Cerebral Autoregulation & Transient Hyperemic Response Ratio (THRR) Skill

Zero-dependency sovereign personal agent skill for non-invasive evaluation of Transcranial Doppler (TCD) Transient Hyperemic Response Ratio (THRR), carotid compression velocity drops, and cerebral dynamic autoregulatory reserve.

flowchart TD
    TCD_MCA["Baseline Transcranial Doppler MCA Mean Velocity (FV1)"] --> Compression["Transient Carotid Perfusion Dip (FV2, drop >= 25%)"]
    Compression --> Release["Compression Release -> Reactive Hyperemia (FV3)"]
    Release --> CalcTHRR["Transient Hyperemic Response Ratio (THRR = FV3 / FV1)"]
    CalcTHRR --> ReserveScore["Dynamic Autoregulation & Arteriolar Dilatory Reserve"]
    ReserveScore --> Agent["OpenClaw / Hermes Personal Agent Postural Guarding"]

Features

• Deterministic Math: Pure Python standard library implementation with zero external dependencies.
• Neurovascular Standards: Implements validated equations for TCD flow velocities, compression drop percentage, and Giller THRR ratios.
• Dynamic Autoregulation Screening: Detects early loss of myogenic and endothelial arteriolar vasodilatory capacity.
• Model Context Protocol (MCP): Native JSON-RPC tool integration for LLMs and autonomous agents.

Quickstart

from client import CerebralAutoregulationTHRRClient

client = CerebralAutoregulationTHRRClient()
result = client.evaluate_thrr(
    baseline_flow_velocity_cm_s=62.0,
    compression_flow_velocity_cm_s=40.0,
    hyperemic_peak_flow_velocity_cm_s=78.5
)
print("THRR Ratio:", result["transient_hyperemic_response_ratio"])
print("Autoregulatory Score:", result["autoregulatory_reserve_score"])
print("Classification:", result["classification"])

License

Apache-2.0