MIB Dataset

该数据集用于测试所提出的方法，主要针对在脑机接口（BCI）应用中区分左右手腕运动想象（MI）。在实验中，选取了部分本征模态函数（IMFs）生成的人工试验替代了实际试验，并通过执行不同比例的试验替代来评估分类器的性能。该任务旨在区分左右手腕的运动想象。

This dataset is designed to test the proposed methodology, primarily targeting the discrimination of left versus right wrist motor imagery (MI) for brain-computer interface (BCI) applications. In the experiments, artificial trials generated via selected Intrinsic Mode Functions (IMFs) were used to replace real experimental trials, and the classifier's performance was evaluated by implementing trial replacement at varying proportions. The core objective of this task is to distinguish between motor imagery of the left and right wrists.