EMG-Driven Optimal Estimation of Subject-SPECIFIC Hill Model Muscle-Tendon Parameters of the Knee Joint Actuators

被引：58
作者：
Falisse, Antoine [1 ]
Van Rossom, Sam [2 ]
Jonkers, Ilse [2 ]
De Groote, Friedl [2 ]
机构：
[1] Katholieke Univ Leuven, Dept Kinesiol, B-3001 Leuven, Belgium
[2] Katholieke Univ Leuven, Dept Kinesiol, Leuven, Belgium
来源：
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2017年 / 64卷 / 09期
关键词：
Hill model; musculoskeletal modeling; optimal control; parameter estimation; parameter identification; MUSCULOTENDON PARAMETERS; LOWER-EXTREMITY; LOWER-LIMB; SENSITIVITY; OPTIMIZATION; MOMENTS; FORCES; GAIT; PREDICTIONS; SIMULATION;
D O I：
10.1109/TBME.2016.2630009
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Objective: the purpose of this paper is to propose an optimal control problem formulation to estimate subject-specific Hill model muscle-tendon (MT-) parameters of the knee joint actuators by optimizing the fit between experimental and model-based knee moments. Additionally, this paper aims at determining which sets of functional motions contain the necessary information to identify the MT-parameters. Methods: the optimal control and parameter estimation problem underlying the MT-parameter estimation is solved for subject-specific MT-parameters via direct collocation using an electromyography-driven musculoskeletal model. The sets of motions containing sufficient information to identify the MT-parameters are determined by evaluating knee moments simulated based on subject-specific MT-parameters against experimental moments. Results: the MT-parameter estimation problem was solved in about 30 CPU minutes. MT-parameters could be identified from only seven of the 62 investigated sets of motions, underlining the importance of the experimental protocol. Using subject-specific MT-parameters instead of more common linearly scaled MT-parameters improved the fit between inverse dynamics moments and simulated moments by about 30% in terms of the coefficient of determination (from 0.57 +/- 0.20 to 0.74 +/- 0.14) and by about 26% in terms of the root mean square error (from 15.98 +/- 6.85 to 11.85 +/- 4.12 N . m). In particular, subject-specific MT-parameters of the knee flexors were very different from linearly scaled MT-parameters. Conclusion: we introduced a computationally efficient optimal control problem formulation and provided guidelines for designing an experimental protocol to estimate subject-specific MT-parameters improving the accuracy of motion simulations. Significance: the proposed formulation opens new perspectives for subject-specific musculoskeletal modeling, which might be beneficial for simulating and understanding pathological motions.
引用
收藏
页码：2253 / 2262
页数：10
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