Examples

The following notebooks illustrate vitabel from two complementary angles:

• a foundational example introducing the core data structures used throughout the package

• application-oriented use cases based on realistic critical care and perioperative workflows

You can download the associated Jupyter notebooks as well as the corresponding data from our GitHub repository. Alternatively, you can also run the examples directly in your browser using our interactive Binder environment.

• Fundamentals: Channels, labels, and collections
  • 1. Imports
  • 2. Create channels
  • 3. Create labels
  • 4. Inspect the collection
  • 5. Plot channels with attached labels and automatic overviews
  • 6. Plot with an explicit subplot layout
  • Summary
• Use Case 1: Defibrillator data from out-of-hospital cardiac arrest case
  • 1. Loading Data
  • 2. Processing Data
  • 3. Adding new Labels
  • 4. Plotting Data interactively
  • 5. Storing Data
• Use Case 2: Data from multiple sources in an animal experiment
  • 1. Loading Data
  • 2. Processing Data
  • 3. Plotting Data interactively
  • 4. Storing Data
• Use Case 3: User interface to research intra-anaesthesisa hypotension
  • 1. Loading Data
  • 2. Processing Data
  • 3. Plotting and Labeling Data Interactively
  • 4. Building a Custom User Interface