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踝关节图像——一个用于了解踝关节肌肉收缩力的超快超声图像数据集。

AnkleImage - An ultrafast ultrasound image dataset to understand the ankle joint muscle contractility.

作者信息

Zhang Qiang, Hakam Noor, Akinniyi Oluwasegun, Iyer Ashwin, Bao Xuefeng, Sharma Nitin

机构信息

The University of Alabama, Department of Mechanical Engineering, Tuscaloosa, 35401, USA.

Department of Chemical & Biological Enginnering at the University of Alabama, Tuscaloosa, 35401, USA.

出版信息

Sci Data. 2024 Dec 27;11(1):1439. doi: 10.1038/s41597-024-04285-x.

Abstract

The role of the human ankle joint in activities of daily living, including walking, maintaining balance, and participating in sports, is of paramount importance. Ankle joint dorsiflexion and plantarflexion functionalities mainly account for ground clearance and propulsion power generation during locomotion tasks, where those functionalities are driven by the contraction of ankle joint skeleton muscles. Studies of corresponding muscle contractility during ankle dynamic functions will facilitate us to better understand the joint torque/power generation mechanism, better diagnose potential muscular disorders on the ankle joint, or better develop wearable assistive/rehabilitative robotic devices that assist in community ambulation. This data descriptor reports a new dataset that includes the ankle joint kinematics/kinetics, associated muscle surface electromyography, and ultrafast ultrasound images with various annotations, such as pennation angle, fascicle length, tissue displacements, echogenicity, and muscle thickness, of ten healthy participants when performing volitional isometric, isokinetic, and dynamic ankle joint functions (walking at multiple treadmill speeds, including 0.50 m/s, 0.75 m/s, 1.00 m/s, 1.25 m/s, and 1.50 m/s). Data were recorded by a research-use ultrasound machine, a self-designed ankle testbed, an inertia measurement unit system, a Vicon motion capture system, a surface electromyography system, and an instrumented treadmill. The descriptor in this work presents the results of a data curation or collection exercise from previous works, rather than describing a novel primary/experimental data collection.

摘要

人类踝关节在日常生活活动中所起的作用至关重要,这些活动包括行走、保持平衡以及参与体育运动。踝关节背屈和跖屈功能主要负责在运动任务中提供离地间隙和产生推进力,这些功能由踝关节骨骼肌的收缩驱动。研究踝关节动态功能期间相应肌肉的收缩能力,将有助于我们更好地理解关节扭矩/动力产生机制,更好地诊断踝关节潜在的肌肉疾病,或者更好地开发可穿戴辅助/康复机器人设备以协助社区行走。本数据描述报告了一个新数据集,该数据集包含十名健康参与者在进行自主等长、等速和动态踝关节功能(在多种跑步机速度下行走,包括0.50米/秒、0.75米/秒、1.00米/秒、1.25米/秒和1.50米/秒)时的踝关节运动学/动力学、相关肌肉表面肌电图以及带有各种注释(如羽状角、肌束长度、组织位移、回声性和肌肉厚度)的超快超声图像。数据由一台科研用超声机、一个自行设计的踝关节试验台、一个惯性测量单元系统、一个Vicon运动捕捉系统、一个表面肌电图系统和一台带仪器的跑步机记录。本研究中的描述呈现了对先前工作进行数据整理或收集的结果,而非描述一项全新的原始/实验数据收集。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b61/11680872/c2bbc7a07e02/41597_2024_4285_Fig1_HTML.jpg

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