Evidence map›Paper›PMID 41139742›Full record

ArticleAnnals of biomedical engineering2026

Evaluation of Respiratory Mask Fitting Using Finite Element Analysis Numerical Simulations and Experimental Pressure Measurements.

Hugo Taeckens, Arthur Agostini, Bahe Hachem, Loïc Degueldre, Sean-Philippe Viens, Aude Castonguay-Henri, Jonathan Borduas, Luc Duong

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Article in Annals of biomedical engineering, 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
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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

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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.

Hugo TaeckensDepartment of software and IT engineering, École de technologie supérieure, Montreal, Canada.
Arthur AgostiniDepartment of software and IT engineering, École de technologie supérieure, Montreal, Canada.
Bahe HachemNumalogics, Montreal, Canada.
Loïc DegueldreNumalogics, Montreal, Canada.
Sean-Philippe ViensToolkit3D, Montreal, Canada.
Aude Castonguay-HenriToolkit3D, Montreal, Canada.
Jonathan BorduasToolkit3D, Montreal, Canada.
Luc DuongDepartment of software and IT engineering, École de technologie supérieure, Montreal, Canada. luc.duong@etsmtl.ca.ORCID http://orcid.org/0000-0003-3118-5389

Funding

MEDTEQ+ 16-B
6 · The paper itself

Abstract

purposeProlonged wear of generic respiratory masks such as the N95 could provide discomfort due to poor fitting to the user face morphology and excessive tightening. This study aims to personalize the design of respiratory masks and simulate the fitting using finite element analysis.

methodsA cohort of 10 participants was recruited to evaluate the fit of a 3D respiratory mask created by scanning the face with the ARKit framework and a high-resolution 3D infrared camera. The respiratory mask pressure and seal were calculated using numerical simulations with Ansys Mechanical. A pressure map illustrates the pattern that the respiratory mask will produce on a given user's face, to assert the desired comfort criteria. A map of the gap between the mask and the face shows the sealing capability of the mask. To ensure the consistency of the numerical results, experimental pressure measurements were also performed on the participants. Facial pressure calculation and measurement tests were performed under three levels of tightening. User's feedback on the respiratory mask was also obtained.

resultsSimulation results appeared to be lower than those obtained experimentally, so a global correction was made. Only 14% of the results obtained after correction differ by more than 1N from the experimental reference value.

conclusionThe outcome of this study could provide insights in the design of respiratory masks through face scanning technologies and numerical simulation. Moreover, it could contribute to fully customize the respiratory mask to the user's face, for enhanced comfort and proper sealing.

Indexed as

FaceFinite Element AnalysisN95 RespiratorsAdultComputer SimulationEquipment DesignFemaleHumansMalePressureCustom fitExperimental testingFace scanningFinite element analysisNumerical simulationRespiratory mask

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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.