Ocular Photopic Negative Response (PhNR) Skill
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Ocular Photopic Negative Response (PhNR) Skill
Photopic Negative Response (PhNR) and Retinal Ganglion Cell Electrophysiological Analyzer based on full-field flash ERG biophysics.
flowchart TD
A[Photopic Flash ERG Signal] --> B[Extract B-Wave Peak & Latency]
A --> C[Extract PhNR Negative Trough & Latency]
B & C --> D[Compute PhNR Amplitude & PhNR / B-Wave Ratio]
D --> E{PhNR / B-Wave Ratio Threshold}
E -- >= 0.35 --> F[Normal Retinal Ganglion Cell Electrophysiology]
E -- < 0.25 --> G[Selective RGC Deficit / Glaucoma Risk]Features
Zero PIP Dependencies: Implemented strictly with Python Standard Library (
math,json,sys,typing).Inner Retinal Specificity: Selectively indexes retinal ganglion cell soma and axonal bio-signals.
Normalized Ratio Calculation: PhNR/b-wave metric resists confounding from cataracts or pupil constriction.
Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.
Related MCP server: Electroretinogram Photopic Negative Response (PhNR) Skill
Quickstart
python example_usage.pyLicense
Apache-2.0
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