Forced Oscillation Technique (FOT / IOS) MCP Server
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Forced Oscillation Technique (FOT / IOS) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Forced Oscillation Technique (FOT / IOS) airway resistance, peripheral impedance, and lung mechanics.
flowchart TD
AcousticPulse["Acoustic Pressure Waveform (5 - 35 Hz)"] --> FlowTransducer["Mouth Pressure & Flow Measurement"]
FlowTransducer --> ImpedanceCalc["Respiratory Impedance Spectrum Zrs = R + jX"]
ImpedanceCalc --> FOT_Metrics["R5, R20, R5-R20, Fres & X5 Extraction"]
FOT_Metrics --> ScoreEngine["Pulmonary Impedance & Airway Health Engine"]
ScoreEngine --> Agent["OpenClaw / Hermes Personal Agent Actions"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Effort-Independent Respiratory Mechanics: Validated IOS formulas assessing resistance without forced exhalation maneuvers.
Peripheral Small-Airway Obstruction Stratification: Early detection of bronchiolar narrowing and particulate irritation.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Hypercapnic Ventilatory Response (HCVR) Skill
Quickstart
from client import PulmonaryOscillometryClient
client = PulmonaryOscillometryClient()
result = client.evaluate_respiratory_impedance(
resistance_5hz_cmh2o_l_s=3.15,
resistance_20hz_cmh2o_l_s=2.70
)
print("Peripheral Resistance R5-R20:", result["peripheral_frequency_dependence_r5_r20"])
print("Classification:", result["classification"])License
Apache-2.0
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