The word kymograph is Greek — from kyma, "wave" and graphō, "to write." Invented by the physiologist Carl Ludwig in 1847, the kymograph traced waves and oscillations onto a rotating drum — built to capture the body's fleeting physiological signals as a permanent, readable record.
Nearly two centuries on, KymoMetrics carries that idea forward. Where Ludwig recorded the waveform, we decode it — applying AI and machine learning to reveal the hidden physiological information inside the arterial pressure waveform, and turning it into data-driven, physiology-guided diagnostics to personalise hemodynamic management in heart failure, cardiogenic shock, and mechanical circulatory support.
Tools that interpret hemodynamic signals in real time and surface the next best move for teams managing the sickest hearts — sharpening judgment without ever replacing it.
Clinical Decision SupportInfrastructure that turns messy physiological data into structured evidence — helping clinical research teams move from raw waveforms to publishable insight.
Data AnalyticsPlain-language tools like Heart Care Compare that put national outcome data into patients' hands, so the people at the centre of care can understand it too.
Patient EmpowermentPrecision hemodynamic management from the lab to the bedside.