Motivation

This project was a “vibe coding” solution to help a friend with a sleep disorder. Raw Apple Health data is difficult to parse and present to a doctor. By automating the extraction and visualization process, we created a clear, professional-grade sleep chart that made it much easier for their sleep doctor to analyze patterns and provide better care.

Key Features

• XML Data Extraction: Automatically parses large Apple Health export files.
• Sleep Stage Visualization: Clearly distinguishes between Deep, Core, REM, and Awake states.
• Pattern Recognition: Helps identify trends and irregularities in sleep cycles over time.
• Doctor-Ready Reports: Generates high-resolution charts suitable for medical review.

Visualization

Detailed sleep stage breakdown over multiple days

Technology Stack (Python)

• Data Parsing: xml.etree.ElementTree
• Data Manipulation: pandas, numpy
• Visualization: matplotlib
• Time Handling: datetime