From physiology to decisions
EXRT turns continuous physiological response into practical guidance for training load and recovery – by comparing current response to normal baseline.
Zone-level internal cost insight​
Recovery and adaptation trends​
Clear decision context, not raw metrics​
State Matrix
A composite view of readiness derived from multiple physiological dimensions.
Strain
Acute physiological cost of recent training intensity relative to baseline. Higher strain means sessions are demanding more internal effort than usual.
Incomplete Recovery
Degree to which physiological signals have not returned toward baseline between sessions. Elevated values suggest residual fatigue is carrying over.
Fatigue
System-wide accumulation of training stress reflected in altered response dynamics. Can rise even when external performance appears unchanged.
Overreach
Early signal that accumulated load may be exceeding current recovery capacity. Indicates increased risk if intensity is maintained.
Adaptation
Evidence that the body is responding positively to training load. Higher adaptation reflects stable or improving response patterns.
Detrain
Signs that recent stimulus may be insufficient to maintain current readiness. Typically rises during reduced load or disrupted training continuity.
How the insight is generated
High-fidelity capture, interpreted through baseline-driven models.
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1. Capture
A chest-worn ECG patch captures high-fidelity cardiac signals during training, even under movement and high-intensity load. -
2. Signal processing
Raw ECG data is cleaned, quality-checked, and transformed into physiological response features that describe how the body reacts to load. -
3. Baseline comparison models
Our models compare current response to each individual’s established baseline, focusing on deviation rather than absolute values. -
4. Decision outputs
These comparisons power outputs like the State Matrix, Zone Response, and recovery timelines — translating complex physiology into practical training decisions.