Dixon Philippe C, Loh Jonathan J, Michaud-Paquette Yannick, Pearsall David J
Department of Environmental Health, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02215, + 1 (617) 495-1000, USA; Liberty Mutual Research Institute for Safety, Hopkinton, MA, USA. Electronic address: http://www.biomechzoo.com.
Medicus Corda, Montreal, Canada.
Comput Methods Programs Biomed. 2017 Mar;140:1-10. doi: 10.1016/j.cmpb.2016.11.007. Epub 2016 Nov 18.
It is common for biomechanics data sets to contain numerous dependent variables recorded over time, for many subjects, groups, and/or conditions. These data often require standard sorting, processing, and analysis operations to be performed in order to answer research questions. Visualization of these data is also crucial. This manuscript presents biomechZoo, an open-source toolbox that provides tools and graphical user interfaces to help users achieve these goals. The aims of this manuscript are to (1) introduce the main features of the toolbox, including a virtual three-dimensional environment to animate motion data (Director), a data plotting suite (Ensembler), and functions for the computation of three-dimensional lower-limb joint angles, moments, and power and (2) compare these computations to those of an existing validated system. To these ends, the steps required to process and analyze a sample data set via the toolbox are outlined. The data set comprises three-dimensional marker, ground reaction force (GRF), joint kinematic, and joint kinetic data of subjects performing straight walking and 90° turning manoeuvres. Joint kinematics and kinetics processed within the toolbox were found to be similar to outputs from a commercial system. The biomechZoo toolbox represents the work of several years and multiple contributors to provide a flexible platform to examine time-series data sets typical in the movement sciences. The toolbox has previously been used to process and analyse walking, running, and ice hockey data sets, and can integrate existing routines, such as the KineMat toolbox, for additional analyses. The toolbox can help researchers and clinicians new to programming or biomechanics to process and analyze their data through a customizable workflow, while advanced users are encouraged to contribute additional functionality to the project. Students may benefit from using biomechZoo as a learning and research tool. It is hoped that the toolbox can play a role in advancing research in the movement sciences. The biomechZoo m-files, sample data, and help repositories are available online (http://www.biomechzoo.com) under the Apache 2.0 License. The toolbox is supported for Matlab (r2014b or newer, The Mathworks Inc., Natick, USA) for Windows (Microsoft Corp., Redmond, USA) and Mac OS (Apple Inc., Cupertino, USA).
生物力学数据集通常包含针对许多受试者、组和/或条件随时间记录的大量因变量。为了回答研究问题，这些数据通常需要进行标准的排序、处理和分析操作。这些数据的可视化也至关重要。本文介绍了biomechZoo，这是一个开源工具箱，提供工具和图形用户界面来帮助用户实现这些目标。本文的目的是：（1）介绍该工具箱的主要功能，包括用于对运动数据进行动画处理的虚拟三维环境（Director）、一个数据绘图套件（Ensembler）以及用于计算三维下肢关节角度、力矩和功率的函数；（2）将这些计算结果与现有经过验证的系统的计算结果进行比较。为此，概述了通过该工具箱处理和分析样本数据集所需的步骤。该数据集包括进行直线行走和90°转弯动作的受试者的三维标记、地面反作用力（GRF）、关节运动学和关节动力学数据。发现该工具箱内处理的关节运动学和动力学与商业系统的输出相似。biomechZoo工具箱是数年工作以及多位贡献者的成果，旨在提供一个灵活的平台来检查运动科学中典型的时间序列数据集。该工具箱此前已用于处理和分析步行、跑步和冰球数据集，并且可以集成现有例程，如KineMat工具箱，以进行额外分析。该工具箱可以帮助编程或生物力学新手的研究人员和临床医生通过可定制的工作流程来处理和分析他们的数据，同时鼓励高级用户为该项目贡献更多功能。学生可能会从将biomechZoo用作学习和研究工具中受益。希望该工具箱能够在推动运动科学研究方面发挥作用。biomechZoo的m文件、样本数据和帮助文档库可在Apache 2.0许可下在线获取（http://www.biomechzoo.com）。该工具箱支持在Windows（美国微软公司，雷德蒙德）和Mac OS（美国苹果公司，库比蒂诺）上运行的Matlab（r2014b或更高版本，美国Mathworks公司，纳蒂克）。
