HomeDigital Twins & Wearable Tech (IoT)Mobile Health Data Sync: Multi-Device Deduplication

Mobile Health Data Sync: Multi-Device Deduplication

Interactive 3D simulator: phone, watch and fitness-band step counters stream overlapping events into a HealthKit-style aggregator, and a merge-window algorithm decides which readings are the same physical steps double-reported versus genuinely new — watch raw double-counted totals diverge from the reconciled record.

Digital Twins & Wearable Tech (IoT)3DModerate60 FPS
mobile-healthcare-telemedicine ↗ Open standalone

Mobile healthcare apps pull step counts, heart-rate samples and other vitals from several wearables at once through APIs like Apple HealthKit and Google Fit — a phone in your pocket, a smartwatch on your wrist and a fitness band can all report the same footstep within a fraction of a second of each other. This simulator renders that pipeline in 3D: three devices stream timestamped step events toward a central Health Record hub, and a merge-window reconciliation algorithm decides in real time whether an incoming event is a genuinely new burst of activity or a duplicate report of steps already counted. Adjust the merge window, the trusted priority source and each device's on/off state, and watch the naive raw total pull away from — or converge with — the reconciled total, with the resulting double-counting error tracked live.

⚙ Under the hood

Phone, watch and fitness-band step counters stream overlapping events into a HealthKit-style aggregator in 3D, and a merge-window reconciliation algorithm decides which readings are duplicate reports of the same footsteps versus genuinely new activity.

mobile healthtelemedicinewearablesdata deduplicationHealthKitIoT

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

What did you find?

Add reproduction steps (optional)