MindBigData

该数据集是一个公开可获取的资源，包含了数百万个时长为两秒的脑电波信号。这些信号是在受试者看到并思考0到9的数字刺激时记录的，同时也包含未看到数字刺激时的信号以作对比。数据集涵盖了三种不同设备，它们的通道数和采样频率各不相同，分别是MindWave（MW）、EPOC（EP）和Muse（MU）。规模达到了数百万个脑电波信号。任务是根据相应的脑电波信号，推断受试者是否接收到了看到并思考数字的刺激。

This dataset is a publicly accessible resource containing millions of 2-second-long electroencephalogram (EEG) signals. These signals were recorded while human subjects viewed and contemplated numerical stimuli ranging from 0 to 9, and also include control signals collected when no numerical stimuli were presented for comparative analysis. The dataset covers three distinct devices, each with varying numbers of channels and sampling frequencies: MindWave (MW), EPOC (EP), and Muse (MU). The total scale of the dataset amounts to millions of EEG signals. The core task is to infer whether a human subject received the stimulus of viewing and contemplating a numerical digit based on their corresponding EEG signals.