Hemodynamic Surveillance Platform
Early physiological trajectory detection from routinely available signals.
Aranga identifies hemodynamic instability risk before overt vital sign deterioration, enabling earlier clinical decision-making in critical care settings.
Standard monitors see 120/80. We see the metabolic cost.
Aranga Biodynamics Ltd • 9 Patents Pending
Core Technology
Hemodynamic Surveillance Platform
A physics-informed approach to patient monitoring that identifies risk patterns in vital sign trajectories.
Physiological Efficiency
Analyzes cardiovascular effort, not just output. Our physics-informed models reveal how hard the system is working to maintain stability.
Trajectory Detection
Identifies deterioration patterns in retrospective evaluation before overt vital sign changes. Lead-time metrics available under NDA.
Calibrated Risk Scoring
Distinguishes concerning states from safe compensatory responses with probability-calibrated outputs and configurable alert thresholds.
Signal Processing Heritage
Signal processing techniques adapted from defense research applications, designed for detecting subtle patterns in noisy physiological data.
Trajectory-Based vs Threshold-Based Detection
From Deep Sea to Deep Physiology
Military-grade signal processing, adapted for the most critical mission: saving lives.
Anti-Submarine Warfare
Passive Sonar Processing
The Challenge: Detect a quiet submarine hiding in ocean noise before it becomes a threat.
The Signal: Subtle changes in “acoustic signature” patterns that reveal position and intent.
The Method: Track faint signatures over time, correlate multiple sensors, detect before breach.
“Hunt the submarine before it fires.”
Hemodynamic Surveillance
Perfusion Cost Analysis
The Challenge: Detect compensated shock hiding behind normal vital signs before the patient crashes.
The Signal: Subtle changes in “metabolic cost” that reveal physiological strain.
The Method: Track efficiency patterns over time, correlate multiple vitals, detect before crash.
“Hunt the instability before it kills.”
We treat the patient like a “Quiet Submarine”—detecting the “acoustic signature” (Metabolic Cost) before they emit an active signal (Hypotension).
The same algorithms that protect naval fleets now protect your patients.
Three-Layer Architecture
Aranga integrates physics-based analysis, deterministic governance controls, and configurable clinical constraints within a single auditable platform.
The Physics Engine
Standard monitors measure status (Blood Pressure, Heart Rate, Respiratory Rate etc). Aranga measures effort. Our Perfusion Cost Analysis™ quantifies the metabolic energy required to maintain stability—detecting the "Walking Wounded" before they crash.
The Governance Engine
Decision support systems must have strong governance guardrails. Safety requires "Hard Veto." Multiple inference models monitor the patient—if any single model detects a critical threat, it locks into RED ALERT. A stable heart rate can never mask a fatal blood pressure.
The Cultural Safety Layer
Medicine is not just biology—it is ethics, law, and geography. The External Constraint Interface allows health districts to inject specific protocols directly into the decision logic, ensuring care is equitable and culturally safe.
The Complete Cardiovascular Governance System
Aranga isn't just a shock monitor—it's a multi-disease safety net with the architectural breadth to manage the entire patient journey from admission to discharge.
Shock States
Early Trajectory DetectionHypovolemic Shock
Hemorrhage & Dehydration
Detects rapid rise in metabolic cost as the body compensates to maintain pressure during blood or fluid loss.
Septic Shock
Distributive Failure
Arterial Stiffness Analysis distinguishes "Warm Shock" (vasodilation) from other shock types.
Cardiogenic Shock
Pump Failure
Detects when heart rate compensation is failing, triggering Hard Veto even when other vital signs appear stable.
Occult Shock
The Walking Wounded
Detects instability in patients with normal blood pressure who are silently burning through physiological reserves.
Signal Intelligence
5 Patents PendingChange-Point Detection
CUSUM Analysis
Detects slow sustained drift patterns before threshold breaches. A heart rate drifting 75→85→95 over 6 hours triggers detection even though no single value is alarming.
Trajectory Integration
Track-Before-Detect
Validates vital sign patterns against expected clinical trajectories. Accumulates "energy" along velocity vectors to detect momentum-based deterioration.
Syndrome Detection
Stealth Signatures
Detects syndrome patterns across multiple vitals simultaneously. Individual vitals may be borderline, but the combination reveals deterioration.
Coupling Assessment
Physiological Coherence
Monitors natural correlations between vital signs. Loss of coupling (decoherence) indicates autonomic failure before vital signs change.
Temporal Synchronization
Unified Reference Frame
Heart rate arrives every minute, lactate every 6 hours, vasopressor boluses unpredictably. Our proprietary system creates a unified temporal reference for precise event correlation.
Renal & Fluid Management
Reduced Alert BurdenAcute Kidney Injury
False Alarm Prevention
Hemodynamic Decoupling correctly identifies patients as stable despite abnormal renal markers.
Fluid Overload
Pulmonary Edema Prevention
Vascular Stiffness Interlock VETOES fluid administration in volume-intolerant patients to prevent drowning the lungs.
Dialysis Optimization
Dry Weight Estimation
Uses perfusion curve inflection point to determine optimal dry weight during dialysis with precision.
Complex & Comorbid Scenarios
Edge Case CoverageOpioid Suppression
Sedation-Proof Surveillance
Detects deterioration even when heart rate and respiratory drive are chemically suppressed by pain medication.
Iatrogenic Prevention
Doctor-Caused Harm
Nash Consensus Governance prevents unsafe interventions like giving fluids to heart failure patients.
Cultural Constraints
Ethical Care Boundaries
Constraint Injection Interface loads religious and ethical protocols like bloodless medicine thresholds.
Clinical Application Spectrum
A platform designed to address multiple clinical scenarios across the patient journey.
Sepsis
Renal Failure
Fluid Overload
Dialysis
Sedation
Remote Care
Aranga isn't just a monitor—it's a Safety Net for the entire hospital.
Retrospective Evaluation
Evaluated on multiple international datasets to assess performance across different populations and clinical contexts. Detailed metrics available under NDA.
MIMIC-IV
United States
Retrospective evaluation on US critical care dataset for statistical power.
VitalDB
Korea
Perioperative waveform data for signal processing validation.
Multi-center
International
Cross-demographic evaluation to assess generalization.
Retrospective Case Analysis
The following examples illustrate system behavior patterns observed in retrospective evaluation. These are not prospective clinical outcomes. Actual performance metrics and methodology are available under NDA.
Silent Pump Failure
Retrospective Observation: Patient had EF 25% on subsequent echo. In this retrospective case, Aranga identified elevated efficiency cost prior to EWS threshold breach, while BP appeared stable. (Illustrative example; not a prospective outcome claim)
Warm Shock Signature
Retrospective Observation: Blood cultures confirmed E. coli. In retrospective analysis, Aranga identified a distributive pattern prior to overt hypotension. (Illustrative example; clinical utility requires prospective validation)
Physics Veto
System Behavior: Physics-based analysis confirmed cardiac efficiency was maintained despite elevated HR. The system's governance logic suppressed alerting for this compensatory response. (Example of specificity optimization; alarm reduction metrics under NDA)
Shock Etiology Classification
Capability: Phenotype classification provides probability estimates across shock etiologies. This may support targeted workup prioritization. (Classification accuracy metrics available under NDA)
BNP Override
Integration Capability: The system can incorporate laboratory values when available to refine phenotype probability estimates. This example shows how biomarker data can shift classification confidence. (Example of multi-modal integration capability)
The “Lag Time” Trap
A 78-year-old female presents with “general malaise” and poor oral intake. Triage vitals are deceptively reassuring.
Retrospective Observation: In this retrospective case, the patient had a low EWS score at triage. The system identified a resistive phenotype pattern at initial assessment. (Illustrative example; prospective validation required to assess clinical utility)
Validation Summary
Retrospective evaluation on multiple datasets. Specific performance metrics, lead-time analysis, and methodology documentation available under NDA. Prospective validation planned.
Safety for Every Phenotype
“Aranga” means to rise in te reo Māori. We built a system that works for everyone—not just the populations overrepresented in training data.
Vascular Diversity Calibration
Calibrated across diverse patient populations. Our Stiffness Interlock ensures accurate readings for patients with varying vascular profiles.
Rheumatic Heart Disease
Patients with RHD have different vascular characteristics. Aranga's physics engine adapts to these phenotypes rather than assuming Western baselines.
Indigenous Health Equity
Standard AI is biased toward Western datasets. Aranga is validated across diverse demographics to ensure equitable care for all populations.
Cultural Protocol Injection
The External Constraint Interface loads religious and ethical protocols—from bloodless medicine thresholds to cultural care boundaries.
Whether your patient is in a metro ICU or a remote rural clinic, Aranga is designed to support equitable and culturally appropriate clinical decision-making.
Evaluated on multiple international datasets. Site-specific protocols configurable.
Command Console
The Aranga Interface
Purpose-built for high-stakes clinical environments. Configurable alert thresholds.
Partner With Us
Request technical documentation including detailed performance metrics, integration specifications, and evaluation methodology under NDA.
For engineering, clinical affairs, and regulatory teams evaluating integration.