Evidence map›Paper›PMID 39835203›Full record

ArticleFrontiers in physiology2024

Toward a hyperventilation detection system in freediving: a proof of concept using force sensor technology.

Frank Pernett, Eric Mulder, Filip Johansson, Arne Sieber, Ricardo Bermudez, Marcus Lossner, Erika Schagatay

Abstract read
In one paragraph

Article in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Advances in breath-hold diving research: a state-of-the-art review.European journal of applied physiology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Frank PernettEnvironmental Physiology Group, Department of Health Sciences, Mid Sweden University, Östersund, Sweden.
Eric MulderEnvironmental Physiology Group, Department of Health Sciences, Mid Sweden University, Östersund, Sweden.
Filip JohanssonEnvironmental Physiology Group, Department of Health Sciences, Mid Sweden University, Östersund, Sweden.
Arne SieberEnvironmental Physiology Group, Department of Health Sciences, Mid Sweden University, Östersund, Sweden.
Ricardo BermudezSensing Systems Corporation, Dartmouth, United States.
Marcus LossnerIndependent hardware and software engineer, Atlanta, GA, United States.
Erika SchagatayEnvironmental Physiology Group, Department of Health Sciences, Mid Sweden University, Östersund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Hyperventilation before breath-hold diving (freediving) is widely accepted as a risk factor for hypoxic syncope or blackout (BO), but there is no practical way to address it before dives. This study explores the feasibility of using a force sensor to predict end-tidal carbon dioxide ( Methods and results: Twenty-one freedivers volunteered to participate during two national competitions. The divers were instructed to breathe normally and perform three dry apneas of 1, 2, and 3-min duration at 2-min intervals in a sitting position. Before and after the apneas, Conclusion: This study shows that a force sensor can estimate hyperventilation before static apnea, providing a basis for further research. More studies are needed to confirm its effectiveness in preventing issues. Freedivers may hyperventilate without noticing it, and such a system could improve awareness of this condition. Additional underwater tests are essential to determine whether this system can enhance safety in freediving.

Indexed as

apneablackoutbreath-holdtidal volumewearable technology

Identifiers

PMID39835203
PMCPMC11743614

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.