Special Issue "Body Sensors Networks for E-Health Applications".

David Naranjo-Hernández, Javier Reina-Tosina, Laura M Roa

Abstract readEditorial

In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

On Development of MySignals based prototype for application in health vitals monitoring.Wireless personal communications · 2022
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

3 authors.

David Naranjo-HernándezBiomedical Engineering Group, Department of Signal Theory and Communications, University of Seville, 41092 Seville, Spain.ORCID 0000-0002-7636-2855

Javier Reina-TosinaBiomedical Engineering Group, Department of Signal Theory and Communications, University of Seville, 41092 Seville, Spain.ORCID 0000-0002-6853-4899

Laura M RoaBiomedical Engineering Group, Department of Signal Theory and Communications, University of Seville, 41092 Seville, Spain.ORCID 0000-0001-9221-0299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body Sensor Networks (BSN) have emerged as a particularization of Wireless Sensor Networks (WSN) in the context of body monitoring environments, closely linked to healthcare applications. These networks are made up of smart biomedical sensors that allow the monitoring of physiological parameters and serve as the basis for e-Health applications. This Special Issue collects some of the latest developments in the field of BSN related to new developments in biomedical sensor technologies, the design and experimental characterization of on-body/in-body antennas and new communication protocols for BSN, including some review studies.

Indexed as

TelemedicineWearable Electronic DevicesWireless TechnologyBiomedical TechnologyComputer Communication NetworksHumansMonitoring, Physiologic2.4 GHzbioimpedance spectroscopyBSNe-Healthfall detectionobjective pain assessmenton-body antennapressure sensorsUWBWNSN

Identifiers

PMID32708538

DOI10.3390/s20143944

PMCPMC7412528

What OpenQuestion holds

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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.