Evidence map›Paper›PMID 38911566›Full record

ArticleAnnals of translational medicine2024

A two-phased study on the use of remote photoplethysmography (rPPG) in paediatric care.

Nur Adila Ahmad Hatib, Jan Hau Lee, Shu-Ling Chong, Qian Wen Sng, Victoria Shi Rui Tan, Gene Yong-Kwang Ong, Alicia May Lim, Bin Huey Quek, Mee See How, Joel Meng Fai Chan and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Annals of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07491978 (Development and Multicenter Validation of an AI-Based Remote Photoplethysmography), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT07491978 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Development and Multicenter Validation of an AI-Based Remote Photoplethysmography (rPPG) Facial Scan for Multimodal Health Assessment: Agreement With Clinical, Laboratory, and Psychological Parameters in an Urban Population

Typeobservational_patient_registrySponsorTarumanagara UniversityRan2026 to 2027Enrolled1,000ConditionsMetabolic Syndrome, Hypertension, Diabetes (DM), Tachycardia
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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

12 authors.

Nur Adila Ahmad HatibGeneral Paediatrics Service, KK Women's and Children's Hospital, Singapore, Singapore.ORCID https://orcid.org/0009-0005-4425-2802
Jan Hau LeeSingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore.
Shu-Ling ChongSingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore.
Qian Wen SngDepartment of Advancing Nursing and Education, KK Women's and Children's Hospital, Singapore, Singapore.
Victoria Shi Rui TanSingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore.
Gene Yong-Kwang OngSingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore.
Alicia May LimSingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore.
Bin Huey QuekSingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore.
Mee See HowSpecial Care Nursery, KK Women's and Children's Hospital, Singapore, Singapore.
Joel Meng Fai ChanGeneral Paediatrics Service, KK Women's and Children's Hospital, Singapore, Singapore.
Seyed Ehsan SaffariCentre for Quantitative Medicine, Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore.
Kee Chong NgSingHealth Duke-NUS Paediatrics Academic Clinical Programme, Duke-NUS, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advancements in medical technologies have led to the development of contact-free methods of haemodynamic monitoring such as remote photoplethysmography (rPPG). rPPG uses video cameras to interpret variations in skin colour related to blood flow, which are analysed to generate vital signs readings. rPPG potentially ameliorates problems like fretfulness and fragile skin contact associated with conventional probes in children. While rPPG has been validated in adults, no prior validation has been performed in children. Methods: A two-phased prospective cross-sectional single-centre study was conducted from January to April 2023 to evaluate the feasibility, acceptability, and accuracy of obtaining heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO Results: Ten neonates and 28 children aged 5 to 16 years were recruited for Phase 1 (765 datapoints). All patients were haemodynamically stable and normothermic. Patients and caregivers showed high acceptability to rPPG. rPPG values were clinically discrepant for children <10 years. For those ≥10 years, moderate correlation was observed for HR, with Spearman's correlation coefficient (Rs) of 0.50 [95% confidence intervals (CI): 0.42, 0.57]. We performed Phase 2 on 23 patients aged 12 to 16 years (559 datapoints). Strong correlation was observed for HR with Rs=0.82 (95% CI: 0.78, 0.85). There was weak correlation for SpO Conclusions: Our study showed that rPPG is acceptable and feasible for neonates and children aged 5 to 16 years, and HR values in older children aged 12 to 16 years correlated well with the current standard. The rPPG algorithms need to be further refined for younger children, and for obtaining RR and SpO

Indexed as

Childrenheart rate (HR)paediatricremote photoplethysmography (rPPG)vital signs

Identifiers

PMID38911566
PMCPMC11193567

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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 Socratic graph.