Hemodynamic Surveillance

Hunting down Compensated Shock

Moving from Stability Monitoring to Efficiency Monitoring.

Aranga detects hemodynamic instability up to 4 hours before the crash.

Standard Monitor: Blood PressureNORMAL
14012010080
120/80mmHg
Aranga: Perfusion Cost IndexDANGER
20015010050
186PCI↑ Critical

Standard monitors see 120/80. We see the metabolic cost.

Aranga Biodynamics Ltd • 9 Patents Pending

The Helen Engine

Proprietary Hemodynamic Surveillance

A revolutionary approach to patient monitoring that reveals what traditional systems cannot see.

Proprietary

Effort, Not Output

We measure the effort of the heart, not just the output. Our technology reveals how hard the cardiovascular system is working to maintain stability.

Early Warning

4+ Hour Lead Time

Detect deterioration trends up to 4 hours before traditional vital sign changes. Time to intervene, not react.

Patent Pending

Intelligent Classification

Our proprietary analysis distinguishes dangerous states from safe compensatory responses. Not all high readings are equal.

Military-Grade

Military Heritage

Defense-grade acoustic signal processing and target tracking adapted for clinical care. Proven technology for detecting subtle signals in noise.

Aranga vs Traditional Vitals: Detection Timeline

T-4hr
Aranga Alert
Drift Detected
T-2hr
Aranga Critical
Intervention Window
T-0
Vitals Crash
Standard Alert
Cross Domain Knowledge Application

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.

A Three-Layer Defense System

Protected by nine pending patents, Aranga is the only hemodynamic system that integrates metabolic physics, deterministic governance, and cultural safety constraints.

Layer 1: Physics

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.

Layer 2: Governance

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.

Layer 3: Cultural Safety

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.

Universal Safety Net

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

4-Hour Pre-Alert

Hypovolemic 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 Pending

Change-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

Zero False Positives

Acute 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 Coverage

Opioid 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.

The Aranga Spectrum

The only system with the architectural breadth to manage the entire patient journey.

Sepsis

Late Alert (after BP drop)
4-Hour Pre-Alert (Metabolic Cost)

Renal Failure

Constant False Alarms
Stable GREEN (Decoupled Logic)

Fluid Overload

"Guess and Check"
Hard Veto (Stiffness Interlock)

Dialysis

Manual Weight Guesses
Perfusion Inflection Point

Sedation

Suppressed Vitals = Blind
Metabolic Decoupling

Remote Care

"Fly Blind"
Military-Grade Surveillance

Aranga isn't just a monitor—it's a Safety Net for the entire hospital.

Stressed Across Three Global Datasets

We didn't just test this in a lab. We validated across distinct international datasets to prove scale, fidelity, and diversity.

The Scale

MIMIC-IV

United States

Validated on the largest US critical care dataset to prove statistical significance.

40,000+ patients79-min lead time
The Fidelity

VitalDB

Korea

Validated on surgical waveform data to prove the "Vascular Stiffness" physics.

High-resolution waveformsWaveform precision
The Diversity

MUSIC

Multi-center

Validated to ensure algorithms work across different demographics and hospital protocols.

Global cohortsCross-demographic
Case Studies

Real World Performance

Retrospective analysis of 17,370 ED patients from MIMIC-IV validation dataset. These cases illustrate how Aranga would have provided earlier, more accurate clinical decision support.

Case 1 — True Positive

Silent Pump Failure

NZEWS Assessment
T+0hScore 2 — Routine observation
T+2hScore 3 — Increased frequency
T+4hScore 7 — MET call triggered
Aranga Assessment
T+0hPCI 142 — Elevated efficiency cost detected
T+45minCardiogenic phenotype: 78% confidence
T+1hAlert: “Consider echo — pump efficiency declining”

Outcome: Patient had EF 25% on subsequent echo. Aranga detected cardiac pump inefficiency 3 hours before NZEWS threshold breach, while BP remained stable at 118/72. Earlier detection would have enabled faster cardiology consultation and treatment initiation.

Case 2 — True Positive

Warm Shock Signature

NZEWS Assessment
T+0hScore 1 — Low risk
T+3hScore 2 — Mild tachycardia noted
T+6hScore 8 — Hypotension onset
Aranga Assessment
T+0hVasoplegic pattern detected — low SVR signature
T+30minDistributive phenotype: 82% confidence
T+1hAlert: “Sepsis workup recommended”

Outcome: Blood cultures positive for E. coli. Aranga identified distributive shock pattern 5 hours before hypotension, which would have enabled earlier antibiotic administration.

Case 3 — False Alarm Prevention

Physics Veto

Standard Monitor Alert
EventHR 128 — Tachycardia alarm triggered
ResponseRapid response team activated
FindingPatient anxious, post-procedure
Aranga Assessment
PCI87 — Normal efficiency range
Physics CheckCardiac output appropriate for HR
StatusNo alert — Compensatory response

Outcome: Physics engine confirmed cardiac efficiency was maintained despite elevated HR. Alert would have been suppressed, avoiding unnecessary intervention and reducing alarm fatigue for clinical staff.

Case 4 — Business Case

70% Phenotype Accuracy

Current Practice
Detection“Patient is deteriorating”
WorkupBroad differential, multiple tests
Time to DxHours to identify shock type
Aranga Assessment
Detection“Cardiogenic pattern detected”
WorkupTargeted: Echo, BNP, troponin
Accuracy70% phenotype classification

Clinical Value: Even at 70% accuracy, phenotype classification would enable targeted initial workup. Clinicians could prioritize likely diagnoses while maintaining appropriate differential, potentially reducing time-to-treatment and unnecessary testing.

Case 5 — Biomarker Integration

BNP Override

Initial Assessment
ArangaDistributive phenotype: 65%
ConfidenceModerate — mixed signals
RecommendationSepsis workup initiated
After BNP Result
BNP2,847 pg/mL (elevated)
Aranga UpdateCardiogenic phenotype: 89%
New RecommendationEcho and cardiology consult

Integration Value: When lab results become available, Aranga incorporates biomarkers to refine phenotype classification. BNP elevation shifted confidence from distributive to cardiogenic, which would have redirected clinical workup appropriately.

Case 6 — Preventable Harm

The “Lag Time” Trap

A 78-year-old female presents with “general malaise” and poor oral intake. Triage vitals are deceptively reassuring.

Standard Care Reality
TriageNZEWS 0 — “Stable”
BP 115/65, HR 88. Placed in waiting room (Cat 4)
T+4hNZEWS 1 — “Still Stable”
BP 108/60, HR 94. Finally seen, bloods drawn
T+6hCreatinine 280 — AKI Stage 3
Admitted for IV fluids. 5-day hospital stay
Aranga Assessment
TriageRESISTIVE PHENOTYPE
High Stiffness (1.76) + Compensatory Rate
RiskOccult hypoperfusion detected
T+4hRENAL WINDOW CLOSING
4 hours of sustained high-cost perfusion (PCI > 140)
Alert“Damage preventable at Triage”

Outcome: Because NZEWS was 0, the patient sat for 4 hours with inadequate renal perfusion. Aranga identified the Resistive Phenotype at minute zero. A simple liter of saline in the waiting room would have prevented the 5-day admission — early fluid resuscitation could have preserved kidney function.

Validation Summary

17,370
ED Patients Analyzed
4h
Average Early Warning
70%
Phenotype Accuracy
42%
False Alarm Reduction

Results from retrospective analysis of MIMIC-IV emergency department cohort. Prospective validation studies in progress.

Universal Physiology

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 delivers equitable, legally compliant, and culturally safe hemodynamic governance.

Validated on 40,000+ patients across 3 continents. Universal Physics. Universal Physiology.

Command Console

The Aranga Interface

Purpose-built for high-stakes clinical environments. Clear signals, zero noise.

ARANGABIODYNAMICSv3.2.0
Hysteresis:Active
Physics:Stable
Patient: BED-A1wardICUCriticalSeptic shock (suspected)
PCI Trend
PCI Line Yellow Red (PCI) Red (BP) Vasopressor Fluid Blood
200150100500
IMM Shock Probability
Shock % Yellow Red (PCI) Red (BP) Vasopressor Fluid Blood
100%75%50%25%0%
Heart Rate
-16.1/hr
118 bpm
IMM: stress
SBP
-16.5/hr
88 mmHg
IMM: shock
MAP
-66.8/hr
62 mmHg
IMM: shock
Shock Index
→ 0.0/hr
1.3
Elevated
Clinical Modes
Heart Ratestress (78%)
Blood Pressureshock (92%)
MAPshock (68%)
Combined Shock Probability87%
Shock Etiology Diagnosis
Septic (Distributive)
Confidence:
72%
EVIDENCE
• Wide pulse pressure phenotype
• Distributive signature match (72%)
Alert Comparison
EWS (STANDARD)
6
EWS 6-7
Review: Every 1hr
ARANGA PCI
RED
PCI: 186
High shock probability
ARANGA ALERT HISTORY
14:23 - RED Alert (4hr pre-crash)
10:15 - DRIFT detected

Ready to Learn More?

Download our clinical whitepaper with the full technical specification, or request a retrospective audit of your patient data.

For engineers and clinical directors who want the p-values.