A
licenseNot graded
qualityB
maintenanceEnables deterministic evaluation of MMG amplitude and spectral metrics, electromechanical delay, and peripheral muscular fatigue kinetics through native JSON-RPC tools for LLMs and autonomous agents.
7
MIT
Somatosensory F-Wave Chronodispersion Skill
by Alpha-Park
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.
Somatosensory F-Wave Chronodispersion Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Electroneuromyography (ENMG) F-wave chronodispersion (Fmax - Fmin in ms), persistence (%), and proximal motor nerve root conduction integrity.
flowchart TD
SupramaxStim["Supramaximal Distal Motor Nerve Stimulation"] --> OrthoM["Orthodromic Direct Motor Muscle Action Potential (M-Wave)"]
SupramaxStim --> Antidromic["Antidromic Conduction Ascending Motor Axons to Spinal Cord"]
Antidromic --> MotoneuronBackfire["Anterior Horn Alpha Motoneuron Recurrent Discharge"]
MotoneuronBackfire --> LateFWave["Late Recurrent Motor Wave (F-Wave Series)"]
LateFWave --> ChronoDisp["Chronodispersion Extraction (Fmax - Fmin) & Persistence"]
ChronoDisp --> ProximalScore["Proximal Motor Nerve Root & Demyelination Score"]
ProximalScore --> Agent["OpenClaw / Hermes Personal Agent Postural Guarding"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Clinical Neurophysiology Standards: Implements validated equations for minimal/maximal F-wave latencies, chronodispersion, and central conduction times.
Proximal Radiculopathy & Demyelination Screening: Sensitive detection of proximal nerve root compression or polyneuropathic conduction dispersion.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: Cutaneous Tactile Sensitivity & Mechanical Allodynia (Von Frey) MCP Server
Quickstart
from client import SomatosensoryFWaveChronodispersionClient
client = SomatosensoryFWaveChronodispersionClient()
result = client.evaluate_f_wave(
f_min_latency_ms=26.4,
f_max_latency_ms=29.8,
f_persistence_pct=90.0
)
print("Chronodispersion:", result["f_chronodispersion_ms"], "ms")
print("Proximal Motor Score:", result["proximal_motor_score"])
print("Classification:", result["classification"])License
Apache-2.0
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues
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