Recovery & pulse insights.

Recovery & Readiness Heuristic

A planning aid that estimates muscle-specific readiness based on training-load accumulation and decay over time.

What this system does

  • Estimates the recovery status of individual muscle groups.
  • Accounts for primary and secondary muscle involvement (overlapping sets).
  • Adjusts recovery windows based on proximity to failure (RIR/RPE).
  • Uses muscle-specific base recovery curves (e.g., lower back vs. delts).

What it does NOT do

  • It does not measure actual physiological biomarkers or CNS fatigue.
  • It cannot predict injury or account for unlogged pain.
  • It is not a substitute for subjective feeling or coaching judgment.

The Science of Inferred Readiness

The tracker uses an 'Equivalent Set' model. Research (e.g., Vieira et al., 2021) shows that training to failure (0 RIR) significantly elongates recovery time, sometimes by 24–48 hours, compared to submaximal training.

Train Libre applies this by weighting your working sets. A set at 0 RIR is flagged as high-fatigue, extending the estimated recovery window. The system also recognizes that compound movements like bench pressing create recovery pressure not just for the chest, but also for the triceps and front delts.

Different muscle groups recover at different rates. Larger, high-load groups (like the quads or lower back) are assigned longer base windows than smaller groups (like the biceps or calves).

Why it is a guide, not a measurement

Logged data is a proxy for training stress. The heuristic cannot 'see' external factors like sleep debt, nutritional deficiencies, or systemic life stress unless they are manually logged or integrated via health services.

Subjectivity: Use the status as a data-informed suggestion. If the app says a muscle is 'Ready' but you feel significant soreness or lethargy, prioritize your body's feedback.
Novelty: New exercises or sudden volume spikes may cause disproportionate fatigue that the base heuristic may not fully capture.