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Benchmark datasets for bilateral lower limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals

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DataCite Commons2025-06-01 更新2024-07-27 收录
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https://figshare.com/articles/dataset/Benchmark_datasets_for_bilateral_lower_limb_neuromechanical_signals_from_wearable_sensors_during_unassisted_locomotion_in_able-bodied_individuals/5362627/2
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This dataset, the <b>EN</b>cyclopedia of <b>A</b>ble-bodied <b>B</b>ilateral <b>L</b>ower <b>L</b>imb <b>L</b>ocomotor <b>S</b>ignals <b>(ENABL3S)</b>,<b> </b>represents a benchmark for lower limb neuromechanical signals recorded using wearable sensors from 10 able-bodied individuals during unassisted locomotion. In addition to sitting and standing, subjects freely transitioned between level ground walking, ramp ascent/descent, and stair ascent/descent at their self-selected speed. Subjects were bilaterally instrumented with surface electromyography (EMG) from seven lower limb muscles, goniometers at the knee and ankle, and inertial measurement units (IMU) at the shank, thigh. An additional IMU was worn around the waist. Features commonly used in lower limb intent recognition for prosthesis control have been extracted from windows near heel contact and toe off gait events.<br>If you use this dataset, please cite as:Hu, B., Rouse, E. and Hargrove, L. (2018). Benchmark Datasets for Bilateral Lower-Limb Neuromechanical Signals from Wearable Sensors during Unassisted Locomotion in Able-Bodied Individuals. Frontiers in Robotics and AI 5:14.

本数据集为**健全人双侧下肢运动神经机械信号百科数据集(ENABL3S,Encyclopedia of Able-bodied Bilateral Lower Limb Locomotor Signals)**,是一套针对10名健全个体在无辅助运动状态下,通过可穿戴传感器采集的下肢神经机械信号构建的基准数据集。受试者可在坐姿、站姿之外,以自主选择的速度自由切换平地行走、坡道上下行及楼梯上下行等运动模式。受试者双侧佩戴了采集7块下肢肌肉表面肌电(surface electromyography, EMG)的电极、膝关节与踝关节处的测角计,以及小腿、大腿部位的惯性测量单元(inertial measurement unit, IMU),此外腰部还额外佩戴了一枚IMU。研究人员已从足跟触地与足尖离地这两类步态事件附近的信号窗口中,提取了常用于假肢控制的下肢运动意图识别特征。 若使用本数据集,请按如下方式引用:Hu, B., Rouse, E. 与 Hargrove, L. (2018). Benchmark Datasets for Bilateral Lower-Limb Neuromechanical Signals from Wearable Sensors during Unassisted Locomotion in Able-Bodied Individuals. Frontiers in Robotics and AI 5:14.
提供机构:
figshare
创建时间:
2018-09-14
搜集汇总
数据集介绍
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背景与挑战
背景概述
ENABL3S数据集是一个基准数据集,记录了10名健康个体在无辅助运动时双侧下肢的神经机械信号,包括平地行走、上下坡、上下楼梯等多种运动状态。数据采集使用了表面肌电图(EMG)、测角仪和惯性测量单元(IMU)等多种可穿戴传感器。
以上内容由遇见数据集搜集并总结生成
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