Tutorials

This section contains step-by-step tutorials demonstrating how to use the ParaDigMa toolbox to extract digital biomarkers from wrist-worn sensor data.

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Quick Start

• Pipeline Orchestrator - End-to-end analysis example

Data Loading and Preparation

• Device-specific data loading - Load data from Empatica, Axivity, Verily

• Data preparation - Clean, format, and prepare sensor data

Pipeline-Specific Tutorials

• Gait analysis - Extract arm swing measures during walking

• Tremor analysis - Extract tremor measures

• Pulse rate analysis - Extract pulse rate measures

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New to ParaDigMa? Start with Pipeline Orchestrator for a complete end-to-end example, or begin with Data Preparation if you need help loading your own sensor data.

Running Tutorials in Jupyter

If you want to run the tutorial notebooks in Jupyter Notebook or JupyterLab:

Option 1: Activate Poetry environment first (Recommended)

poetry env activate
jupyter lab

Option 2: Register Poetry kernel with Jupyter (for VSC, PyCharm, etc.)

# Register the Poetry environment as a Jupyter kernel
poetry run python -m ipykernel install --user --name paradigma --display-name "Python (paradigma)"

After registering the kernel, select “Python (paradigma)” as the kernel when opening notebooks in your IDE or Jupyter interface.

Option 3: Use Poetry to run Jupyter directly

poetry run jupyter lab