Evidence map›Paper›PMID 41593710›Full record

ArticleBMC research notes2026

A dataset of video recordings for respiratory rate counting from chest wall movements in children aged below five years.

Ahad Mahmud Khan, Rizouan Ur Rashid, Rakib Bhuiyan, Mohammad Sarafat Ullah, Fatima Tul Jannat, Md Faizul Ahasan, Md Shafiqul Islam, Nabidul Haque Chowdhury, Salahuddin Ahmed, Ting Shi and 4 more

Abstract read
In one paragraph

Article in BMC research notes, 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

14 authors.

Ahad Mahmud KhanProjahnmo Research Foundation, Dhaka, Bangladesh. ahad_mahmud@hotmail.com.ORCID http://orcid.org/0000-0002-4347-0825
Rizouan Ur RashidUniversity of Greenwich, London, UK.
Rakib BhuiyanUniversity of Greenwich, London, UK.
Mohammad Sarafat UllahUniversity of Greenwich, London, UK.
Fatima Tul JannatNobojatok Shishu and General Hospital, Dhaka, Bangladesh.
Md Faizul AhasanDepartment of Pharmacology and Therapeutics, Ibrahim Medical College, Dhaka, Bangladesh.
Md Shafiqul IslamProjahnmo Research Foundation, Dhaka, Bangladesh.ORCID http://orcid.org/0009-0006-6109-7717
Nabidul Haque ChowdhuryProjahnmo Research Foundation, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-6149-1152
Salahuddin AhmedProjahnmo Research Foundation, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0001-6771-0638
Ting ShiUsher Institute, University of Edinburgh, Edinburgh, UK.
Abdullah H BaquiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0001-8350-1983
Steve CunninghamCentre for Inflammation Research, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-7342-251X
Eric D McCollumGlobal Program in Paediatric Respiratory Sciences, Eudowood Division of Paediatric Respiratory Sciences, Department of Paediatrics, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.ORCID http://orcid.org/0000-0002-1872-5566
Harry CampbellUsher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-6169-6262

Funding

The UK National Institute for Health Research (NIHR) through the Global Health Research Unit on Respiratory Health (RESPIRE) 16/136/109
6 · The paper itself

Abstract

objectivesThis dataset was generated as part of a study aimed at developing a video expert panel (VEP) to serve as a reference standard for respiratory rate assessment in children under five years of age. The overarching goal was to improve the accuracy of diagnosing respiratory illnesses and to support the advancement of automated video-based methods for respiratory rate measurement. Children aged 0-59 months presenting with cough and/or difficulty breathing at different levels of healthcare facilities in Bangladesh were enrolled during 2021-2022. DATA DESCRIPTION: The dataset comprises 332 video recordings, each approximately 60 s in duration, documenting chest wall movements of participating children. All recordings were independently reviewed by members of a trained VEP, who determined respiratory rate using a standardized multi-reviewer process. Alongside the video files, a Stata (.dta) file provides structured metadata, including demographic information (age, sex), clinical variables (history and observation of cough and difficult breathing), and respiratory rate counts. This dataset is intended to support the development and validation of automated video-based diagnostic tools, training and standardization of health workers, and quality assurance initiatives. Its open-access availability fosters interdisciplinary collaboration and international research in pediatric respiratory diagnostics.

Indexed as

Respiratory RateThoracic WallVideo RecordingBangladeshChild, PreschoolCoughFemaleHumansInfantInfant, NewbornMaleFast breathingPediatric respiratory diagnosticsRespiratory rateVideo dataVideo expert panel

Identifiers

PMID41593710
PMCPMC12918059

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LicenceCC BY-NC-ND
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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.