About KymoMetrics:
Improving Clinical Outcomes through Physiology-Guided Clinical Intelligence

Founded on the clinical conviction that organ perfusion cannot be reduced to crude numerical averages. We combine cardiovascular physiology, signal processing, and data science to empower bedside clinicians with actionable intelligence.

From Carl Ludwig's Kymograph to Modern Critical Care

A continuous tradition of unlocking hidden dynamics within the living circulation.

The word kymograph originates from the Greek kyma (“wave”) and graphō (“to write”). Invented in 1847 by German physiologist Carl Ludwig, the mechanical kymograph used a soot-coated rotating drum and a floating manometer stylus to record arterial blood pressure continuously for the very first time in human history.

For the past 175 years, transducer systems and monitors have captured these pressure waveforms, but ironically contemporary clinical practices reduce these high-fidelity traces to single number like MAP or CVP. At KymoMetrics, we carry Ludwig's legacy into the digital age: decoding physiology from the pressure waveform for clinical application.

“Where Ludwig captured the waveform, we decode it. By combining advanced mathematics and artificial intelligence, we transform complex pressure signals into meaningful bedside guidance.”
mm Hg Carl Ludwig · 1847

Designed for Seamless Hospital Integration

Zero hardware disruption: connecting routine ICU transducers to point-of-care clinical intelligence.

STAGE 01 · DATA CAPTURE

Passive Bedside Signal Ingestion

Non-invasive, passive connection to existing bedside monitoring infrastructure (Philips IntelliVue, GE CARESCAPE, Mindray BeneVision) via standard HL7, IHE PCD, serial, or telemetry network streams.

  • Zero new bedside transducers or invasive lines
  • Utilizes existing arterial lines and CVCs
  • Continuous high-frequency sampling (≥100 Hz)
STAGE 02 · COMPUTATION

Real-Time Biophysical Processing

Secure on-premise edge gateway or private hospital cloud environment. Advanced mathematical algorithms execute beat segmentation, respiratory artifact filtering, and dual-wave biophysical decomposition in sub-second intervals.

  • Beat-by-beat reservoir-wave decomposition
  • Automated fiducial landmark & arrhythmia detection
  • Sub-second algorithmic latency
STAGE 03 · CLINICAL INTELLIGENCE

Point-of-Care Bedside Display

Delivers intuitive, high-clarity visualizations directly to the care team via bedside tablet/monitor web interfaces, central nursing consoles, and bidirectional EHR flow-sheet integration (Epic, Cerner).

  • Clear cardiopulmonary coupling status at a glance
  • Dynamic tracking of fluid and inotropic therapies
  • Seamless EHR documentation export

Platforms for Clinicians, Scientists, and Educators

Bridging the gap between cardiovascular physiology and evidence generation.

Inference-Stats™ Platform

Our dedicated statistical analysis and data analytics platform tailored for clinical researchers. Automated hypothesis test recommendation, assumption verification, missing data management, and an integrated AI statistical copilot that explains methods in plain medical English.

Visit Inference-Stats.com

Interactive Simulators

Hands-on educational and investigational tools allowing clinicians to simulate central venous pressure waveforms, tricuspid regurgitation, cardiac tamponade, and right ventricular pressure-volume loops under varying preload, afterload, and contractility conditions.

Launch CVP Explorer Simulator