This paper introduces Coherence Intelligence (CI), a formal measurement architecture designed to detect the pre-decompensation structural state in human systems — the compensatory masking phase in which a system maintains apparent performance by suppressing the physiological cost of doing so. This state is invisible to all current wearable health platforms.CI operates across three coherence domains (Bio-coherence, Interior Coherence, and Integrative Coherence) unified by a formal measurement pipeline. Four structural primitives (Ache, Shimmer, Override, Structural Integrity) extract upstream signals from continuous wearable data. Four Meaning-conditioned operators (Stability, Recovery, Trajectory Extension, Rupture-Risk) transform primitives into five outputs: a Coherence Index, Regime Classification, Perturbation and Cost Map, Trajectory Forecast, and Rupture-Risk with Recovery Curve.The architecture’s defining capability is Override detection — identification of a compensatory masking force that fires into Pre-Rupture regime while HRV remains within normal range, establishing a 13-hour structural detection window prior to physiological decompensation. A synthetic reference specimen (MOP-1) is provided as the canonical calibration anchor. The architecture is presented at Level 1 validation (simulation-anchored calibration). Empirical calibration is the designated next step. The field is invited to engage.This work rests on Technical Canons I and II (Zenodo doi:10.5281/zenodo.18824674 and doi:10.5281/zenodo.18828302).
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Ronald Brogdon
Stratasys (Israel)
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Ronald Brogdon (Mon,) studied this question.
www.synapsesocial.com/papers/69b2586696eeacc4fcec7ff8 — DOI: https://doi.org/10.5281/zenodo.18927397
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