Study note • PMID 36991963
Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models.
How to use this page
This note summarizes one study record. Check the participants, methods, results, and limitations before applying it to training.
- • Design signal: controlled study.
- • Population relevance: athlete/trained context.
- • Consistency: single-study evidence.
- • Practical recommendation depends on tolerance, context, and whether it protects training consistency.
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 may help, and who should be cautious
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 be cautious
- • 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 and 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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