Apple Health Exports
summary
A personal Apple Health Export yields 3.9 million rows (about 5,000 measurements a day and 1.2M in the last year) that load into R and get visualized with ggplot; plots show a midnight heart‑rate spike tied to an ER visit, reveal watchOS version changes that alter resting‑HR and VO2‑max estimates, and include an ECG strip labeled atrial fibrillation that aligns with heart‑rate traces and influenced a discussion about anticoagulation in the ER.
AI-written summary · about
chapters (8)
- 0:00Emergency room to health data
- 1:38Apple Health data volume and structure
- 3:27Apple Health Export explained
- 5:39Key columns in health export
- 6:22Resting heart rate trends
- 7:24VO2 max measurements
- 8:56ECG data and atrial fibrillation
- 12:24Why explore health data
related talks
13mApple Health Exports
41mHealthPlot: Understanding American public health through R
27mRevolutionizing Medical Monitoring with High-Performance ECG Apps
22mSwift Charts - Beyond the basics
13mRural Health Analytics with Oracle Health
10mWho were the secret App Store winners of 2015?
14mTelling Traces
43mData Sketches | A year of exotic data visualizations