Evidence map›Paper›PMID 42281109›Full record

ArticleSensors (Basel, Switzerland)2026

Heart Rate Variability and Body Motion as Digital Biomarkers of Task Workload During Military En Route Critical Care Simulations.

Roger D Dias, Sarah H Michael, Rayan Harari, Steven Yule, Lance McGinnis, Richard J E Skipworth, Elizabeth Mann-Salinas, William T Davis

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Roger D DiasDepartment of Emergency Medicine, Harvard Medical School, Boston, MA 02115, USA.
Sarah H MichaelCenter for COMBAT Research, Medical Campus, University of Colorado Anschutz, Aurora, CO 80045, USA.ORCID 0000-0003-0077-6282
Rayan HarariDepartment of Emergency Medicine, Harvard Medical School, Boston, MA 02115, USA.
Steven YuleSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Scotland EH16 4TJ, UK.ORCID 0000-0001-9889-9090
Lance McGinnisNursing Research Division, 59th Medical Wing Science and Technology, JBSA-Lackland, San Antonio, TX 78236, USA.
Richard J E SkipworthSurgical Sabermetrics Laboratory, Usher Institute, University of Edinburgh, Scotland EH16 4TJ, UK.
Elizabeth Mann-SalinasEn Route Care Research Center, 59th Medical Wing Science and Technology, San Antonio, TX 78234, USA.
William T DavisEn Route Care Research Center, 59th Medical Wing Science and Technology, San Antonio, TX 78234, USA.

Funding

Defense Health Agency DHA FY23 Restoral Program
6 · The paper itself

Abstract

Assessing task workload during military En Route Critical Care (ERCC) and other high-risk clinical operations remains challenging. This study evaluated heart rate variability (HRV) and body motion as digital biomarkers of task workload among Critical Care Air Transport (CCAT) teams during simulated ERCC missions. Seventy-two U.S. Air Force clinicians participated in 26 high-fidelity simulations. HRV and body motion were continuously captured via a chest-strap wearable sensor, and the NASA Task Load Index (NASA-TLX) was used to assess self-reported workload. Results demonstrated high feasibility (>90% HRV, 100% motion retention) with high wearable comfort ratings. Both HRV and Motion metrics showed strong construct validity, significantly differentiating resting baseline from active simulation (all

Indexed as

Critical CareHeart RateMilitary PersonnelWorkloadAdultBiomarkersFemaleHumansMaleMovementWearable Electronic DevicesBiomarkersbody motioncognitive loaddigital biomarkersen route critical caremedical simulationsmilitary medicine

Identifiers

PMID42281109
PMCPMC13259423

What OpenQuestion holds

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LicenceCC BY
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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.