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Deterministic, zero-mock personal agent micro-skill for calculating Coronary Flow Velocity Reserve ($\text{CFVR} = V_{\text{hyper}} / V_{\text{rest}}$) and Rate-Pressure Product (RPP) to diagnose coronary microvascular dysfunction (CMD / INOCA).
flowchart TD
A[LAD Transthoracic Doppler Baseline] --> B[Measure Resting Peak Diastolic Velocity V_rest]
B --> C[Adenosine Infusion & Measure Hyperemic Velocity V_hyper]
C --> D[Compute CFVR Ratio = V_hyper / V_rest]
D --> E[Compute Rate-Pressure Product RPP]
E --> F[Classify Normal >= 2.5 vs CMD < 2.0]Related MCP server: Transcranial Doppler Gosling Pulsatility Index (PI) Skill
from client import CoronaryFlowVelocityReserveClient
client = CoronaryFlowVelocityReserveClient()
result = client.evaluate_cfvr(
resting_diastolic_velocity_cm_s=22.0,
hyperemic_diastolic_velocity_cm_s=68.0,
resting_heart_rate_bpm=68.0,
resting_systolic_bp_mmhg=118.0
)
print(result)Apache-2.0
Cardiopulmonary exercise test (CPET) analysis: ventilatory thresholds, metrics and substrate use.
Fuses biometric signals into a stress score (0-100) for AI adaptation. MCP + A2A native.
Lifestyle medicine health intelligence via x402 micropayments. 637+ peer-reviewed references.
Private health and fitness analytics through a secure remote MCP connection.
