Evidence map›Paper›PMID 39661434›Full record

ArticleJMIR biomedical engineering2024

Validation of a Wearable Sensor Prototype for Measuring Heart Rate to Prescribe Physical Activity: Cross-Sectional Exploratory Study.

Fernanda Laís Loro, Riane Martins, Janaína Barcellos Ferreira, Cintia Laura Pereira de Araujo, Lucio Rene Prade, Cristiano Bonato Both, Jéferson Campos Nobre Nobre, Mariane Borba Monteiro, Pedro Dal Lago

Abstract read
In one paragraph

Article in JMIR biomedical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Fernanda Laís LoroGraduate Program of Rehabilitation Sciences, Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0003-0504-4953
Riane MartinsUndergraduate Course of Medicine, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brazil.ORCID https://orcid.org/0009-0001-5325-5846
Janaína Barcellos FerreiraGraduate Program of Rehabilitation Sciences, Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-1453-6223
Cintia Laura Pereira de AraujoDepartment of Physical Therapy, Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0001-6184-9495
Lucio Rene PradeGraduate Program in Computing Sciences, Universidade do Vale do Rio do Sinos - UNISINOS, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-0998-3002
Cristiano Bonato BothGraduate Program in Computing Sciences, Universidade do Vale do Rio do Sinos - UNISINOS, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-9776-4888
Jéferson Campos Nobre NobreInstitute of Informatics, Universidade Federal do Rio Grande do Sul - UFRGS, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-6275-6503
Mariane Borba MonteiroDepartment of Physical Therapy, Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-7906-5899
Pedro Dal LagoDepartment of Physical Therapy, Universidade Federal de Ciências da Saúde de Porto Alegre - UFCSPA, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0001-9907-7689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWearable sensors are rapidly evolving, particularly in health care, due to their ability to facilitate continuous or on-demand physiological monitoring.

objectiveThis study aimed to design and validate a wearable sensor prototype incorporating photoplethysmography (PPG) and long-range wide area network technology for heart rate (HR) measurement during a functional test.

methodsWe conducted a transversal exploratory study involving 20 healthy participants aged between 20 and 30 years without contraindications for physical exercise. Initially, our laboratory developed a pulse wearable sensor prototype for HR monitoring. Following this, the participants were instructed to perform the Incremental Shuttle Walk Test while wearing the Polar H10 HR chest strap sensor (the reference for HR measurement) and the wearable sensor. This test allowed for real-time comparison of HR responses between the 2 devices. Agreement between these measurements was determined using the intraclass correlation coefficient (ICC

resultsThe mean differences between the Polar H10 and the wearable sensor during the test were -2.6 (95% CI -3.5 to -1.8) for rest HR, -4.1 (95% CI -5.3 to -3) for maximum HR, -2.4 (95% CI -3.5 to -1.4) for mean test HR, and -2.5 (95% CI -3.6 to -1.5) for mean recovery HR. The mean absolute percentage errors were -3% for rest HR, -2.2% for maximum HR, -1.8% for mean test HR, and -1.6% for recovery HR. Excellent agreement was observed between the Polar H10 and the wearable sensor for rest HR (ICC

conclusionsThe pulse-wearable sensor prototype tested in this study proves to be a valid tool for monitoring HR at rest, during functional tests, and during recovery compared with the Polar H10 reference device used in the laboratory setting.

Indexed as

biosensorheart rateHRmedical devicemobile phonephysiological monitorwearable devicewearable system

Identifiers

PMID39661434
PMCPMC11669869

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.