patient will move after treatment. To enable fast and easy construction of patient models and optimization of patient functional outcomes, the software technology will be incorporated into the NIH-funded OpenSim software for modeling and simulation of human movement. To support development and adoption of the proposed software, the project will also use the software to design personalized interventions for three individuals post-stroke with impaired, asymmetric walking function. The research team will organize a three-year “Stroke Grand Challenge Competition,” held each year at the same professional conference, to engage the research community in model-based personalized treatment design. An extensive human movement data set will be collected from each subject to be used for constructing a virtual model of the subject. Competing research teams will use the software and the subject's virtual model to design personalized treatments that improve the subject's walking symmetry. In addition, the research team will use the new software to develop its own personalized intervention designs for the same subjects. Any clinically promising interventions identified by either competition participants or the research team will be implemented on the same subjects in a follow-on project to evaluate their efficacy.

摘要