A Signal Conditioner System for Mems based Magnetic Field Sensors using Arduino

Enoch Tetteh Amoatey; Henry Kwame Atiglah; Daniel Krah

A Signal Conditioner System for Mems based Magnetic Field Sensors using Arduino

Enoch Tetteh Amoatey * §

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Henry Kwame Atiglah

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Daniel Krah

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§ Tamale Technical University

A Signal Conditioner System for Mems based Magnetic Field Sensors using Arduino

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Abstract

Sensors have become useful in many areas of our contemporary lives and also in industries, where they are largely used for measuring physical quantities for the purposes of analysis or control. The use of sensors is essential in areas such as industrial automation, robotics, environmental control, household appliances, agriculture, medicine, among other areas. Magnetic fields generated by the brain or heart are very useful in clinical diagnoses, so the magnetic signals produced by others Organs are also of great interest hence the need to condition the measured output of magnetic field sensors. The objective of this work is to realize a signal conditioning system for a magnetic field sensor based on MEMS technology. We achieve this by feeding sinusoidal signals to the magnetic field sensor using the Arduino system to obtain a linear response. The linear response is then conditioned by a MEMS signal conditioning system. We finally transmit the conditioned signal to a system receiver wirelessly, which will be visualized.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Enoch Amoatey, Henry Atiglah, Daniel Krah. 2020. "A Signal Conditioner System for Mems based Magnetic Field Sensors using Arduino". Global Journal of Research in Engineering, Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 20 (GJRE Volume 20 Issue F4).

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GJRE Volume 20 Issue F4

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-F Classification FOR Code: 090699

Submission ReceivedDecember 14, 2019
Peer Review Double Blind
Handling Editor
Accepted December 31, 2019
Published January 15, 2020

Version of record

v1.2

Issue date

October 19, 2020

Language

English

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