A quiet early-warning signal for sudden cardiac events.
Sudden cardiac death claims hundreds of thousands of lives each year, and the early warning is rarely loud.
Geometric entropy of cardiac dynamics is a candidate early-warning channel —
quiet enough to miss with conventional monitoring, structured enough to detect with the right mathematics.
Before we filed, we recomputed every number against real data.
The early draft of the specification carried entropy values from a simulation that, on inspection, could not access the underlying clinical dataset.
We re-ran the entire computation against real PTB-XL ECG recordings.
The discrepancy was material. The headline narrative did not survive the real data.
Pre-filing data correction triggered.
A narrower claim, grounded in real measurement.
Conduction-disturbance ECG recordings show a real and statistically significant collapse in geometric entropy relative to the healthy baseline —
a structurally distinct attractor signature, not a noise artifact.
The effect is large, the sample is real, the statistic is honest.
The corrected docket is narrower than the draft, and every surviving claim is bound to real clinical measurement.
The correction is a public artifact in the filing packet.
This is what scientific-integrity discipline looks like in pre-flight.
The original draft is archived. The revised claims are scoped to what real data actually supports.
No partner has to take our word for the validation — the receipts live in the docket itself, alongside the spec.
The IP that ships is what survives our own pre-flight.
Oregon Coast AI LLC. Inventor: Kenneth A. Mendoza.
Contact: ken at kenmendoza dot com.
For licensing, technology transfer, or collaboration discussions.