Data Descriptor: Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground
Data Descriptor: Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground
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DOI：
10.1038/sdata.2018.133
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发表时间：
2018-07-10
期刊：
影响因子：
9.8
通讯作者：
Contreras-Vidal, Jose L.
中科院分区：
文献类型：
--
作者：
Brantley, Justin A.;Trieu Phat Luu;Contreras-Vidal, Jose L.
人体运动是一个复杂的过程，需要中枢和周围神经信号的整合。了解大脑对运动的参与具有挑战性，传统上是在运动想象或观察过程中进行研究。然而，静态成像方法缺乏在实际任务执行期间推断有关外围和中央信号传导信息的能力。在本报告中，我们提出了一个数据集，其中包含同时记录的 10 名身体健全人士的脑电图 (EEG)、下肢肌电图 (EMG) 和全身运动捕捉。受试者平均完成了包含平地、坡道和楼梯的实验步态课程二十次试验。我们记录了头皮的 60 通道脑电图和面部和太阳穴的 4 通道脑电图。从大腿和小腿两侧的六个肌肉部位记录表面肌电图。动作捕捉系统由 17 个无线 IMU 组成，允许在实验空间内不受限制地行走。在本报告中，我们介绍了收集这些数据的基本原理、实验设置的详细说明以及数据质量的简要验证。
Human locomotion is a complex process that requires the integration of central and peripheral nervous signalling. Understanding the brain's involvement in locomotion is challenging and is traditionally investigated during locomotor imagination or observation. However, stationary imaging methods lack the ability to infer information about the peripheral and central signalling during actual task execution. In this report, we present a dataset containing simultaneously recorded electroencephalography (EEG), lower-limb electromyography (EMG), and full body motion capture recorded from ten able-bodied individuals. The subjects completed an average of twenty trials on an experimental gait course containing level-ground, ramps, and stairs. We recorded 60-channel EEG from the scalp and 4-channel EOG from the face and temples. Surface EMG was recorded from six muscle sites bilaterally on the thigh and shank. The motion capture system consisted of seventeen wireless IMUs, allowing for unconstrained ambulation in the experimental space. In this report, we present the rationale for collecting these data, a detailed explanation of the experimental setup, and a brief validation of the data quality.