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.
A zero-dependency, mathematically rigorous personal agent skill that evaluates lower-extremity chronic venous insufficiency (CVI), valvular competence, and calf muscle pump ejection power via Digital Photoplethysmography (D-PPG).
flowchart TD
A[Cutaneous Infrared PPG Probe] --> B[Continuous Optical Density Sampling]
B --> C[10 Active Dorsiflexions Calf Pump Ejection]
C --> D[Compute Venous Pump Power VPP = Delta V / V0]
D --> E[Track Refilling Time VRT to Baseline]
E --> F[CEAP Reflux Grading & Tourniquet Localization]Related MCP server: cutaneous-microcirculation
from client import VenousRefillingTimeClient
client = VenousRefillingTimeClient()
result = client.evaluate_venous_hemodynamics(
venous_refilling_time_seconds=28.5,
baseline_signal_mv=1000.0,
post_exercise_nadir_mv=930.0,
limb_examined="Right Leg"
)
print("VRT (s):", result["hemodynamic_metrics"]["venous_refilling_time_vrt_seconds"])
print("Venous Pump Power (%):", result["hemodynamic_metrics"]["venous_pump_power_vpp_pct"])
print("Valvular Status:", result["clinical_assessment"]["valvular_competence"])Apache-2.0
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