脑电肌电融合控制下肢外骨骼机器人研究数据集

本数据集由中国科学院深圳先进技术研究院集成所于2022年6月在智能仿生中心采集得到，主要经过了范式设计，数据采集的实施过程，主要基于第三方设计的eego mylab脑电仪（放大器）和eego64数据采集软件在window10平台实现，该数据集包括了10位志愿者穿戴下肢外骨骼机器人记录的32通道的脑电数据、7通道的肌电数据和数据的标签类别。数据量大小为2.59GB。

This dataset was collected in June 2022 at the Intelligent Bionics Center of the Institute of Integration, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT, CAS). Its development involved paradigm design and the implementation of data collection procedures, and the data acquisition was primarily carried out on the Windows 10 platform using the third-party-designed eego mylab electroencephalography (EEG) amplifier and eego64 data acquisition software. This dataset includes 32-channel electroencephalogram (EEG) data, 7-channel electromyogram (EMG) data, and corresponding data label categories recorded from 10 volunteers wearing lower-limb exoskeleton robots. The total size of the dataset is 2.59 GB.

搜集汇总

背景与挑战

背景概述

该数据集包含10位志愿者的32通道脑电和7通道肌电数据，用于下肢外骨骼机器人控制研究，数据量为2.59GB。