Transcranial Doppler Gosling Pulsatility Index (PI) Skill

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Transcranial Doppler Gosling Pulsatility Index (PI), Pourcelot Resistance Index (RI), and cerebral microvascular health.

flowchart TD
    TCD_Probe["2 MHz Transcranial Doppler Ultrasound Probe"] --> VelocityWaveform["Cerebral Blood Flow Velocity Envelope (Vs, Vd, Vm)"]
    VelocityWaveform --> IndexEquations["Gosling PI = (Vs-Vd)/Vm & Pourcelot RI = (Vs-Vd)/Vs"]
    IndexEquations --> ResistanceScore["Cerebral Microvascular Compliance Engine"]
    ResistanceScore --> Agent["OpenClaw / Hermes Personal Agent Actions"]

Features

• Deterministic Math: Pure Python standard library implementation with zero external dependencies.
• Clinical Neuro-Sonology Standards: Implements validated Gosling and Pourcelot hemodynamic formulas.
• Microvascular Aging & Compliance Biomarker: Early detection of intracranial microvascular stiffening.
• Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import CerebralPulsatilityIndexClient

client = CerebralPulsatilityIndexClient()
result = client.evaluate_cerebral_pulsatility(
    peak_systolic_velocity_cm_s=98.0,
    end_diastolic_velocity_cm_s=45.0
)
print("Gosling PI:", result["gosling_pulsatility_index_pi"])
print("Classification:", result["classification"])

License

Apache-2.0