Evidence map›Paper›PMID 35338172›Full record

ArticleScientific reports2022

Contactless radar-based breathing monitoring of premature infants in the neonatal intensive care unit.

Gabriel Beltrão, Regine Stutz, Franziska Hornberger, Wallace A Martins, Dimitri Tatarinov, Mohammad Alaee-Kerahroodi, Ulrike Lindner, Lilly Stock, Elisabeth Kaiser, Sybelle Goedicke-Fritz and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
5.1field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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  7. Artificial intelligence in sleep diagnostics for children under 2 years of age: state of the evidence and future directions.European respiratory review : an official journal of the European Respiratory Society · 2026
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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

13 authors at 2 institutions in 2 countries.

Gabriel Beltrão *SnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg. gabriel.tedgue-beltrao@uni.lu.
Regine Stutz *Department of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany. regine.stutz@uks.eu.
Franziska HornbergerDepartment of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany.
Wallace A MartinsSnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg.
Dimitri TatarinovIEE S/A, Bissen, Luxembourg.
Mohammad Alaee-KerahroodiSnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg.
Ulrike LindnerDepartment of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany.
Lilly StockDepartment of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany.
Elisabeth KaiserDepartment of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany.
Sybelle Goedicke-FritzDepartment of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany.
Udo SchroederIEE S/A, Bissen, Luxembourg.
Bhavani Shankar M RSnT - Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg, Luxembourg.
Michael ZemlinDepartment of General Pediatrics and Neonatology, Saarland University Medical School, Homburg, Germany.
Saarland University · DEUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vital sign monitoring systems are essential in the care of hospitalized neonates. Due to the immaturity of their organs and immune system, premature infants require continuous monitoring of their vital parameters and sensors need to be directly attached to their fragile skin. Besides mobility restrictions and stress, these sensors often cause skin irritation and may lead to pressure necrosis. In this work, we show that a contactless radar-based approach is viable for breathing monitoring in the Neonatal intensive care unit (NICU). For the first time, different scenarios common to the NICU daily routine are investigated, and the challenges of monitoring in a real clinical setup are addressed through different contributions in the signal processing framework. Rather than just discarding measurements under strong interference, we present a novel random body movement mitigation technique based on the time-frequency decomposition of the recovered signal. In addition, we propose a simple and accurate frequency estimator which explores the harmonic structure of the breathing signal. As a result, the proposed radar-based solution is able to provide reliable breathing frequency estimation, which is close to the reference cabled device values most of the time. Our findings shed light on the strengths and limitations of this technology and lay the foundation for future studies toward a completely contactless solution for vital signs monitoring.

Indexed as

Intensive Care Units, NeonatalRadarHeart RateHumansInfant, NewbornInfant, PrematureMonitoring, PhysiologicSignal Processing, Computer-AssistedVital Signs

Identifiers

PMID35338172
PMCPMC8956695
OpenAlexW4221127479

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.