Add example use case: WESAD EDA preprocessing + augmentations

[mcp5552]

This example script loads and preprocesses the WESAD dataset, segments the EDA signal into windows, and applies basic EDA-specific augmentations (jitter, scaling, cropping, permutation). Includes placeholders for model definition and training. Intended as a starting point for a full contrastive learning workflow.