Apple Health Exports
summary
Apple Health export yields 3.9 million rows (about 1.2M in the last year) in a ~3.5GB XML that unzips to a single tidy table with start/end timestamps, type, value, source and software version. R and ggplot produce full‑day heart rate plots that visibly pinpoint ER events and ECG episodes; those plots corroborate atrial fibrillation timing and influenced a clinician discussion. WatchOS version changes shift measures (resting heart rate redefinition, VO2max algorithm changes), so source and version matter to avoid double counting and misinterpretation.
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
27mRevolutionizing Medical Monitoring with High-Performance ECG Apps
41mHealthPlot: Understanding American public health through R
22mSwift Charts - Beyond the basics
10mWho were the secret App Store winners of 2015?
13mRural Health Analytics with Oracle Health
43mData Sketches | A year of exotic data visualizations
14mTelling Traces