Evidence map›Paper›PMID 38931591›Full record

ArticleSensors (Basel, Switzerland)2024

Development of a Smartwatch with Gas and Environmental Sensors for Air Quality Monitoring.

Víctor González, Javier Godoy, Patricia Arroyo, Félix Meléndez, Fernando Díaz, Ángel López, José Ignacio Suárez, Jesús Lozano

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Víctor GonzálezIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0009-0002-8724-638X
Javier GodoyIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.
Patricia ArroyoIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0000-0002-5918-1788
Félix MeléndezIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0000-0002-8534-7788
Fernando DíazIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0009-0009-5740-0236
Ángel LópezIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0009-0008-0941-963X
José Ignacio SuárezIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0000-0002-7961-0244
Jesús LozanoIndustrial Engineering School, University of Extremadura, 06006 Badajoz, Spain.ORCID 0000-0003-0905-9546

Funding

Spanish ministry of Science and Innovation through Research Spanish Agency and European Union NextGenerationEU/PRTR TED2021-131114B-C21
6 · The paper itself

Abstract

In recent years, there has been a growing interest in developing portable and personal devices for measuring air quality and surrounding pollutants, partly due to the need for ventilation in the aftermath of COVID-19 situation. Moreover, the monitoring of hazardous chemical agents is a focus for ensuring compliance with safety standards and is an indispensable component in safeguarding human welfare. Air quality measurement is conducted by public institutions with high precision but costly equipment, which requires constant calibration and maintenance by highly qualified personnel for its proper operation. Such devices, used as reference stations, have a low spatial resolution since, due to their high cost, they are usually located in a few fixed places in the city or region to be studied. However, they also have a low temporal resolution, providing few samples per hour. To overcome these drawbacks and to provide people with personalized and up-to-date air quality information, a personal device (smartwatch) based on MEMS gas sensors has been developed. The methodology followed to validate the performance of the prototype was as follows: firstly, the detection capability was tested by measuring carbon dioxide and methane at different concentrations, resulting in low detection limits; secondly, several experiments were performed to test the discrimination capability against gases such as toluene, xylene, and ethylbenzene. principal component analysis of the data showed good separation and discrimination between the gases measured.

Indexed as

Carbon DioxideCOVID-19Environmental MonitoringAir PollutantsAir PollutionGasesHumansMethaneSARS-CoV-2Air PollutantsCarbon DioxideGasesMethanecarbon dioxideethylbenzenemetal oxide semiconductor sensormethanepredictionprincipal component analysissmartwatchtoluenexylene

Identifiers

PMID38931591
PMCPMC11207291

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.