Evidence map›Paper›PMID 37420890›Full record

ArticleSensors (Basel, Switzerland)2023

Monitoring System for Operating Variables in Incubators in the Neonatology Service of a Highly Complex Hospital through the Internet of Things (IoT).

Pedro Antonio Aya-Parra, Andres Jacob Rodriguez-Orjuela, Viviana Rodriguez Torres, Nidia Patricia Cordoba Hernandez, Natalia Martinez Castellanos, Jefferson Sarmiento-Rojas

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Pedro Antonio Aya-ParraBiomedical Engineering Program, School of Medicine and Health Sciences, Universidad del Rosario, Bogota 111711, Colombia.
Andres Jacob Rodriguez-OrjuelaBiomedical Engineering Program, School of Medicine and Health Sciences, Universidad del Rosario, Bogota 111711, Colombia.
Viviana Rodriguez TorresDepartamento de Neonatología, Hospital Universitario Mayor-Méderi, Bogota 110111, Colombia.
Nidia Patricia Cordoba HernandezDepartamento de Ingeniería Biomédica, Hospital Universitario Mayor-Méderi, Bogota 110111, Colombia.
Natalia Martinez CastellanosDepartamento de Ingeniería Biomédica, Hospital Universitario Mayor-Méderi, Bogota 110111, Colombia.
Jefferson Sarmiento-RojasBiomedical Engineering Program, School of Medicine and Health Sciences, Universidad del Rosario, Bogota 111711, Colombia.ORCID 0000-0001-5771-6032

Funding

Hospital Universitario Mayor 12000
6 · The paper itself

Abstract

backgroundAround 15 million premature babies are born annually, requiring specialized care. Incubators are vital for maintaining their body temperature, which is crucial for their well-being. Ensuring optimal conditions in incubators, including constant temperature, oxygen control, and comfort, is essential for improving the care and survival rates of these infants.

methodsTo address this, an IoT-based monitoring system was developed in a hospital setting. The system comprised hardware components such as sensors and a microcontroller, along with software components including a database and a web application. The microcontroller collected data from the sensors, which was then transmitted to a broker via WiFi using the MQTT protocol. The broker validated and stored the data in the database, while the web application provided real-time access, alerts, and event recording.

resultsTwo certified devices were created, employing high quality components. The system was successfully implemented and tested in both the biomedical engineering laboratory and the neonatology service of the hospital. The results of the pilot test supported the concept of IoT-based technology, demonstrating satisfactory responses in temperature, humidity, and sound variables within the incubators.

conclusionsThe monitoring system facilitated efficient record traceability, allowing access to data over various timeframes. It also captured event records (alerts) related to variable problems, providing information on duration, date, hour, and minutes. Overall, the system offered valuable insights and enhanced monitoring capabilities for neonatal care.

Indexed as

Internet of ThingsNeonatologyHospitalsHumansIncubatorsInfantInfant, NewbornMonitoring, Physiologicclinical innovationincubatorsIoMTIoTmedical bioinstrumentationneonatal carepatient safety

Identifiers

PMID37420890
PMCPMC10302695

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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.