EEG Lissajous animations

This dataset contains transformed EEG recordings represented as Lissajous curves, derived from seizure data in the CHB-MIT Scalp EEG Database [1]. The transformation maps EEG signals into phase-space Lissajous curve representations, enabling visualization of phase relationships and coherence between channels.Each dataset animation consists of a video file (~150 seconds) capturing epileptic seizure activity. The videos include: Lissajous curve representations of EEG signals Spectrograms of the original recordings Coherence plots between selected channels A simplified visualization of the raw EEG signal The transformation preserves the information content of the original EEG signals while providing an alternative representation suitable for analyzing phase dynamics, correlations, and potential changes in system behavior.This approach is general and can be applied to other types of biological signals, such as ECG and EMG, without requiring constraints on signal amplitude or scale. The dataset is intended for research in: Dynamical systems analysis Biomedical signal processing Epileptic seizure detection and characterization Visualization of multivariate time-series data All data were processed from publicly available recordings in the CHB-MIT database. This collection is provided to support further research and method development in signal transformation and analysis.