Machine Learning · Biomedical Engineering

BioTwin Arena

Create a synthetic patient cohort, watch their vital signs, and run a virtual clinical trial of medical algorithms. An AI auditor then writes an FMEA-style safety report.

Cohort studio

Patient archetypes

Teaching models only: lumped Windkessel physiology and simplified algorithms. Not validated for clinical use.

Bedside monitor

HR
87
bpm
BP
122/81
mmHg
MAP
95
mmHg
PAT
207
ms
Age
24
y
ECG
mV
ABP
mmHg
PPG
a.u.
EtCO₂
mmHg

6-second window. Rhythm: sinus. Stiffer arteries raise pulse wave velocity and shorten PAT.

How the artifact controls affect the signals

Sensor noise: electronic noise and slow baseline wander on the surface sensors, so both ECG and PPG get noisier. PPG is a low-amplitude optical signal, so it is affected relatively more.

Motion artifacts: movement episodes shift the electrodes (ECG baseline jumps, muscle noise) and change the optical path at the finger. PPG is hit hardest, ECG less.

ABP and EtCO₂ stay clean: ABP comes from an invasive arterial line, and capnography is barely affected by limb movement.