脑电肌电特征映射研究数据集

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1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）对2位被试对象的32个通道的脑电信号以及大腿处的股外侧肌(VL)、股直肌(RF)、股内侧肌(VM)、股二头肌(BF)、半腱肌(ST)、半膜肌(SM)肌电信号进行采集；采用NI labview数据采集设备和两个IMU传感器作差得到膝关节的角度信号，用于实时反馈运动时的实际角度。由于脑肌电信号的采集与角度信号的采集是不同的设备。因此，利用Matlab软件中的Psychtoolbox工具箱同步脑肌电信号和角度信号的时间序列。数据量大小为768MB。

This dataset was collected in January 2022 at the Intelligent Bionics Center by the Institute of Integrated Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. The development of this dataset mainly included two stages: paradigm design and data collection implementation. Electroencephalogram (EEG) signals from 32 channels of 2 human participants, as well as electromyogram (EMG) signals from six thigh muscles including vastus lateralis (VL), rectus femoris (RF), vastus medialis (VM), biceps femoris (BF), semitendinosus (ST), and semimembranosus (SM), were collected using a third-party eego mylab electroencephalograph (amplifier). Knee joint angle signals, which were used to provide real-time feedback of actual movement angles, were derived via differential processing of data acquired by a NI LabVIEW data acquisition system and two IMU sensors. Since the acquisition equipment for EEG and EMG signals differed from that for the knee angle signals, the Psychtoolbox toolkit in MATLAB was employed to synchronize the time series of the EEG, EMG and angle signals. The total size of this dataset is 768 MB.

搜集汇总

背景与挑战

背景概述

该数据集包含2位被试对象的脑电和下肢肌电信号，以及膝关节角度信号，数据量768MB，用于脑电肌电特征映射研究，特别是下肢外骨骼机器人控制。数据集由中国科学院深圳先进技术研究院采集，属于国家重点研发计划项目的一部分。