Notebooks
=========

This section contains various Jupyter Notebooks that demonstrate the usage of VitalDSP in practical scenarios. Each notebook covers different aspects of digital signal processing in healthcare and biomedical applications.

.. toctree::
   :maxdepth: 2
   :caption: Notebooks:
   :titlesonly:

   notebooks/health_report_analysis.ipynb
   notebooks/synthesize_data.ipynb
   notebooks/data_loader_tutorial.ipynb
   notebooks/signal_filtering.ipynb
   notebooks/advanced_filtering.ipynb
   notebooks/artifact_removal.ipynb
   notebooks/signal_quality_index.ipynb
   notebooks/feature_engineering.ipynb
   notebooks/transforms.ipynb
   notebooks/physiological_features.ipynb
   notebooks/preprocess.ipynb
   notebooks/respiratory_analysis.ipynb
   notebooks/feature_engineering_autonomic.ipynb
   notebooks/advanced_computation.ipynb
   notebooks/signal_decomposition.ipynb
   notebooks/ADVANCED_FEATURES_GUIDE.ipynb
   notebooks/advanced_features_analysis.ipynb