Elite Physio Sport Twin

Elite athlete recovery prediction demonstrator using personalised N-of-1 baselines, continuous physiological monitoring and a digital-twin recovery trajectory.

Interactive concept simulator — synthetic decision logic, not a validated medical device
DIGITAL TWIN RECOVERY STATE
78 /100
Recovery is progressing, but the athlete remains below personalised optimal readiness.
MODERATE RECOVERY CONSTRAINT
Performance Deviation Index
12%
Estimated deviation from the athlete's own expected performance envelope. Lower is better.
Fatigue–Injury Risk
18%
Modelled probability of fatigue-associated strain or overuse vulnerability in the next 48 hours.
Readiness Score
78
Composite personalised recovery state integrating sleep, autonomic recovery, load and symptoms.
Hydration & Thermal Stress
24%
Estimated current vulnerability attributable to hydration deficit and thermal burden.

Predicted recovery trajectory

The twin projects readiness from the current state toward the athlete's personalised baseline over 48 hours. The dashed reference is the athlete's normal optimal envelope.

Primary drivers

14-day synthetic performance and recovery history

Historical values are synthetic and athlete-specific. They illustrate how the N-of-1 model can learn the athlete's normal response to training load, autonomic change and recovery over time.
Day Load % HRV Δ % Sleep % Readiness FIR %

24–48 hour performance decision support

READINESS IN 24 H
86 /100
Likely suitable for controlled high-quality training.
READINESS IN 48 H
92 /100
Expected return to personalised performance envelope.
ESTIMATED RECOVERY TIME
31 h
Time to reach a modelled readiness ≥90, subject to no additional high-load session.

How this demonstrator works

This prototype uses transparent synthetic equations to demonstrate the intended product behaviour. It includes a 14-day synthetic athlete history to show how an N-of-1 model could learn longitudinal response patterns. It does not claim validated injury prediction. Each input is interpreted relative to the athlete's N-of-1 baseline. The simulator combines autonomic deviation, resting heart-rate change, sleep quality, training load, soreness, hydration, heat exposure and adherence into four product-specific indicators. A simple recovery model then estimates movement back toward the athlete's personalised optimal state over 24–48 hours. A production version would replace these illustrative weights with prospectively validated model parameters learned from Infinity Watch data, training/session data and athlete outcomes.