Personal Agent Grip Strength Frailty Velocity Skill

Zero-dependency isometric grip dynamometry modeler, PURE study mortality hazard quantifier, bilateral asymmetry indexer, and neuromuscular motor drive fatigue evaluator.

Architecture

flowchart TD
    GripInput[Dominant & Non-Dominant Grip kg, Age, Sex, BW] --> DynamometryEngine[Isometric Dynamometry Engine]
    DynamometryEngine --> RGSCalc[Relative Grip Strength: kg / Bodyweight]
    DynamometryEngine --> AsymmetryCalc[Bilateral Asymmetry %: Dominant vs Non-Dominant]
    DynamometryEngine --> PUREModeler[PURE Study Mortality Hazard Ratio: Exp Deficit]
    TrialSeries[Repeated Isometric Trial Series kg] --> FatigueEngine[Neuromuscular Fatigue Modeler]
    FatigueEngine --> CentralDrive[Fatigue Slope & Central Motor Drive Status]

Quickstart

from client import PersonalAgentGripStrengthFrailtyVelocity

agent = PersonalAgentGripStrengthFrailtyVelocity()
res = agent.evaluate_grip_strength_and_frailty(dominant_hand_kg=51.0, non_dominant_hand_kg=47.0, age=42, bodyweight_kg=75.0)
print(f"RGS: {res['relative_grip_strength_rgs']} | Sarcopenia Risk: {res['clinical_sarcopenia_risk']}")