Synthetic Cardiac Signals

该数据集由CardiacGen框架生成的合成但生理上可信的心脏信号组成，旨在用于评估分类器在情绪识别和身份识别任务中的性能。为此，该数据集被专门用于数据增强，以辅助在进行情绪和身份识别分类任务时的训练过程。

This dataset comprises synthetic yet physiologically plausible cardiac signals generated by the CardiacGen framework, and it is intended to evaluate the performance of classifiers in emotion recognition and identity recognition tasks. To this end, the dataset is specifically used for data augmentation to aid the training process for emotion and identity recognition classification tasks.