Longitudinal Cardiovascular Fleet Health & Arrhythmia Prediction
CardioSaga transforms daily driving time into an unbroken longitudinal cardiovascular health study. By tracking ECG and blood pressure pulse-transit times over months and years, it identifies early arterial stiffening, chronic atrial fibrillation, and sudden impending cardiac arrest.
CardioSaga Engine Zonal Architecture
Central Controller: CardioSaga Engine — Longitudinal Cardiac Analytics Core
Zonal Control Units & TSN Ring
- Pulse Transit Time (PTT) Blood Pressure Sensor
- Atrial Fibrillation Deep Neural Classifier
- Sudden Cardiac Arrest Emergency Pull-Over
- Zonal Minimum Risk Maneuver (MRM) Link
- Encrypted Clinical Electronic Health Record (EHR)
Turning Daily Commutes into Life-Saving Clinical Diagnostic Horizons
Cardiovascular diseases develop silently over decades; by the time symptoms surface during a driving commute, acute incapacitation is often irreversible. CardioSaga builds an individual longitudinal baseline of cardiovascular physics for each driver, detecting subtle morphological ECG shifts—such as QT interval prolongation or premature ventricular contractions—months before clinical crises occur.
Core Engineering Areas
- Cuffless Blood Pressure via PTT — Calculating the precise millisecond interval between the ECG R-peak and the arrival of the arterial blood pulse at the driver's fingertip on the steering wheel.
- Atrial Fibrillation Screening — Deploying 1D convolutional neural networks that scan hundreds of hours of commute ECG traces to uncover asymptomatic paroxysmal atrial fibrillation episodes.
- Cardiac Arrest Safe-Stop Protocol — If ventricular tachycardia or asystole is detected and the driver fails a mandatory haptic steering challenge within 3 seconds, autonomous Level 4 controls take over instantly.
Technical Articles