Mobile BCI dataset of scalp- and ear-EEG with ERP and SSVEP paradigms during standing, walking, and running

We present a mobile dataset of electroencephalography (EEG) from scalp and ear and locomotion sensors collected from 18 subjects moving at different speeds while performing brain-computer interface (BCI) tasks. The experiments were performed under 16 different conditions (2 types of EEG devices x 4 speeds of movements x 2 types of BCI paradigms). The data were collected from 32-channel scalp-EEG, 14-channel ear-EEG, 4-channel electrooculography, and 3 inertial measurement units at the forehead, left ankle, and right ankle simultaneously. The conditions of recording were standing, slow walking, fast walking, and slight running at speeds of 0, 0.8, 1.6, and 2.0 m/sec, respectively. At each speed, two different BCI paradigms, event-related potential (ERP) and steady-state visual evoked potential (SSVEP), were recorded. To evaluate the signal quality, scalp- and ear-EEG data were qualitatively and quantitatively validated at each speed. We expect that the dataset will facilitate BCIs in diverse mobile environments to analyze brain activities and to evaluate the performance quantitatively, so as to broaden the use of practical BCIs.

本研究发布了一款移动数据集，其数据来自18名受试者在以不同速度移动并完成脑机接口（brain-computer interface, BCI）任务时采集的头皮脑电图（scalp-EEG）、耳部脑电图（ear-EEG）与运动传感器信号。本实验共设置16种不同实验条件（2种脑电图设备 × 4种运动速度 × 2种脑机接口范式）。本次采集的数据同时包含32通道头皮脑电图、14通道耳部脑电图、4通道眼电图（electrooculography），以及分别佩戴于前额、左踝关节与右踝关节的3个惯性测量单元（inertial measurement unit, IMU）。实验录制场景分别为静止站立、慢走、快走与轻度跑步，对应速度依次为0、0.8、1.6与2.0米/秒。在每种运动速度下，均同步记录两种不同的脑机接口范式：事件相关电位（event-related potential, ERP）与稳态视觉诱发电位（steady-state visual evoked potential, SSVEP）。为评估信号质量，研究人员针对每种运动速度下的头皮脑电图与耳部脑电图数据开展了定性与定量验证。本数据集旨在助力多样移动环境下的脑机接口研究，以分析脑活动并定量评估其性能，进而拓展实用型脑机接口的应用场景。