Evidence map›Paper›PMID 39460122›Full record

ArticleSensors (Basel, Switzerland)2024

Development and Validation of a Portable EIT System for Real-Time Respiratory Monitoring.

Fabian Alvarado-Arriagada, Bruno Fernández-Arroyo, Samuel Rebolledo, Esteban J Pino

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

4 authors.

Fabian Alvarado-ArriagadaDepartment of Electrical Engineering, Faculty of Engineering, Universidad de Concepcion, 219 Edmundo Larenas, Concepción 4070409, Chile.ORCID 0000-0002-5431-1774
Bruno Fernández-ArroyoDepartment of Electrical Engineering, Faculty of Engineering, Universidad de Concepcion, 219 Edmundo Larenas, Concepción 4070409, Chile.ORCID 0009-0008-3045-021X
Samuel RebolledoDepartment of Electrical Engineering, Faculty of Engineering, Universidad de Concepcion, 219 Edmundo Larenas, Concepción 4070409, Chile.ORCID 0009-0002-3384-7438
Esteban J PinoDepartment of Electrical Engineering, Faculty of Engineering, Universidad de Concepcion, 219 Edmundo Larenas, Concepción 4070409, Chile.ORCID 0000-0002-2636-051X

Funding

Agencia Nacional de Investigación y Desarrollo VIU23P0069
6 · The paper itself

Abstract

This work contributes to the improvement of novel medical technologies for the prevention and treatment of diseases. Electrical impedance tomography (EIT) has gained attention as a valuable tool for non-invasive monitoring providing real-time insights. The purpose of this work is to develop and validate a novel portable EIT system with a small form factor for respiratory monitoring. The device uses a 16-electrode architecture with adjacent stimulation and measurement patterns, an integrated circuit current source and a single high-speed ADC operating with multiplexers to stimulate and measure across all electrodes. Tests were conducted on 25 healthy subjects who performed a pulmonary function test with a flowmeter while using the EIT device. The results showed a good performance of the device, which was able to recognize all respirations correctly, and from the EIT signals and images, correlations of 96.7% were obtained for instantaneous respiratory rate and 96.1% for tidal volume prediction. These results validate the preliminary technical feasibility of the EIT system and demonstrates its potential as a reliable tool for non-invasive respiratory assessment. The significance of this work lies in its potential to democratize advanced respiratory monitoring technologies, making them accessible to a wider population, including those in remote or underserved areas.

Indexed as

Electric ImpedanceTomographyAdultElectrodesFemaleHumansMaleMonitoring, PhysiologicRespirationRespiratory Function TestsRespiratory RateTidal Volumeelectrical impedance tomographyportable medical devicerespiratory monitoring

Identifiers

PMID39460122
PMCPMC11511497

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Registered trials

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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.