Evidence map›Paper›PMID 35336398›Full record

ArticleSensors (Basel, Switzerland)2022

An Ultra-Low-Cost RCL-Meter.

Pedro M C Inácio, Rui Guerra, Peter Stallinga

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. 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

3 authors.

Pedro M C InácioCEOT-Center for Electronics, Optoelectronics and Telecommunications, University of Algarve, Campus Gambelas, 8005-139 Faro, Portugal.ORCID 0000-0003-1986-7918
Rui GuerraCEOT-Center for Electronics, Optoelectronics and Telecommunications, University of Algarve, Campus Gambelas, 8005-139 Faro, Portugal.ORCID 0000-0002-8642-5792
Peter StallingaCEOT-Center for Electronics, Optoelectronics and Telecommunications, University of Algarve, Campus Gambelas, 8005-139 Faro, Portugal.

Funding

Fundação para a Ciência e Tecnologia UIDB/00631/2020 CEOT BASEFundação para a Ciência e Tecnologia UIDP/00631/2020 CEOT PROGRAMATICOFundo Europeu de Desenvolvimento Regional, FEDER/Portugal2020 NIBAP (ALG-01-0247-FEDER-037303)
6 · The paper itself

Abstract

An ultra-low-cost RCL meter, aimed at IoT applications, was developed, and was used to measure electrical components based on standard techniques without the need of additional electronics beyond the AVR® micro-controller hardware itself and high-level routines. The models and pseudo-routines required to measure admittance parameters are described, and a benchmark between the ATmega328P and ATmega32U4 AVR® micro-controllers was performed to validate the resistance and capacitance measurements. Both ATmega328P and ATmega32U4 micro-controllers could measure isolated resistances from 0.5 Ω to 80 MΩ and capacitances from 100 fF to 4.7 mF. Inductance measurements are estimated at between 0.2 mH to 1.5 H. The accuracy and range of the measurements of series and parallel RC networks are demonstrated. The relative accuracy (ar) and relative precision (pr) of the measurements were quantified. For the resistance measurements, typically ar, pr < 10% in the interval 100 Ω−100 MΩ. For the capacitance, measured in one of the modes (fast mode), ar < 20% and pr < 5% in the range 100 fF−10 nF, while for the other mode (transient mode), typically ar < 20% in the range 10 nF−10 mF and pr < 5% for 100 pF−10 mF. ar falls below 5% in some sub-ranges. The combination of the two capacitance modes allows for measurements in the range 100 fF−10 mF (11 orders of magnitude) with ar < 20%. Possible applications include the sensing of impedimetric sensor arrays targeted for wearable and in-body bioelectronics, smart agriculture, and smart cities, while complying with small form factor and low cost.

Indexed as

ComputersElectric CapacitanceAVR® micro-controllerimpedance meterinternet of thingslow-costportable instrumentRCL-bridges

Identifiers

PMID35336398
PMCPMC8950037

What OpenQuestion holds

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LicenceCC BY
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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.