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Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment

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Zenodo2022-02-11 更新2026-05-25 收录
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The dataset is related to the paper Piazza, C.; Pirovano, I.; Mastropietro, A.; Genova, C.; Gagliardi, C.; Turconi, A.C.; Malerba, G.; Panzeri, D.; Maghini, C.; Reni, G.; Rizzo, G. and Biffi E. Development and Preliminary Testing of a System for the Multimodal Analysis of Gait Training in a Virtual Reality Environment. Electronics 2021, 10, 2838. https://doi.org/10.3390/electronics10222838. It includes multimodal data (EEG, EMG, kinematics and kinetics) of a healthy child (HC) and a child with hemiparesis (CP01) during walking in a virtual environmment (GRAIL, Motek). Data can be opened by using EEGLab and Matlab

本数据集关联论文《Piazza, C.; Pirovano, I.; Mastropietro, A.; Genova, C.; Gagliardi, C.; Turconi, A.C.; Malerba, G.; Panzeri, D.; Maghini, C.; Reni, G.; Rizzo, G. 及 Biffi E. 所著的『虚拟现实环境下步态训练多模态分析系统的开发与初步测试』》,发表于期刊Electronics 2021年第10卷第2838篇文章,DOI:10.3390/electronics10222838。该数据集包含健康儿童(HC)与偏瘫儿童(CP01)在虚拟环境(GRAIL,Motek)中行走时采集的多模态数据,涵盖脑电图(Electroencephalogram, EEG)、肌电图(Electromyography, EMG)、运动学与动力学数据。用户可通过EEGLab与Matlab打开该数据集。

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Zenodo
创建时间:
2022-02-11
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