Cardiac Systolic Time Intervals (PEP/LVET) & Inotropy Skill

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Pre-Ejection Period (PEP), Left Ventricular Ejection Time (LVET), Weissler rate-corrected indices, and myocardial inotropic kinetics.

flowchart TD
    ECG_PCG["ECG & Phonocardiography / ICG Sensors"] --> PEP_LVET["Systolic Time Intervals Extraction"]
    PEP_LVET --> Weissler["Weissler Equations (PEPI, LVETI, PEP/LVET)"]
    Weissler --> Inotropy["Myocardial Inotropic Efficiency Analysis"]
    Inotropy --> Agent["OpenClaw / Hermes Personal Agent Actions"]

Features

• Deterministic Math: Pure Python standard library implementation with zero external dependencies.
• Weissler Standard Indices: Automatic rate correction according to standard non-invasive cardiography formulas.
• Inotropic Performance Stratification: Quantitative evaluation of sympathetic vs depressed myocardial contractility.
• Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import SystolicTimeIntervalsClient

client = SystolicTimeIntervalsClient()
result = client.evaluate_systolic_intervals(
    pep_ms=96.0,
    lvet_ms=295.0,
    heart_rate_bpm=70.0
)
print("PEP/LVET Ratio:", result["pep_lvet_ratio"])
print("Classification:", result["classification"])

License

Apache-2.0