Wearable AI Early Warning System
A 3D digital-twin simulation of a wearable AI patient-monitoring system: continuous heart rate, SpO2, respiratory rate and temperature streams feed a trend-augmented early-warning score that predicts deterioration before fixed thresholds are crossed.
This simulator builds a live digital twin of a patient wearing a continuous biosensor patch. Heart rate, SpO₂, respiratory rate and skin temperature stream in real time from four sensor nodes into a holographic AI core, which fuses them into a trend-augmented early-warning score — the same idea behind real hospital and home wearable AI monitoring platforms used for sepsis and post-operative deterioration detection. Adjust the patient's baseline vitals, inject a simulated deterioration event, and watch the AI core shift from green to red as the risk score climbs ahead of any single vital crossing a hard threshold on its own.
A 3D digital-twin simulation of a wearable AI patient-monitoring system: continuous heart rate, SpO2, respiratory rate and temperature streams feed a trend-augmented AI risk score that detects deterioration before any single vital crosses a fixed threshold.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install