Digital Signal Processing by Virtual Instrumentation of a MEMS Magnetic Field Sensor for Biomedical Applications

Juarez-Aguirre, R.; Domínguez-Nicolás, Saúl M.; Manjarrez, Elı́as; Tapia, Jesús Alonso; Figueras, E.; Vázquez-Leal, H.; Aguilera-Cortés, Luz Antonio; Herrera-May, Agustín L.

doi:10.3390/s131115068

Cited by 16 publications

(13 citation statements)

References 44 publications

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“…Figure 3 shows the measurement system of MMM signals around three different rectangular defects of an ASTM A-36 steel pipe. This system includes a rotatory mechanism, a magnetoresistive sensor (MAG3110), an Arduino nano (ATmega328) and a virtual instrumentation developed in Delphi Borland code [31]. The rotatory mechanism uses a motor (Bühler GmbH, Braunschweig, Germany) that is supplied with 1.5 V dc to generate a rotational motion of 2 rpm.…”

Section: Resultsmentioning

confidence: 99%

Measurement System of Metal Magnetic Memory Method Signals around Rectangular Defects of a Ferromagnetic Pipe

et al. 2019

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Oil and gas pipeline networks require the periodic inspection of their infrastructure, which can cause gas and oil leakage with several damages to the environment and human health. For this, non-destructive testing (NDT) techniques of low-cost and easy implementation are required. An option is the metal magnetic memory (MMM) method, which could be used for real-time monitoring defects of ferromagnetic structures based on the analysis of self-magnetic leakage fields distribution around each defect. This method only requires magnetic sensors with high resolution and a data processing system. We present a measurement system of tangential and normal MMM signals of three rectangular defects of an ASTM A-36 steel pipe. This system is formed by a magnetoresistive sensor, an Arduino nano and a virtual instrumentation. The measured magnetic signals have non-uniform distributions around the rectangular defects, which have small differences with respect to the results obtained of a 2D magnetic dipole model. The size of each rectangular defect is related to the amplitude and shape of its tangential and normal MMM signals. The proposed system could be used for real-time monitoring of the size and location of rectangular defects of ferromagnetic pipes. This system does not require expensive equipment, operators with high skill level or a special treatment of the ferromagnetic samples.

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Section: Resultsmentioning

confidence: 99%

Measurement System of Metal Magnetic Memory Method Signals around Rectangular Defects of a Ferromagnetic Pipe

et al. 2019

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“…Attempting to numerically integrate yeilds signals with large baseline wander. This makes induction coil magnetometers not ideal for low frequency field measurement, though their performance can be improved with a fluxgate arrangement [41] or mechanical dithering of the sensors [42]. The derivative signals do not contain reliable absolute amplitude information, but they contain the same relative amplitude information and therefore the normalised spatial measurement is unaffected.…”

Section: Data Acquisition and Dspmentioning

confidence: 99%

“…The sensitivity to low frequency could be increased by lock-in to a global excitation field provided by a fluxgate or mechanical dithering arrangement [41,42,[49][50][51].…”

Section: First Mcg Measurementsmentioning

confidence: 99%

A portable diagnostic device for cardiac magnetic field mapping

Mooney

Ghasemi-Roudsari

Banham

et al. 2017

Biomed. Phys. Eng. Express

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In this paper we present a portable magnetocardiography device. The focus of this development was delivering a rapid assessment of chest pain in an emergency department. The aim was therefore to produce an inexpensive device that could be rapidly deployed in a noisy unshielded ward environment. We found that induction coil magnetometers with a coil design optimized for magnetic field mapping possess sufficient sensitivity (104f T / √ Hz noise floor at 10Hz) and response (813f T /µV at 10Hz) for cycle averaged magnetocardiography and are able to measure depolarisation signals in an unshielded environment. We were unable to observe repolarisation signals to a reasonable fidelity. We present the design of the induction coil sensor array and signal processing routine along with data demonstrating performance in a hospital environment.

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“…Magnetic field sensors have numerous applications now encompassing sensors for the automotive industry, consumer electronics products, telecommunications, military instruments, electronic compass, non-destructive testing, and biomedical sector [1][2][3][4][5][6][7]. Resonant magnetic field sensors based on microelectromechanical system (MEMS) have important advantages, including small size, lightweight, low power consumption, and high resolution [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A MEMS-based magnetic field sensor with simple resonant structure and linear electrical response

Herrera-May

Lara-Castro

López-Huerta

et al. 2015

Microelectronic Engineering

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Digital Signal Processing by Virtual Instrumentation of a MEMS Magnetic Field Sensor for Biomedical Applications

Cited by 16 publications

References 44 publications

Measurement System of Metal Magnetic Memory Method Signals around Rectangular Defects of a Ferromagnetic Pipe

Measurement System of Metal Magnetic Memory Method Signals around Rectangular Defects of a Ferromagnetic Pipe

A portable diagnostic device for cardiac magnetic field mapping

A MEMS-based magnetic field sensor with simple resonant structure and linear electrical response

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