Evidence map›Paper›PMID 26583946›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2016

Monitoring the respiratory rate by miniature motion sensors in premature infants: a comparative study.

S Kohn, D Waisman, J Pesin, A Faingersh, I C Klotzman, C Levy, G Hirshberg, A Rotschild, A Landesberg

Open access · bronzeAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  5. Video-Based Respiratory Rate Estimation for Infants in the NICU.IEEE journal of translational engineering in health and medicine · 2024
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  10. Respiratory Rate Monitoring in Clinical Environments with a Contactless Ultra-Wideband Impulse Radar-based Sensor System.Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences · 2020
    Article
  11. 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 at 3 institutions in 1 country.

S KohnPneumedicare, Yokneam, Israel.
D WaismanDepartment of Neonatology, Carmel Medical Center, Haifa, Israel.
J PesinFaculty of Biomedical Engineering, Technion IIT, Haifa, Israel.
A FaingershFaculty of Biomedical Engineering, Technion IIT, Haifa, Israel.
I C KlotzmanDepartment of Neonatology, Mayer Children's Hospital, Haifa, Israel.
C LevyPneumedicare, Yokneam, Israel.
G HirshbergFaculty of Biomedical Engineering, Technion IIT, Haifa, Israel.
A RotschildDepartment of Neonatology, Carmel Medical Center, Haifa, Israel.
A LandesbergFaculty of Biomedical Engineering, Technion IIT, Haifa, Israel.
Technion – Israel Institute of Technology · ILNational Insurance Institute of Israel · ILCarmel Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExisting respiratory rate (RR) monitors suffer from inaccuracy. The study assesses the accuracy of a novel modality that monitors lung ventilation with miniature motion sensors. STUDY

designRR was measured by three methods: impedance technology, motion sensors and visual count, in babies (n=9) that breathed spontaneously or with respiratory support and babies (n=12) that received high-frequency oscillatory ventilation (HFOV).

resultsA line close to equality (slope=0.96, r(2)=0.83) was obtained between the motion sensor and the visual count of the RR with narrow 95% limits of agreements (<14.0 b.p.m.). The relationship between the impedance and the visual count showed a lower correlation (r(2)=0.65) and wider 95% limits of agreements (21.4 b.p.m.). The motion sensor- and the ventilator-determined RRs demonstrated a good agreement during HFOV, whereas the impedance failed to measure the RR during HFOV.

conclusionMonitoring RR with motion sensors is more accurate compared with the impedance, in infants, in all ventilation modes.

Indexed as

Infant, PrematureRespiratory RateDiagnostic EquipmentDimensional Measurement AccuracyElectric ImpedanceElectrodiagnosisEquipment DesignFemaleHigh-Frequency VentilationHumansInfant, NewbornMaleMonitoring, PhysiologicReproducibility of ResultsRespiratory Distress Syndrome, Newborn

Identifiers

PMID26583946
OpenAlexW2430028408

What OpenQuestion holds

Textmetadata
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.