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个性化脑瘫儿童跖屈肌肌腱模型参数。

Personalisation of Plantarflexor Musculotendon Model Parameters in Children with Cerebral Palsy.

机构信息

Department of Rehabilitation Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands.

Amsterdam Movement Sciences, Rehabilitation & Development, Amsterdam, The Netherlands.

出版信息

Ann Biomed Eng. 2023 May;51(5):938-950. doi: 10.1007/s10439-022-03107-8. Epub 2022 Nov 15.

Abstract

Neuromusculoskeletal models can be used to evaluate aberrant muscle function in cerebral palsy (CP), for example by estimating muscle and joint contact forces during gait. However, to be accurate, models should include representative musculotendon parameters. We aimed to estimate personalised parameters that capture the mechanical behaviour of the plantarflexors in children with CP and typically developing (TD) children. Ankle angle (using motion capture), torque (using a load-cell), and medial gastrocnemius fascicle lengths (using ultrasound) were measured during slow passive ankle dorsiflexion rotation for thirteen children with spastic CP and thirteen TD children. Per subject, the measured rotation was input to a scaled OpenSim model to simulate the torque and fascicle length output. Musculotendon model parameters were personalised by the best match between simulated and experimental torque-angle and fascicle length-angle curves according to a least-squares fit. Personalised tendon slack lengths were significantly longer and optimal fibre lengths significantly shorter in CP than model defaults and than in TD. Personalised tendon compliance was substantially higher in both groups compared to the model default. The presented method to personalise musculotendon parameters will likely yield more accurate simulations of subject-specific muscle mechanics, to help us understand the effects of altered musculotendon properties in CP.

摘要

神经肌肉骨骼模型可用于评估脑瘫(CP)患者异常的肌肉功能,例如通过估计步态过程中的肌肉和关节接触力。然而,为了准确起见,模型应包括具有代表性的肌肉肌腱参数。我们旨在估计个性化参数,以捕捉 CP 患儿和正常发育(TD)儿童的足底屈肌的机械行为。在 13 名痉挛性 CP 患儿和 13 名 TD 儿童进行缓慢被动踝关节背屈旋转时,测量了踝关节角度(使用运动捕捉)、扭矩(使用负载细胞)和内侧腓肠肌肌腱束长度(使用超声)。根据最小二乘法拟合,针对每个受试者,将测量的旋转输入到缩放的 OpenSim 模型中,以模拟扭矩和肌腱束长度输出。根据模拟和实验扭矩-角度和肌腱束长度-角度曲线的最佳匹配,对肌肉肌腱模型参数进行了个性化处理。与模型默认值和 TD 相比,CP 患者的个性化肌腱松弛长度明显更长,最佳纤维长度明显更短。与模型默认值相比,两组的个性化肌腱顺应性都显著更高。个性化肌肉肌腱参数的方法可能会产生更准确的特定于主体的肌肉力学模拟,以帮助我们了解 CP 中改变的肌肉肌腱特性的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7a4/10122634/8140b9cc450a/10439_2022_3107_Fig1_HTML.jpg

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