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Sepsis Early-Warning CUSUM Detector

Interactive ICU big-data simulator: a streaming heart-rate trend feeds a CUSUM (cumulative sum) statistical detector, catching a slow physiological drift toward sepsis-driven tachycardia hours before a fixed-threshold alarm would fire.

Medicine & Biophysics3DModerate60 FPS📱 Mobile-adapted⇄ 2D version

Modern hospitals generate a continuous flood of vital-sign data per patient — the "medical big data" problem is turning that stream into an early warning instead of noise. This simulator renders a live 3D heart-rate trace alongside a CUSUM (cumulative sum) statistical detector tracking the same stream. Trigger a slow physiological deterioration and compare how quickly the CUSUM statistic accumulates enough evidence to alarm against a conventional fixed-threshold monitor that only reacts once a single reading crosses its line — the difference is measured directly as a lead-time-in-minutes readout, the same quantity hospital early-warning systems are tuned against in practice.

⚙ Under the hood

A streaming ICU heart-rate trend feeds a CUSUM (cumulative sum) statistical detector that catches a slow drift toward sepsis-driven tachycardia hours before a conventional fixed-threshold alarm would fire.

sepsisbig datamachine learningearly warningstatisticsICU monitoring

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