"Synthetic EEG Dataset for CNN-LSTM Training: Clean and Artifact-Contaminated Signals"

"Synthetic EEG Dataset for CNN-LSTM Training: Clean and Artifact-Contaminated SignalsThis dataset consists of synthetically generated EEG and EMG signals designed for training Convolutional Neural Networks (CNNs) in artifact detection and removal. The dataset includes both clean EEG signals and EEG signals contaminated with simulated EMG artifacts from various sources.This dataset is useful for training and evaluating machine learning models aimed at artifact correction, signal denoising, and EEG preprocessing."

用于卷积神经网络-长短期记忆网络（CNN-LSTM）训练的合成脑电图（EEG）数据集：纯净与伪影污染信号
本数据集包含合成生成的脑电图（EEG）与肌电图（EMG）信号，专为训练卷积神经网络（Convolutional Neural Networks，CNNs）以完成伪影检测与移除任务而构建。
该数据集同时涵盖纯净脑电图信号，以及源自多种来源的模拟肌电图伪影污染的脑电图信号。
本数据集可用于训练与评估旨在实现伪影校正、信号去噪及脑电图预处理的机器学习模型。