🧪 Medical Technology Medical Data Analysis Simulation

This simulation analyzes streaming medical data the way a bedside monitor does: a cohort of simulated patients each generate a noisy vital-sign time series, and a rolling statistical-process-control detector computes a live moving average, standard deviation and z-score for every new reading. Points that drift too far from a patient's own recent baseline are flagged in real time, revealing trends and anomalous patterns that a raw list of numbers would hide. Switch between heart rate, SpO₂ and systolic blood pressure, grow or shrink the cohort, and tune the detection window and threshold to see the classic precision/recall trade-off of anomaly detection play out live.