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一种全新的肌肉骨骼AnyBody™详细手部模型。

A new musculoskeletal AnyBody™ detailed hand model.

作者信息

Engelhardt Lucas, Melzner Maximilian, Havelkova Linda, Fiala Pavel, Christen Patrik, Dendorfer Sebastian, Simon Ulrich

机构信息

Scientific Computing Centre Ulm (UZWR), Ulm University, Ulm, Germany.

Laboratory for Biomechanics, Ostbayerische Technische Hochschule (OTH) Regensburg, Regensburg, Germany.

出版信息

Comput Methods Biomech Biomed Engin. 2020 Dec 10:1-11. doi: 10.1080/10255842.2020.1851367.

Abstract

Musculoskeletal research questions regarding the prevention or rehabilitation of the hand can be addressed using inverse dynamics simulations when experiments are not possible. To date, no complete human hand model implemented in a holistic human body model has been fully developed. The aim of this work was to develop, implement, and validate a fully detailed hand model using the AnyBody Modelling System (AMS) (AnyBody, Aalborg, Denmark). To achieve this, a consistent multiple cadaver dataset, including all extrinsic and intrinsic muscles, served as a basis. Various obstacle methods were implemented to obtain with the correct alignment of the muscle paths together with the full range of motion of the fingers. These included tori, cylinders, and spherical ellipsoids. The origin points of the lumbrical muscles within the tendon of the flexor digitorum profundus added a unique feature to the model. Furthermore, the possibility of an entire patient-specific scaling based on the hand length and width were implemented in the model. For model validation, experimental datasets from the literature were used, which included the comparison of numerically calculated moment arms of the wrist, thumb, and index finger muscles. In general, the results displayed good comparability of the model and experimental data. However, the extrinsic muscles showed higher accordance than the intrinsic ones. Nevertheless, the results showed, that the proposed developed inverse dynamics hand model offers opportunities in a broad field of applications, where the muscles and joint forces of the forearm play a crucial role.

摘要

当无法进行实验时,可以使用逆动力学模拟来解决有关手部预防或康复的肌肉骨骼研究问题。迄今为止,尚未完全开发出在整体人体模型中实现的完整人体手部模型。这项工作的目的是使用AnyBody建模系统(AMS)(丹麦奥尔堡的AnyBody公司)开发、实现并验证一个详细的手部模型。为了实现这一目标,一个包含所有外在和内在肌肉的一致的多尸体数据集作为基础。实施了各种障碍物方法,以获得肌肉路径的正确对齐以及手指的全范围运动。这些方法包括圆环、圆柱体和球形椭球体。指深屈肌腱内蚓状肌的起点为该模型增添了独特特征。此外,该模型还实现了基于手长和手宽进行整个患者特定缩放的可能性。为了验证模型,使用了文献中的实验数据集,其中包括对腕部、拇指和食指肌肉的数值计算力臂的比较。总体而言,结果显示模型与实验数据具有良好的可比性。然而,外在肌肉的一致性高于内在肌肉。尽管如此,结果表明,所提出的逆动力学手部模型在广泛的应用领域中提供了机会,在前臂的肌肉和关节力起着关键作用的领域。

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