Military Engineering Meets Clinical Science
Signal processing techniques with defense research heritage, applied to identify hemodynamic risk patterns from routine vital sign data.
Origin Story
From Submarines to Heartbeats
The same principles that track silent submarines can detect silent patient deterioration.
Anti-Submarine Warfare
Modern submarines are designed to be invisible. They minimize acoustic signatures, exploit thermal layers, and move unpredictably. Detecting them requires analyzing subtle patterns across multiple noisy data streams.
- Track faint signals in overwhelming noise
- Predict movement from incomplete data
- Maintain track through maneuvers
Hemodynamic Surveillance
Occult shock hides behind stable vital signs. The cardiovascular system compensates silently until it can't. Our algorithms detect the compensation itself—the “effort” of stability—before failure occurs.
- Detect compensatory patterns in vitals
- Predict deterioration trajectory
- Maintain tracking through interventions
Defense-Grade Technology
The same mathematical principles that protect military fleets now protect your patients.
9 Patents Pending
Core Technology
Physics-Based Detection
Patent-pending methods for analyzing physiological trajectories and identifying risk patterns in vital sign data.
Temporal Synchronization
Patent Pending
Patient data arrives at irregular intervals from multiple sources. Our proprietary system creates a unified temporal reference for precise event correlation.
Key Features
- Synchronizes asynchronous data streams
- Handles missing data gracefully
- Maintains temporal coherence across sensors
- Enables retrospective analysis
Multi-State Detection
Patent Pending
Our proprietary engine evaluates multiple physiological states simultaneously, enabling detection of transitions before they fully manifest in vital signs.
Model States
Vascular Compliance Assessment
Patent Pending
Not all elevated blood pressure is dangerous. Our proprietary assessment distinguishes healthy compensatory responses from dangerous states that precede collapse.
Healthy compensation. Patient has reserve capacity.
Elevated pressure masks critical state. Intervention needed.
Validation
Tested on Real Clinical Data
Our algorithms have been validated against the largest publicly available critical care database.
MIMIC-IV Critical Care Database
MIMIC-IV (Medical Information Mart for Intensive Care) contains de-identified health data from over 40,000 patients admitted to Beth Israel Deaconess Medical Center. It represents the gold standard for critical care algorithm validation.
Case Studies
Real World Performance
Retrospective analysis of actual patient cases from our validation dataset.
The Occult Sepsis Catch
Early Detection
A 58-year-old post-surgical patient with stable vitals. Standard monitoring showed no concerns.
Timeline Comparison
Outcome
Aranga detected compensatory changes before standard vitals alarmed. (Retrospective analysis; timing varies by case.)
The Renal Failure False Alarm Prevention
False Alarm Prevention
A 72-year-old with chronic kidney disease. Elevated creatinine triggered concern.
Timeline Comparison
Outcome
Aranga correctly identified that elevated numbers reflected chronic adaptation, not acute deterioration. Unnecessary intervention can be avoided.
Want to see how Aranga would perform on your patient data?
Request Retrospective Audit