Evidence map›Paper›PMID 31935959›Full record

ArticleSensors (Basel, Switzerland)2020

High Sensitivity Differential Giant Magnetoresistance (GMR) Based Sensor for Non-Contacting DC/AC Current Measurement.

Cristian Mușuroi, Mihai Oproiu, Marius Volmer, Ioana Firastrau

Open access · goldAbstract read
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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

10 citing papers in PubMed, 44 citations in OpenAlex.

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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 at 1 institution in 1 country.

Cristian MușuroiDepartment of Electrical Engineering and Applied Physics, Transilvania University of Brasov, 29 Blvd. Eroilor, 500036 Brasov, Romania.
Mihai OproiuDepartment of Electrical Engineering and Applied Physics, Transilvania University of Brasov, 29 Blvd. Eroilor, 500036 Brasov, Romania.
Marius VolmerDepartment of Electrical Engineering and Applied Physics, Transilvania University of Brasov, 29 Blvd. Eroilor, 500036 Brasov, Romania.
Ioana FirastrauDepartment of Electrical Engineering and Applied Physics, Transilvania University of Brasov, 29 Blvd. Eroilor, 500036 Brasov, Romania.
Transylvania University of Brașov · RO

Funding

Romanian Ministry of Research and Innovation CCDI-UEFISCDI project number 3PCCDI/2018, within PNCDI III
6 · The paper itself

Abstract

This paper presents the design and implementation of a high sensitivity giant magnetoresistance (GMR) based current sensor with a broad range of applications. The novelty of our approach consists in using a double differential measurement system, based on commercial GMR sensors, with an adjustable biasing system used to linearize the field response of the system. The work aims to act as a fully-operational proof of concept application, with an emphasis on the mode of operation and methods to improve the sensitivity and linearity of the measurement system. The implemented system has a broad current measurement range from as low as 75 mA in DC and 150 mA in AC up to 4 A by using a single setup. The sensor system is also very low power, consuming only 6.4 mW. Due to the way the sensors are polarized and positioned above the U-shaped conductive band through which the current to be measured is flowing, the differential setup offers a sensitivity of about between 0.0272 to 0.0307 V/A (signal from sensors with no amplifications), a high immunity to external magnetic fields, low hysteresis effects of 40 mA, and a temperature drift of the offset of about -2.59×10

Indexed as

Bias magnetic fieldCurrent sensorsGMR effectmicromagnetic simulationsspin-valve sensor

Identifiers

PMID31935959
PMCPMC6982712
OpenAlexW2998493397

What OpenQuestion holds

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LicenceCC BY
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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.