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genpark-personal-agent-pulmonary-alveolar-dead-space-bohr-enghoff-skill

genpark-personal-agent-pulmonary-alveolar-dead-space-bohr-enghoff-skill

by Alpha-Park
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Pulmonary Alveolar Dead Space (Bohr-Enghoff) Skill

License Python OpenClaw GenPark MCP

Physiological Alveolar Dead Space Fraction ($V_D / V_T$) and Alveolar Gas Exchange Calculator based on the Bohr-Enghoff formulation.

flowchart TD
    A[Arterial PaCO2 & Mixed Expired PECO2] --> B[Compute V_D / V_T = PaCO2 - PECO2 / PaCO2]
    C[Barometric Pressure & FiO2] --> D[Alveolar Gas Equation: PAO2]
    D & E[Arterial PaO2] --> F[Alveolar-Arterial Gradient: P A-a O2]
    B & F --> G[Ventilation-Perfusion Matching Evaluation]

Features

  • Zero PIP Dependencies: Implemented strictly with Python Standard Library (math, json, sys, typing).

  • Standard Bohr-Enghoff Formula: Resolves arterial-to-expired carbon dioxide gradient into non-perfused alveolar fraction.

  • Alveolar Gas Equation: Age-adjusted physiological shunt and diffusion gradient analysis.

  • Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.

Related MCP server: ventilatory-efficiency

Quickstart

python example_usage.py

License

Apache-2.0

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