Validation of the estimated Effect of Ankle Foot Orthoses on Spinal Cord Injury Gait Using Subject-Adjusted Musculoskeletal Models.

Sergio Galindo-Leon, Inge Eriks-Hoogland, Kenji Suzuki, Diego Paez-Granados
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Abstract

Simulation of assistive devices on pathological gait through musculoskeletal models offers the potential and advantages of estimating the effect of the device in several biomechanical variables and the device characteristics ahead of manufacturing. In this study, we introduce a novel musculoskeletal modelling approach to simulate the biomechanical impact of ankle foot orthoses (AFO) on gait in individuals with spinal cord injury (SCI). Leveraging data from the Swiss Paraplegic Center, we constructed anatomically and muscularly scaled models for SCI-AFO users, aiming to predict changes in gait kinematics and kinetics. The importance of this work lies in its potential to enhance rehabilitation strategies and improve quality of life by enabling the pre-manufacturing assessment of assistive devices. Despite the application of musculoskeletal models in simulating walking aids effects in other conditions, no predictive model currently exists for SCI gait. Evaluation through RMSE showed similar results compared with other pathologies, simulation errors ranged between 0.23 to 2.3 degrees in kinematics. Moreover, the model was able to capture ankle joint muscular asymmetries and predict symmetry improvements with AFO use. However, the simulation did not reveal all the AFO effects, indicating a need for more personalized model parameters and optimized muscle activation to fully replicate orthosis effects on SCI gait.

使用受试者调整的肌肉骨骼模型验证踝足矫形器对脊髓损伤步态的估计效果。
通过肌肉骨骼模型模拟辅助装置对病理步态的影响,提供了在制造前估计设备在几个生物力学变量和设备特性方面的影响的潜力和优势。在这项研究中,我们引入了一种新的肌肉骨骼建模方法来模拟踝关节足矫形器(AFO)对脊髓损伤(SCI)患者步态的生物力学影响。利用瑞士截瘫中心的数据,我们为SCI-AFO使用者构建了解剖学和肌肉比例模型,旨在预测步态运动学和动力学的变化。这项工作的重要性在于,它有可能通过对辅助装置进行制造前评估来加强康复战略和改善生活质量。尽管肌肉骨骼模型用于模拟其他情况下的助行效果,但目前还没有针对脊髓损伤步态的预测模型。通过RMSE评估,与其他病理相比,结果相似,运动学模拟误差在0.23至2.3度之间。此外,该模型能够捕捉踝关节肌肉不对称,并预测使用AFO后对称性的改善。然而,模拟并没有揭示所有的AFO效应,这表明需要更多个性化的模型参数和优化的肌肉激活来完全复制矫形器对SCI步态的影响。
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