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.