A Dynamic Neuro-Fuzzy Model Providing Bio-State Estimation and Prognosis Prediction for Wearable Intelligent Assistants

Table 2 Example of a converging model designed to estimate states, outputs and outcomes.

Inputs	States	Outputs	Outcome
Fatigue Model: Facts: • InitFiberComp Context: • Motivation Interventions • SetHiRep60% • SetLowRep80%	CalciumConc P_i/H⁺-Conc¹ PossibleReps@80% PossibleReps@60%	PredictedRepsAt60% PredictedMax	Fmax
Adaptive Model: Facts: • InitFiberComp Context: • Diet • Injury • GenActivityLevel Interventions • WeightSession • AerobicSession • PillsSteroids	Hypertrophy Atrophy FiberComp MuscMass	PredictedStrength PredictedPower	Fmax Vmax

¹ Phosphate and pH concentration, which reflect muscle energetics and transient recovery dynamics; for Fmax, evidence suggests these are are similar in influence (if we added Vmax to the model, available scientific evidence would suggest we separate these states).

ISSN: 1743-0003