Evidence map›Paper›PMID 40621168›Full record

ArticleDigital health

Accuracy of heart rate, pulse oxygen saturation, and blood pressure using a non-contact photoplethysmography-based mobile application: A potential tool for wellness monitoring.

Gianvincenzo Zuccotti, Paolo Osvaldo Agnelli, Lucia Labati, Erika Cordaro, Davide Braghieri, Simone Balconi, Daniela Mandalari, Paolo Fiorina, Simona Bertoli, Cesare Celeste Federico Berra and 7 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  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

17 authors.

Gianvincenzo ZuccottiDepartment of Biomedical and Clinical Science, University of Milano, Milano, Italy.ORCID https://orcid.org/0000-0002-2795-9874
Paolo Osvaldo AgnelliCome Stai S.p.A, Milano, Italy.
Lucia LabatiDepartment of Biomedical and Clinical Science, University of Milano, Milano, Italy.
Erika CordaroPediatric Department, Buzzi Children's Hospital, Milano, Italy.
Davide BraghieriDepartment of Biomedical and Clinical Science, University of Milano, Milano, Italy.
Simone BalconiPediatric Department, Buzzi Children's Hospital, Milano, Italy.
Daniela MandalariPediatric Department, Buzzi Children's Hospital, Milano, Italy.
Paolo FiorinaDivision of Endocrinology, ASST Fatebenefratelli-Sacco, Milano, Italy.
Simona BertoliDepartment of Food, Environmental and Nutritional Sciences (DeFENS), International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), University of Milan, Milan, Italy.
Cesare Celeste Federico BerraIRCCS MultiMedica, Dipartimento Cardiovascolare e Metabolico, Sesto San Giovanni-Milano, Milano, Italy.
Marina CrociIRCCS Istituto Auxologico Italiano, Laboratory of Nutrition and Obesity Research, Department of Endocrine and Metabolic Diseases, Milan, Italy.
Fabrizio LosurdoDivision of Endocrinology, ASST Fatebenefratelli-Sacco, Milano, Italy.
Andrea FoppianiDepartment of Food, Environmental and Nutritional Sciences (DeFENS), International Center for the Assessment of Nutritional Status and the Development of Dietary Intervention Strategies (ICANS-DIS), University of Milan, Milan, Italy.
Loredana BucciarelliInternational Center for T1D, Pediatric Clinical Research Center Romeo ed Enrica Invernizzi, Department of Biomedical and Clinical Science, University of Milano, Milano, Italy.
Marco XodoCome Stai S.p.A, Milano, Italy.
Sergio De PasqualeCome Stai S.p.A, Milano, Italy.
Valeria CalcaterraPediatric and Adolescent Unit, Department of Internal Medicine, University of Pavia, Pavia, Italy.ORCID https://orcid.org/0000-0002-2137-5974

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Photoplethysmography (PPG) is an effective non-contact technique for measuring vital signs. This report aims to evaluate whether a non-contact PPG-based mobile application supports an appropriate level of accuracy in monitoring SpO Methods: Adult volunteers (≥18 years, both male and female) were consecutively enrolled from September to November 2024. Remote photoplethysmography (rPPG) for data collection involves recording subjects' faces using the front camera of mobile devices for ∼1.5 minutes. Simultaneously, vital signs will be continuously collected for about 1.5 minutes using the reference devices alongside data collected via the comestai application. Results: A total of 562 participants (279 F/283 M) were enrolled. The app demonstrated excellent accuracy for HR (MAE 2.96, MAPE 4.14, and accuracy 99.1%) and SpO Conclusions: The non-contact PPG-based mobile app holds promise as an accessible, user-friendly tool for wellness monitoring. Solutions like comestai.app present both new opportunities and challenges in the wellness sector, emphasizing the need for continued research in this field.

Indexed as

mobile applicationmonitoringNon-contact photoplethysmographyvital signswellness

Identifiers

PMID40621168
PMCPMC12227916

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.