A real-time system for biomechanical analysis of human movement and muscle function.

A real-time system for biomechanical analysis of human movement and muscle function.
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DOI:
10.1007/s11517-013-1076-z
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发表时间:
2013-10
影响因子:
3.2
通讯作者:
Hardin, Elizabeth C.
Hardin, Elizabeth C.
中科院分区:
工程技术3区
文献类型:
--
作者:
van den Bogert, Antonie J.;Geijtenbeek, Thomas;Even-Zohar, Oshri;Steenbrink, Frans;Hardin, Elizabeth C.

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运动的力学分析在神经和骨科疾病的临床治疗中起着重要作用。人们越来越感兴趣的是实时执行运动分析,以便向治疗师和患者提供即时反馈。然而,到目前为止,这类工作仅限于单关节运动学和动力学。在这里,我们介绍了一个软件系统,称为人体模型(HBM),用于实时计算44个自由度的全身模型的关节运动学和动力学,并估计300个肌肉元素的长度变化和力。采用HBM对12名健康受试者步态过程中的肢体功能进行分析。在标准PC硬件上,处理速度超过每秒120个样本。关节角度和力矩在组内是一致的,并与文献中的其他研究一致。估计的肌肉力量模式在受试者中是一致的,并与肌电图定性一致,达到了生物力学模型所能预期的程度。实时分析被集成到D-Flow系统中,用于开发定制的实时反馈应用程序,并集成到步态实时分析交互实验室系统中,用于步态分析和步态再培训。本文的在线版本(doi:10.1007/s115170131076-z)包含补充材料,授权用户可以使用。
Mechanical analysis of movement plays an important role in clinical management of neurological and orthopedic conditions. There has been increasing interest in performing movement analysis in real-time, to provide immediate feedback to both therapist and patient. However, such work to date has been limited to single-joint kinematics and kinetics. Here we present a software system, named human body model (HBM), to compute joint kinematics and kinetics for a full body model with 44 degrees of freedom, in real-time, and to estimate length changes and forces in 300 muscle elements. HBM was used to analyze lower extremity function during gait in 12 able-bodied subjects. Processing speed exceeded 120 samples per second on standard PC hardware. Joint angles and moments were consistent within the group, and consistent with other studies in the literature. Estimated muscle force patterns were consistent among subjects and agreed qualitatively with electromyography, to the extent that can be expected from a biomechanical model. The real-time analysis was integrated into the D-Flow system for development of custom real-time feedback applications and into the gait real-time analysis interactive lab system for gait analysis and gait retraining. The online version of this article (doi:10.1007/s11517-013-1076-z) contains supplementary material, which is available to authorized users.
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