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使用基于节段的肌肉骨骼模型预测日常生活常见活动中的髋关节接触力。

Prediction of hip contact forces during common activities of daily living using a segment-based musculoskeletal model.

作者信息

Amiri Pouya, Bull Anthony M J

机构信息

Department of Bioengineering, Imperial College London, London, United Kingdom.

出版信息

Front Bioeng Biotechnol. 2022 Dec 15;10:995279. doi: 10.3389/fbioe.2022.995279. eCollection 2022.

Abstract

Quantifying hip muscle and contact forces during activities of daily living (ADL) provides valuable information for diagnosis and treatment of hip-related disorders. The objective of this study was to utilize Freebody, a segment-based musculoskeletal model, for the prediction of hip contact forces using a novel objective function during seven common ADLs and validate its performance against the publicly available HIP98 dataset. Marker data, ground reaction forces, and hip contact forces during slow, normal, and fast walking, stair ascent and descent, and standing up and sitting down were extracted for 3 subjects from the HIP98 dataset. A musculoskeletal anatomical dataset was scaled to match the dimensions of each subject, and muscle and hip contact forces were estimated by minimizing a novel objective function, which was the summation of the muscle stresses squared and body weight-normalised hip contact force. The accuracy of predictions were quantified using several metrics, and muscle forces were qualitatively compared to experimental EMGs in the literature. FreeBody predicted the hip contact forces during the ADLs with encouraging accuracy: The root mean squared error of predictions were 44.0 ± 8.5, 47.4 ± 6.5, and 59.8 ± 7.1% BW during slow, normal, and fast walking, 44.2 ± 16.8% and 53.3 ± 12.2% BW for stair ascent and descent, and 31.8 ± 8.2% and 17.1 ± 5.0% BW for standing up and sitting down, respectively. The error in prediction of peak hip contact forces were 14-18%, 24-28%, 17-35% for slow, normal, and fast walking, 7-25% and 15-32% in stair ascent and descent, and around 10% for standing up and sitting down. The coefficient of determination was larger than 0.90 in all activities except in standing up (0.86 ± 0.08). This study has implemented a novel objective function in a segment-based musculoskeletal model, FreeBody, for the prediction of hip contact forces during a large range of ADLs. The model outputs compare favourably for all ADLs and are the best in standing up and sitting down, while muscle activation patterns are consistent with experimental EMGs from literature. This new objective function addresses one of the major limitations associated with musculoskeletal models in the literature, namely the high non-physiological predicted hip joint contact forces.

摘要

量化日常生活活动(ADL)期间的髋部肌肉和接触力可为髋部相关疾病的诊断和治疗提供有价值的信息。本研究的目的是利用基于节段的肌肉骨骼模型Freebody,通过一种新颖的目标函数预测七种常见ADL期间的髋部接触力,并根据公开可用的HIP98数据集验证其性能。从HIP98数据集中提取了3名受试者在慢走、正常行走和快走、上楼梯和下楼梯以及站立和坐下过程中的标记数据、地面反作用力和髋部接触力。对肌肉骨骼解剖数据集进行缩放以匹配每个受试者的尺寸,并通过最小化一个新颖的目标函数来估计肌肉和髋部接触力,该目标函数是肌肉应力平方和体重归一化髋部接触力的总和。使用多种指标对预测的准确性进行量化,并将肌肉力与文献中的实验肌电图进行定性比较。FreeBody预测ADL期间的髋部接触力具有令人鼓舞的准确性:在慢走、正常行走和快走期间,预测的均方根误差分别为44.0±8.5、47.4±6.5和59.8±7.1%体重,上楼梯和下楼梯时分别为44.2±16.8%和53.3±12.2%体重,站立和坐下时分别为31.8±8.2%和17.1±5.0%体重。髋部接触力峰值预测的误差在慢走、正常行走和快走时分别为14 - 18%、24 - 28%、17 - 35%,上楼梯和下楼梯时为7 - 25%和15 - 32%,站立和坐下时约为10%。除站立(0.86±0.08)外,所有活动中的决定系数均大于0.90。本研究在基于节段的肌肉骨骼模型Freebody中实现了一种新颖的目标函数,用于预测大范围ADL期间的髋部接触力。该模型在所有ADL中的输出都比较理想,在站立和坐下时表现最佳,同时肌肉激活模式与文献中的实验肌电图一致。这种新的目标函数解决了文献中与肌肉骨骼模型相关的一个主要局限性,即预测的髋关节接触力具有高度非生理性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c33/9797521/559298ae8365/fbioe-10-995279-g001.jpg

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