Micro-Drift refers to subtle, directional shifts in biomarker data over time — e.g., resting heart rate creeping up by 2 bpm over several nights, or HRV trending down. These small changes often precede noticeable illness or performance decline.
Key Points
- •Early warning — micro-drift can signal stress, infection, or overtraining before symptoms
- •Noise vs. signal — requires sufficient data quality and baseline to distinguish
- •Predictive modeling — AI can detect micro-drift patterns and flag anomalies
In ONDA Life
The AI Biomarker Tracking article covers protocols for detecting micro-drift and predictive anomaly detection.