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Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models.

PMID 36991963 (2023): heart rate variability, wearable — Recovery speed (study note for endurance athletes).

Last updated/Feb 23, 2026, 11:13 PM

Study note • PMID 36991963

Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models.

Sensors (Basel, Switzerland)2023 • DOI 10.3390/s23063251
Evidence C60/100
Action 2: Consider

Worth trying if it fits your goal and context.

ELI5

In plain language

Wearable Heart Rate monitors are used in sports to provide physiological insights into athletes' well-being and performance. (controlled study; n=856 athletes).

The abstract suggests a positive effect on Recovery speed under the tested conditions. Treat this as a signal, not a guarantee; confirm methods and context in the full paper.

Takeaways

What the abstract suggests

  • Study question: Wearable Heart Rate monitors are used in sports to provide physiological insights into athletes' well-being and performance.
  • The abstract suggests a positive effect on Recovery speed under the tested conditions.
  • Population: n=856 athletes.
  • Protocol cues: abstract may omit dose/timing; use the full paper to replicate accurately.

Protocol

Protocol (as reported)

  • Intervention/exposure: heart rate variability, wearable.
  • Dose/time/duration: abstract doesn’t include enough detail; use the full paper’s methods section.
  • Outcomes: Recovery speed.
  • Replication note: abstracts often omit adherence and timing; confirm details before changing training or supplementation.

Fit

Who it helps, and who should skip it

Who it helps

  • Athletes similar to the study population (n=856 athletes) working on monitoring.
  • Athletes who can measure Recovery speed with a repeatable workout or time-trial effort.

Who should skip

  • If you have symptoms or conditions that make the intervention risky, get professional guidance.
  • If you’re near race day and can’t safely test, defer the experiment.

Methods

What the study actually did

  • Design: controlled study.
  • Population: n=856 athletes.
  • Outcomes measured: Recovery speed.
  • Source: PubMed PMID 36991963 (2023) — Sensors (Basel, Switzerland).

Results excerpt

What the abstract reports

This resulted in the increase of model's accuracy by 5.7% for exercise and 4.3% for recovery.

Note: excerpts are short; for full context, read the paper.

Limits

Limitations & bias

  • Abstract-only summaries can miss critical details (population, protocol, adherence, and context).
  • Single studies often don’t generalize to your event, history, and training load; treat results as a starting point.
  • If your context differs (elite vs recreational; cycling vs running), adjust expectations and be conservative.
  • This is performance information, not medical advice.

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Sources