基于自定义正向预测模拟的腓骨肌综合征患者外骨骼辅助优化。

IF 1.6 4区医学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer Methods in Biomechanics and Biomedical Engineering Pub Date : 2025-10-05 DOI:10.1080/10255842.2025.2566963

Yiying Peng, Fengchao Zhang, Liping Wang, Jianda Han, Juanjuan Zhang

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引用次数: 0

摘要

夏尔克-玛丽-图斯病（CMT）导致步态异常，如足下垂。虽然动力矫形器可以提供帮助，但它们的效果各不相同。本研究使用定制肌肉骨骼模型的正向预测模拟优化了CMT患者的踝关节扭矩辅助。来自患者的步态数据为模型定制提供了信息，提高了仿真精度。应用于患者特定模型的优化的辅助扭矩曲线，与正常行走相比，模拟代谢成本降低了9.9%，并显着降低了比目鱼肌和腓肠肌的活动。该模拟框架为CMT患者的外骨骼辅助和辅助装置的设计提供了指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Exoskeleton assistance optimization for Charcot-Marie-Tooth patients based on customized forward predictive simulation.

Charcot-Marie-Tooth (CMT) disease causes gait abnormalities like foot-drop. While powered orthoses can assist, their effectiveness varies. This study optimized ankle torque assistance for CMT patients using forward predictive simulation with customized musculoskeletal models. Gait data from patients informed model customization, improving simulation accuracy. The optimized assistive torque profile, applied to a patient-specific model, reduced simulated metabolic cost by 9.9% compared to normal walking and significantly decreased soleus and gastrocnemius activity. This simulation framework provides guidance for exoskeleton assistance and the design of assistive devices for CMT patients.

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来源期刊

Computer Methods in Biomechanics and Biomedical Engineering 工程技术-工程：生物医学

CiteScore

4.10

自引率

6.20%

发文量

179

审稿时长

4-8 weeks

期刊介绍： The primary aims of Computer Methods in Biomechanics and Biomedical Engineering are to provide a means of communicating the advances being made in the areas of biomechanics and biomedical engineering and to stimulate interest in the continually emerging computer based technologies which are being applied in these multidisciplinary subjects. Computer Methods in Biomechanics and Biomedical Engineering will also provide a focus for the importance of integrating the disciplines of engineering with medical technology and clinical expertise. Such integration will have a major impact on health care in the future.