Coherence Infrastructure (CI)

Protocol Preregistration // Status: Gathering

1. Executive Summary

Coherence Infrastructure is a reproducible, open-source experimental framework designed to study the physiological markers of sustained human attention and structured focus. By standardizing physical and cognitive protocols, this program quantifies how specific linguistic structures and biophysical positioning affect the Autonomic Nervous System (ANS), specifically measuring Heart Rate Variability (HRV) and phase-locking coherence.

This repository serves as the public, institutional hub for the research program. It houses our technical documentation, experimental designs, pilot protocols, and (eventually) anonymized datasets.

2. Research Boundaries (Scope)

To ensure absolute scientific rigor and ethical compliance, this program operates under strict boundaries:

• No Therapeutic Claims: CI is an engineering and systems research project, not a medical intervention. We do not diagnose, treat, cure, or prevent any disease.
• Structural Focus: We measure the "infrastructure" of attention—latencies, inputs, and outputs—stripped of subjective interpretations.
• Data Sovereignty: All biometric telemetry collected is strictly Local-First, cryptographically hashed, and fully anonymized before any analysis.

3. Hypothesis (H1)

Repeated exposure to structured attentional protocols (induced frequencies and standardized biophysical positioning) generates a quantifiable physiological coherence signature. This coherence correlates with increased stability in the parasympathetic nervous system (specifically, an increase in rMSSD and pNN50 metrics).

4. Experimental Design

• Population (n): Initial pilot n ≥ 24 healthy subjects.
• Intervention: Daily 15-minute sessions applying the Structured Coherence Protocol for 21 consecutive days.
• Control Group: Active group subjected to placebo stimuli (white noise and passive reading).
• Environment: Isolated, external-distraction-free, standardized seated position.

5. Data Architecture & Telemetry

Primary observation relies on non-invasive photoplethysmography (PPG) or thoracic strap sensors. All records are anonymized at origin via cryptographic hashing. Datasets are exported in structured CSV format for Python/R analysis.

Log Format:

timestamp, participant_id_hash, rmssd, sdnn, session_duration_s, control_flag

6. Collaboration & Reproducibility

We actively invite collaboration from data scientists specializing in biological time-series, hardware engineers (open-source biosensors), and independent Institutional Review Boards (IRB). To protect our research from uncredited commercial exploitation, the analysis code and methodologies will be published under the Elastic License 2.0 (ELv2).