genpark-personal-agent-cerebral-tissue-oxygenation-nirs-rso2-skill

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
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SUMMARY

Deterministic personal agent skill for monitoring frontal cerebral regional tissue oxygenation (rSO2), fractional tissue oxygen extraction (FTOE), and cognitive endurance.

README.md

Frontal Cerebral Regional Tissue Oxygenation (NIRS rSO2) Skill

License: Apache-2.0
Python 3.10+
Zero Dependencies
MCP Protocol Ready
OpenClaw Certified

Zero-dependency sovereign personal agent skill for non-invasive calculation of frontal cerebral tissue oxygen saturation (rSO2), Fractional Tissue Oxygen Extraction (FTOE), and cognitive endurance kinetics.

flowchart TD
    FrontalNIRS["Multi-Wavelength Prefrontal NIRS Sensors"] --> BeerLambert["Modified Beer-Lambert HbO2/HbR Absorption"]
    BeerLambert --> rSO2_FTOE["rSO2 Saturation & FTOE Extraction Modeling"]
    rSO2_FTOE --> ReserveScore["Prefrontal Oxygenation Reserve Engine"]
    ReserveScore --> Agent["OpenClaw / Hermes Personal Agent Actions"]

Features

  • Deterministic Math: Pure Python standard library implementation with zero external dependencies.
  • NIRS Standard Equations: Implements validated spectroscopic equations for regional cerebral oxygenation.
  • Cognitive Exhaustion Stratification: Quantitative evaluation of microvascular supply vs demand in intense work.
  • Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import CerebralTissueOxygenationClient

client = CerebralTissueOxygenationClient()
result = client.evaluate_cerebral_oxygenation(
    frontal_rso2_pct=69.5,
    systemic_spo2_pct=99.0,
    baseline_rso2_pct=70.0
)
print("Frontal rSO2:", result["frontal_rso2_pct"], "%")
print("Classification:", result["classification"])

License

Apache-2.0

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