DICIS EEGFMMI A dataset

The dataset was created for the Motor Imagery classification by using an EMOTIV EPOC+ headset, to control a hexapod robot. Four test subjects between 23 and 36 years old, were trained and supervised to collect signals during several experimental tasks lasting three seconds each. According to the given task, subjects were instructed to stay still during the capture and invited to imagine closing and opening the right or the left fist focused on a stimulus video. The stimulus video of the fist closing-opening movements was played on the screen according to the temporal task sequence. The total trial duration was established at 19 s, where 6 s were used for the related MI tasks: the left fist as Task 1 (3 s), and the right fist as Task 2 (3 s). The neutral or reference action is taken as the final pause (3 s) to have an equal number of samples per class. Therefore, the developed dataset consists of 2,400 trials performed by four subjects (600 trials from each subject), representing 2,400×19 s (12.67 hours) of data capture. For each session duration, only signals of 3 s corresponding to Task1 (left fist MI), 3 s toTask2 (right fist MI), and 3 s to neutral action have been gathered to build the dataset. The Data folder contains EEG data corresponding to 4 subjects. Each subject folder contains 3 CSV files (one for each task). Each CSV file is organized as follows: the header contains the sensor names and the following lines contain the signals corresponding to 200 trials (each trial contains 384 samples); therefore, the total number of samples is 76,800 (384 x 200 = 76,800 samples).本数据集专为运动想象（Motor Imagery）分类任务构建，采用EMOTIV EPOC+头戴式设备采集数据，用于控制六足机器人。本次实验共招募4名年龄介于23至36岁的受试者，经统一训练与指导后开展多组实验任务，每项任务持续3秒。信号采集期间，要求受试者保持静止，并根据任务提示想象开合单侧拳头，同时专注于屏幕上的刺激视频。刺激视频将按照任务时序播放对应拳头开合的动作画面。每轮试次总时长设定为19秒，其中6秒用于运动想象任务：任务1为左手握拳想象（3秒），任务2为右手握拳想象（3秒）；剩余3秒作为静息参考阶段，以此保证各分类样本量均等。本数据集共包含4名受试者完成的2400组试次（每名受试者贡献600组试次），总数据采集时长为2400×19秒（约12.67小时）。针对每个实验时段，仅采集对应任务1（左手运动想象）、任务2（右手运动想象）及静息动作的3秒脑电（EEG）信号以构建数据集。Data文件夹内包含4名受试者的脑电数据，每名受试者的子文件夹中包含3个CSV文件（分别对应一项任务）。每个CSV文件的组织形式如下：文件首行以传感器名称作为表头，后续各行对应200组试次的信号数据（每组试次包含384个采样点），因此单文件总采样点数为76800（384×200=76800）。