Evidence map›Paper›PMID 36414979›Full record

ArticleMaternal health, neonatology and perinatology2022

Non-invasive sensor methods used in monitoring newborn babies after birth, a clinical perspective.

Oana Anton, Henry Dore, Elizabeth Rendon-Morales, Rodrigo Aviles-Espinosa, Paul Seddon, David Wertheim, Ramon Fernandez, Heike Rabe

Open access · goldAbstract readLetter
In one paragraph

Article in Maternal health, neonatology and perinatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Observational
  3. Noncontact Sensors for Vital Signs Measurement: A Narrative Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  4. Review
  5. 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

8 authors at 4 institutions in 1 country.

Oana AntonEast Sussex NHS Healthcare Trust, Eastbourne, UK. oana.anton@nhs.net.ORCID http://orcid.org/0000-0001-8074-7451
Henry DoreRobotics and Mechatronics Systems Research Group, School of Engineering and Informatics, University of Sussex, Brighton, UK.
Elizabeth Rendon-MoralesRobotics and Mechatronics Systems Research Group, School of Engineering and Informatics, University of Sussex, Brighton, UK.
Rodrigo Aviles-EspinosaRobotics and Mechatronics Systems Research Group, School of Engineering and Informatics, University of Sussex, Brighton, UK.
Paul SeddonBrighton and Sussex Medical School, Academic Department of Paediatrics, Royal Alexandra Children's Hospital, Brighton, UK.
David WertheimSchool of Computer Science and Mathematics, Faculty of Science, Engineering and Computing, Kingston University, Kingston upon Thames, UK.
Ramon FernandezBrighton and Sussex Medical School, Academic Department of Paediatrics, Royal Alexandra Children's Hospital, Brighton, UK.
Heike RabeBrighton and Sussex Medical School, Academic Department of Paediatrics, Royal Alexandra Children's Hospital, Brighton, UK.
Brighton and Sussex Medical School · GBUniversity of Sussex · GBKingston University · GBRoyal Alexandra Children's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing the global new-born mortality is a paramount challenge for humanity. There are approximately 786,323 live births in the UK each year according to the office for National Statistics; around 10% of these newborn infants require assistance during this transition after birth. Each year around, globally around 2.5 million newborns die within their first month. The main causes are complications due to prematurity and during delivery. To act in a timely manner and prevent further damage, health professionals should rely on accurate monitoring of the main vital signs heart rate and respiratory rate.

aimsTo present a clinical perspective on innovative, non-invasive methods to monitor heart rate and respiratory rate in babies highlighting their advantages and limitations in comparison with well-established methods.

methodsUsing the data collected in our recently published systematic review we highlight the barriers and facilitators for the novel sensor devices in obtaining reliable heart rate measurements. Details about difficulties related to the application of sensors and interfaces, time to display, and user feedback are explored. We also provide a unique overview of using a non-invasive respiratory rate monitoring method by extracting RR from the pulse oximetry trace of newborn babies.

resultsNovel sensors to monitor heart rate offer the advantages of minimally obtrusive technologies but have limitations due to movement artefact, bad sensor coupling, intermittent measurement, and poor-quality recordings compared to gold standard well established methods. Respiratory rate can be derived accurately from pleth recordings in infants.

conclusionSome limitations have been identified in current methods to monitor heart rate and respiratory rate in newborn babies. Novel minimally invasive sensors have advantages that may help clinical practice. Further research studies are needed to assess whether they are sufficiently accurate, practical, and reliable to be suitable for clinical use.

Indexed as

Heart rate monitoringNewbornNovel sensors

Identifiers

PMID36414979
PMCPMC9682831
OpenAlexW4309673389

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.