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Zero-dependency sovereign personal agent skill for non-invasive evaluation of Cervical Vestibular Evoked Myogenic Potentials (cVEMP), p13-n23 peak latencies, Interaural Asymmetry Ratio (IAR), and saccular otolith integrity.
flowchart TD
AcousticStim["Acoustic 500 Hz Tone Burst Stimulus"] --> SaccularMacula["Saccular Macula Otolith Activation"]
SaccularMacula --> InfVestibular["Inferior Vestibular Nerve Conduction"]
InfVestibular --> Vestibulocollic["Vestibulospinal Reflex Arc"]
Vestibulocollic --> SCM_EMG["Sternocleidomastoid (SCM) Inhibitory Dip (p13-n23)"]
SCM_EMG --> MathIAR["Interaural Asymmetry Ratio (IAR) Calculation"]
MathIAR --> Agent["OpenClaw / Hermes Personal Agent Actions"]Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Vestibular Electrophysiology Standards: Formulates p13 and n23 peak latencies, background tonic SCM EMG normalization, and Jongkees interaural asymmetry.
Saccular Otolith Resilience: Detects unilateral vestibular hypofunction, Tullio phenomenon, and linear acceleration perception decline.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: vHIT Vestibular Gain MCP Server
from client import CervicalVEMPClient
client = CervicalVEMPClient()
result = client.evaluate_cvemp(
p13_latency_ms=13.2,
n23_latency_ms=22.4,
peak_to_peak_amplitude_uv=84.5,
contralateral_amplitude_uv=79.0,
mean_background_emg_uv=62.0
)
print("Interaural Asymmetry Ratio:", result["interaural_asymmetry_ratio_pct"], "%")
print("Classification:", result["classification"])Apache-2.0
This server cannot be deployed
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