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Medial Olivocochlear (MOC) Efferent Acoustic Reflex Skill

Medial Olivocochlear (MOC) Efferent Acoustic Reflex Skill

by alphaparkinc
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Python
Remote

Medial Olivocochlear (MOC) Efferent Acoustic Reflex Skill

License Python OpenClaw GenPark MCP

Medial Olivocochlear (MOC) Efferent Acoustic Reflex and Contralateral OAE Suppression Analyzer based on auditory biophysics.

flowchart TD
    A[Baseline OAE in Quiet] --> B[Record Contralateral CAS Suppression]
    B --> C[Compute Efferent Delta: Baseline - CAS dB SPL]
    C --> D[Compute Linear Voltage Damping %]
    D --> E{Suppression Delta Threshold}
    E -- >= 1.0 dB --> F[Robust Cochlear Efferent Protection]
    E -- < 0.5 dB --> G[Blunted Suppression / Efferent Vulnerability]

Features

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

  • Acoustic Efferent Modeling: Quantifies outer hair cell electromotility damping under contralateral noise.

  • Artifact Protection: Checks for acoustic middle-ear stapedial reflex contamination at high sound levels.

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

Related MCP server: Distortion Product Otoacoustic Emissions (DPOAE) Skill

Quickstart

python example_usage.py

License

Apache-2.0

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Resources

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