Evidence map›Paper›PMID 40423964›Full record

ArticleAmerican journal of physiology. Lung cellular and molecular physiology2025

Leveraging intrinsic non-sinusoidal patterns to infer search behavior to predict exposure to respiratory stressors.

Anju Bimal, Szilard L Beres, Victoria Ribeiro Rodrigues, Barbara K Smith, Paul W Davenport, Nicholas J Napoli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of physiology. Lung cellular and molecular physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Anju BimalDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, United States.
Szilard L BeresDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, United States.ORCID 0009-0004-7705-3634
Victoria Ribeiro RodriguesDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, United States.ORCID 0000-0002-2222-1870
Barbara K SmithBreathing Research and Therapeutics Center, University of Florida, Gainesville, Florida, United States.ORCID 0000-0002-3255-7036
Paul W DavenportBreathing Research and Therapeutics Center, University of Florida, Gainesville, Florida, United States.ORCID 0000-0001-6769-5335
Nicholas J NapoliDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, United States.ORCID 0000-0002-9071-3965

Funding

DOD | USN | Office of Naval Research (ONR) N000142212653NASA | Langley Research Center (LRC) 80NSSC22M0060NHLBI NIH HHS L30 HL159818
6 · The paper itself

Abstract

This study introduces a novel entropy-based methodology to quantitatively characterize nonlinear transient breathing dynamics under respiratory stress. Environmental and pathophysiological stressors can disrupt the respiratory system's gas exchange, leading to compromise and compensatory mechanisms. We present a data-driven approach that systematically evaluates classical respiratory features alongside novel entropic features as key indicators under respiratory stress. We demonstrate that conventional metrics like breathing rate (

Indexed as

Respiratory MechanicsStress, PhysiologicalAdultEntropyExhalationFemaleHumansMaleRespirationbreathing complexitybreathing dynamicspredicting breathing statesrespiratory compensationrespiratory stress

Identifiers

PMID40423964
PMCPMC12991869

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.