Paper Info
Title
Ultrasensitive Magnetoelectric Sensing System for Pico-Tesla MagnetoMyoGraphy
Abstract
Magnetomyography (MMG) with superconducting quantum interference devices (SQUIDs) enabled the measurement of very weak magnetic fields (femto to pico Tesla) generated from the human skeletal muscles during contraction. However, SQUIDs are bulky, costly, and require working in a temperature-controlled environment, limiting wide-spread clinical use. We introduce a low-profile magnetoelectric (ME) sensor with analog frontend circuitry that has sensitivity to measure pico-Tesla MMG signals at room temperature. It comprises magnetostrictive and piezoelectric materials, FeCoSiB/AlN. Accurate device modelling and simulation are presented to predict device fabrication process comprehensively using the finite element method (FEM) in <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">COMSOL Multiphysics</italic> . The fabricated ME chip with its readout circuit was characterized under a dynamic geomagnetic field cancellation technique. The ME sensor experiment validate a very linear response with high sensitivities of up to 378 V/T driven at a resonance frequency of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</italic> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">res</sub> = 7.76 kHz. Measurements show the sensor limit of detections of down to 175 pT/√Hz at resonance, which is in the range of MMG signals. Such a small-scale sensor has the potential to monitor chronic movement disorders and improve the end-user acceptance of human–machine interfaces.
Year
DOI
Venue
2020
10.1109/TBCAS.2020.2998290
IEEE Transactions on Biomedical Circuits and Systems
Keywords
DocType
Volume
Magnetic resonance,Magnetoelectric effects,Integrated circuit modeling,Magnetic field measurement,Magnetostriction,Magnetic fields,Magnetic noise
Journal
14
Issue
ISSN
Citations 
5
1932-4545
2
PageRank 
References 
Authors
0.45
0
9
Name
Order
Citations
PageRank
Siming Zuo121.47
Julius Schmalz220.45
Mesut-Ömür Özden320.45
Martina Gerken431.61
Jingxiang Su520.45
Florian Niekiel620.45
Fabian Lofink720.79
Kianoush Nazarpour87519.08
Hadi Heidari95623.44