Evidence map›Paper›PMID 40740210›Full record

ArticleHardwareX2025

A low-cost portable system for 3-Axis measurement of static and extremely low frequency magnetic fields.

Veronika Wohlmuthova, Michal Labuda, Mariana Benova

Abstract read
In one paragraph

Article in HardwareX, 2025. 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.

Veronika WohlmuthovaUniversity of Zilina, Faculty of Electrical Engineering and Information Technology, Department of Electromagnetic and Biomedical Engineering, Univerzitna 8215/1, Zilina 010 26, Slovakia.
Michal LabudaUniversity of Zilina, Faculty of Electrical Engineering and Information Technology, Department of Electromagnetic and Biomedical Engineering, Univerzitna 8215/1, Zilina 010 26, Slovakia.
Mariana BenovaUniversity of Zilina, Faculty of Electrical Engineering and Information Technology, Department of Electromagnetic and Biomedical Engineering, Univerzitna 8215/1, Zilina 010 26, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic fields play a crucial role in modern science and technology - yet precise and accessible tools for their measurement remain limited, especially for small laboratories, educators, or independent researchers. This paper introduces a novel, open-source magnetic field measurement system based on three-axis sensors for monitoring both direct and extremely low frequency magnetic fields. The device features a modular hardware design centered around a custom PCB, enabling flexible analog filtering, Bluetooth data transmission, and offline LCD visualization. By combining the MC858 and MPU9250 sensors with precise analog signal conditioning and a 12-bit ADC, the system ensures reliable detection of magnetic fields including the 50 Hz mains frequency and its harmonics. To verify the functionality of the device, experimental measurements were conducted inside a Faraday cage using a common hair dryer placed at distances of 1 cm and 3 cm from the sensors as a source of electromagnetic field. Frequency analysis confirmed reliable detection of the dominant 50 Hz component and its harmonics, as well as the system's ability to distinguish changes in field intensity based on distance and operating state of the source device.

Indexed as

3-axis magnetic sensingElectromagnetic fieldsELF magnetic fieldsMagnetic field meterStatic magnetic fields

Identifiers

PMID40740210
PMCPMC12309262

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.