Simulation framework to develop ankle exoskeleton gait assistance for older adults

为老年人开发踝关节外骨骼步态辅助的模拟框架

• 批准号: 10609545
• 负责人: Seungmoon Song
• 金额: $ 24.27万
• 依托单位: NORTHEASTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10609545
• 关键词: Adult; Advisory Committees; Affect; Age; Aging; Ankle; Behavior; Biomechanics; Cessation of life; Clinical; Computer Simulation; Computer software; Consumption; Data; Development; Elderly; Energy consumption; Engineering; Environment; Evaluation; Fall prevention; Future; Gait; Gerontology; Goals; Human; Impairment; Intervention; Joints; Knee Osteoarthritis; Knowledge; Laboratories; Literature; Locomotion; Measures; Mechanics; Mentors; Metabolic; Modeling; Morbidity - disease rate; Motion; Movement; Muscle; Musculoskeletal; Musculoskeletal Diseases; Musculoskeletal Physiology; Neurologic Gait Disorders; Neuromechanics; Operative Surgical Procedures; Orthotic Devices; Outcome; Pain; Pathology; Patients; Performance; Phase; Physical activity; Population; Process; Research; Research Personnel; Robotics; Science; Self-Help Devices; Speed; Testing; Torque; Training; Trauma; United States National Institutes of Health; Universities; Validation; Walking; Work; active lifestyle; computer cluster; environmental change; exoskeleton; experience; experimental study; falls; functional independence; functional loss; human subject; improved; improved mobility; innovation; member; metabolic rate; models and simulation; motor control; motor rehabilitation; multidisciplinary; open source; outcome prediction; pain reduction; powered exoskeleton; rehabilitation engineering; simulation; walking speed; young adult

Project Summary / Abstract The candidate's long-term objective is to enable optimal and customized intervention to improve mobility. Mo- bility is an essential physical activity for maintaining an active lifestyle and functional independence and is a common issue for older adults, where musculoskeletal diseases are the leading cause of mobility limitations. While robotic orthoses, or exoskeletons, promise to improve mobility, the progress in research is slow as eval- uation on the outcome of gait assistance currently requires extensive experiments with human subjects. In this project, the candidate proposes to develop a computer simulation framework that can predict the gait dynamics and performance of different ankle-exoskeleton assistances. The study will develop and evaluate how ankle- exoskeleton assistance affects metabolic energy consumption, walking speed, and pain during walking in healthy young and older adults as well as in older adults with knee osteoarthritis. The candidate will develop the simulation framework based on a computational neuromechanical human locomotion model he has previ- ously developed, and collect human gait data using an ankle-exoskeleton emulator developed in his laboratory to validate the predictions of the framework. In addition to the simulation framework, the study will deliver an- kle-exoskeleton strategies that can effectively assist healthy young and older adults and those with knee osteo- arthritis to walk more efficiently, fast, and with less pain. During the K99 phase, the candidate will receive train- ing in the Department of Mechanical Engineering at Stanford University. The mentoring team consists of four experts who can provide training in experimental human biomechanics, computer simulation of human move- ment, musculoskeletal diseases in older adults, and gerontology. An advisory committee with three members will provide additional expertise in optimality principles in human motion, and in non-clinical needs and surgical trauma in the senior population. The training will prepare the candidate to become a leading independent in- vestigator in the multidisciplinary fields of motor control and rehabilitation engineering, who produces theoreti- cal and clinical impacts on improving mobility.

项目概要/摘要 候选人的长期目标是实现最佳和定制的干预以改善流动性。莫- 能力是维持积极的生活方式和功能独立性的重要身体活动，并且是 这是老年人的常见问题，肌肉骨骼疾病是导致行动受限的主要原因。 虽然机器人矫形器或外骨骼有望改善活动能力，但研究进展缓慢，因为评估 目前对步态辅助结果的评估需要对人类受试者进行广泛的实验。在这个 项目中，候选人提出开发一个可以预测步态动态的计算机模拟框架 以及不同踝关节外骨骼辅助装置的性能。该研究将开发并评估脚踝如何 外骨骼辅助会影响代谢能量消耗、行走速度和行走时的疼痛 健康的年轻人和老年人以及患有膝骨关节炎的老年人。候选人将发展 基于计算神经力学人体运动模型的模拟框架，他之前拥有 精心开发，并使用他实验室开发的踝外骨骼模拟器收集人类步态数据 验证框架的预测。除了模拟框架之外，该研究还将提供 kle-外骨骼策略可以有效地帮助健康的年轻人和老年人以及膝骨关节炎患者 关节炎患者可以更有效、更快且更少疼痛地行走。在K99阶段，候选人将接受培训- 就读于斯坦福大学机械工程系。导师团队由四人组成 可以提供实验人体生物力学、人体运动计算机模拟培训的专家 心理、老年人肌肉骨骼疾病和老年学。由三名成员组成的顾问委员会 将提供人体运动优化原则以及非临床需求和外科手术方面的更多专业知识 老年人群中的创伤。培训将使候选人做好成为领先的独立专家的准备 运动控制和康复工程多学科领域的研究人员，他产生了理论 对改善活动能力的钙和临床影响。