Evidence map›Paper›PMID 31831016›Full record

ArticleBMC biology2019

Extracting physiological information in experimental biology via Eulerian video magnification.

Henrik Lauridsen, Selina Gonzales, Daniela Hedwig, Kathryn L Perrin, Catherine J A Williams, Peter H Wrege, Mads F Bertelsen, Michael Pedersen, Jonathan T Butcher

Abstract read
In one paragraph

Article in BMC biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  4. Closing the air gap: the use of drones for studying wildlife ecophysiology.Biological reviews of the Cambridge Philosophical Society · 2025
    Review
  5. Article
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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

9 authors.

Henrik LauridsenNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 304 Weill Hall, Ithaca, NY, 14853-7202, USA. henrik@clin.au.dk.ORCID 0000-0002-8833-4456
Selina GonzalesNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 304 Weill Hall, Ithaca, NY, 14853-7202, USA.
Daniela HedwigCornell Lab of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, NY, 14850, USA.
Kathryn L PerrinCenter for Zoo and Wild Animal Health, Copenhagen Zoo, Roskildevej 32, 2000, Frederiksberg, Denmark.
Catherine J A WilliamsCenter for Zoo and Wild Animal Health, Copenhagen Zoo, Roskildevej 32, 2000, Frederiksberg, Denmark.
Peter H WregeCornell Lab of Ornithology, Cornell University, 159 Sapsucker Woods Road, Ithaca, NY, 14850, USA.
Mads F BertelsenCenter for Zoo and Wild Animal Health, Copenhagen Zoo, Roskildevej 32, 2000, Frederiksberg, Denmark.
Michael PedersenDepartment of Clinical Medicine, Aarhus University, Palle Juul-Jensens Boulevard 99, 8200, Aarhus N, Denmark.
Jonathan T ButcherNancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, 304 Weill Hall, Ithaca, NY, 14853-7202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVideographic material of animals can contain inapparent signals, such as color changes or motion that hold information about physiological functions, such as heart and respiration rate, pulse wave velocity, and vocalization. Eulerian video magnification allows the enhancement of such signals to enable their detection. The purpose of this study is to demonstrate how signals relevant to experimental physiology can be extracted from non-contact videographic material of animals.

resultsWe applied Eulerian video magnification to detect physiological signals in a range of experimental models and in captive and free ranging wildlife. Neotenic Mexican axolotls were studied to demonstrate the extraction of heart rate signal of non-embryonic animals from dedicated videographic material. Heart rate could be acquired both in single and multiple animal setups of leucistic and normally colored animals under different physiological conditions (resting, exercised, or anesthetized) using a wide range of video qualities. Pulse wave velocity could also be measured in the low blood pressure system of the axolotl as well as in the high-pressure system of the human being. Heart rate extraction was also possible from videos of conscious, unconstrained zebrafish and from non-dedicated videographic material of sand lizard and giraffe. This technique also allowed for heart rate detection in embryonic chickens in ovo through the eggshell and in embryonic mice in utero and could be used as a gating signal to acquire two-phase volumetric micro-CT data of the beating embryonic chicken heart. Additionally, Eulerian video magnification was used to demonstrate how vocalization-induced vibrations can be detected in infrasound-producing Asian elephants.

conclusionsEulerian video magnification provides a technique to extract inapparent temporal signals from videographic material of animals. This can be applied in experimental and comparative physiology where contact-based recordings (e.g., heart rate) cannot be acquired.

Indexed as

Heart RateAmbystoma mexicanumAnimalsChick EmbryoHumansMicePhysiologyPulsePulse Wave AnalysisVideotape RecordingZebrafishEmbryonic developmentHeart rateInfrasoundPulse wave velocityRespiration rateSignal processingVideographic material

Identifiers

PMID31831016
PMCPMC6907275

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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.