genpark-personal-agent-cardiac-central-aortic-augmentation-index-pwa-skill

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Guvenlik Denetimi
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SUMMARY

Calculates central aortic Augmentation Pressure (AP), Augmentation Index (AIx, AIx@75), Reflection Time (Tr), and Subendocardial Viability Ratio (SEVR) for personal vascular aging and ventricular afterload monitoring.

README.md

Cardiac Central Aortic Augmentation Index (AIx) & Pulse Wave Analysis (PWA) Skill

License: Apache-2.0
Python: 3.9+
Model Context Protocol
Zero External Dependencies
Status: Production-Ready

A zero-dependency, mathematically rigorous personal agent skill that evaluates central aortic pulse wave reflections, arterial wall elasticity, and late-systolic cardiac afterload via applanation tonometry pulse wave analysis.

Architecture

flowchart TD
    A[Radial/Carotid Applanation Tonometry] --> B[Generalized Transfer Function / PWA Waveform]
    B --> C[Identify Forward Peak P1 & Late Systolic Peak P2]
    C --> D[Compute Augmentation Pressure AP = P2 - P1 & AIx]
    D --> E[Normalize to Heart Rate 75 bpm AIx@75 & Measure Tr]
    E --> F[Vascular Aging & Subendocardial Perfusion Index SEVR]

Quick Start

from client import CentralAorticAugmentationIndexClient

client = CentralAorticAugmentationIndexClient()
result = client.evaluate_pwa(
    aortic_systolic_bp_mmhg=115.0,
    aortic_diastolic_bp_mmhg=75.0,
    inflection_pressure_mmhg=105.0,
    reflection_time_tr_ms=140.0,
    heart_rate_bpm=72.0
)
print("Augmentation Index AIx@75 (%):", result["wave_reflection_kinetics"]["aix_normalized_at_75bpm_pct"])
print("SEVR (%):", result["myocardial_perfusion"]["subendocardial_viability_ratio_sevr_pct"])
print("Stiffness Class:", result["vascular_stiffness_assessment"]["stiffness_classification"])

License

Apache-2.0

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