Cardiac Ventricular Late Potentials (SAECG) Skill
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Cardiac Ventricular Late Potentials (SAECG) Skill
Zero-dependency sovereign personal agent skill for non-invasive evaluation of Signal-Averaged ECG (SAECG) Ventricular Late Potentials (VLPs), terminal microvolt fragmentation, and arrhythmogenic substrate screening.
flowchart TD
RawECG["High-Resolution Multilead Signal-Averaged ECG (>= 250 beats)"] --> BiFilter["Bi-Directional 40 Hz High-Pass Butterworth Filter"]
BiFilter --> VectorMag["Vector Magnitude QRS Complex: X^2 + Y^2 + Z^2"]
VectorMag --> SimsonMetrics["Simson Criteria: Filtered QRS (fQRS), RMS40 (uV), LAS40 (ms)"]
SimsonMetrics --> VLP_Check["Late Potentials Gating (>= 2 of 3 Criteria Met)"]
VLP_Check --> SynchronyScore["Myocardial Conduction Synchrony & Arrhythmic Risk Score"]
SynchronyScore --> Agent["OpenClaw / Hermes Personal Agent Recovery Guarding"]Features
Deterministic Math: Pure Python standard library implementation with zero external dependencies.
Electrophysiology Standards: Implements validated Simson 40 Hz high-pass criteria for ventricular late potentials.
Myocardial Electrical Stability: Highly sensitive detection of slow, fragmented conduction predisposing to re-entrant ventricular tachyarrhythmias.
Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.
Related MCP server: ventilatory-efficiency
Quickstart
from client import CardiacVentricularLatePotentialsClient
client = CardiacVentricularLatePotentialsClient()
result = client.evaluate_saecg(
filtered_qrs_duration_ms=98.5,
rms_40_uv=38.2,
las_40_ms=24.0
)
print("VLP Positive:", result["vlp_positive"])
print("Synchrony Score:", result["myocardial_synchrony_score"])
print("Classification:", result["classification"])License
Apache-2.0
This server cannot be deployed
Maintenance
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