Finger Perfusion Advantage
The finger arterial capillary bed provides up to 100x higher optical perfusion index than wrist wearables, delivering clinical-grade photoplethysmography (PPG) waveforms.
A Foundational AI Model for Human Pulse Wave & Multi-System Health Analytics
Every cardiac ejection leaves a complex physiological wave signature across your peripheral vascular network. Pulsomics couples continuous optical pulse captures with comprehensive human contextual inputs—blood panels, metabolic history, and fitness evaluations—to train AI models that interpret whole-body health.
The finger arterial capillary bed provides up to 100x higher optical perfusion index than wrist wearables, delivering clinical-grade photoplethysmography (PPG) waveforms.
Raw pulse signals are matched against blood laboratory markers, VO₂ max treadmill benchmarks, and self-reported wellness logs to unlock accurate predictive modeling.
Built across diverse age groups, skin tones, body compositions, and ethnicities across 180+ countries to ensure algorithmic fairness and global accuracy.
By tracking arterial stiffness, micro-vascular rebound, and autonomic nervous tone, Pulsomics connects subtle pulse wave variations to internal physiological organ systems.
Short windows of raw pulse data captured overnight map back to vital bodily networks:
Explore ongoing clinical research protocols pairing non-invasive smart ring PPG signals with clinical health indicators.
Correlates nocturnal pulse wave stability and autonomic tone recovery against perceived morning alertness and restorative REM/Deep sleep cycles.
Identifies cardiorespiratory markers embedded within resting pulse wave contours to accurately estimate aerobic capacity without treadmill stress tests.
Analyzes vascular tone changes following dietary intake to build predictive models for postprandial glucose surges and insulin sensitivity.
Investigates overnight peripheral pulse wave velocity signatures corresponding to arterial blood pressure variations across circadian sleep cycles.
Monitors multi-month physiological adaptations against daily lifestyle shifts, stress events, and nutritional interventions.
Custom research protocols co-designed with university medical departments, clinical CROs, and corporate health managers.
A seamless, non-disruptive pathway converting ambient daily sensor wear into validated health predictive algorithms.
Ring users aged 18+ opt into specific active research modules directly through the mobile interface.
Participants provide key physiological baselines including age, height, weight, ethnicity, and general health history.
Smart rings passively collect short windows of uncompressed raw pulse waveforms during sleep without impacting battery life.
Users upload blood test panels or fitness test reports to establish accurate reference targets for machine learning training.
Partner with Ultrahuman to access anonymized physiological cohorts, co-develop pulse biomarker algorithms, or license fighter jet-grade smart ring technology for your organization.
Essential details on compliance, data integrity, hardware support, and research oversight.