Video Head Impulse Test (vHIT) & Vestibular Gain Skill
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Video Head Impulse Test (vHIT) & Vestibular Gain Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of video Head Impulse Test (vHIT) angular vestibulo-ocular reflex (VOR) gain, overt/covert saccade quantification, and gaze stability.
flowchart TD
HeadMotion["High-Frequency Angular Head Impulse (>150 deg/s)"] --> OpticalPupil["Pupil & Eye Compensatory Slow Phase"]
OpticalPupil --> VOR_Math["VOR Gain Calculation (Eye Vel / Head Vel)"]
VOR_Math --> SaccadeAudit["Catch-Up Saccade Area & Gaze Stability Engine"]
SaccadeAudit --> Agent["OpenClaw / Hermes Personal Agent Actions"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Clinical Neuro-Otology Standards: Implements validated algorithms for high-frequency angular canal excitation.
Dynamic Visual Acuity & Motion Sickness Stratification: Direct quantification of retinal slip and vestibular compensation.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Pupillary Light Reflex MCP Server
Quickstart
from client import VestibularHeadImpulseClient
client = VestibularHeadImpulseClient()
result = client.evaluate_vhit(
head_velocity_deg_s=195.0,
eye_velocity_deg_s=188.0,
overt_saccades_count=0
)
print("VOR Gain:", result["vor_gain"])
print("Classification:", result["classification"])License
Apache-2.0
This server cannot be deployed
Maintenance
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