Integrated Pico-Tesla Resolution Magnetoresistive Sensors for Miniaturised Magnetomyography

Zuo, S., Nazarpour, K., Böhnert, T., Paz, E., Freitas, P., Ferreira, R. and Heidari, H. (2020) Integrated Pico-Tesla Resolution Magnetoresistive Sensors for Miniaturised Magnetomyography. In: 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20), Montreal, Quebec, Canada, 20-24 July 2020, pp. 3415-3419. ISBN 9781728119908 (doi: 10.1109/EMBC44109.2020.9176266)

214038.pdf - Accepted Version



Magnetomyography (MMG) is the measurement of magnetic signals generated in the skeletal muscle of humans by electrical activities. However, current technologies developed to detect such tiny magnetic field are bulky, costly and require working at the temperature-controlled environment. Developing a miniaturized, low cost and room temperature magnetic sensors provide an avenue to enhance this research field. Herein, we present an integrated tunnelling magnetoresistive (TMR) array for room temperature MMG applications. TMR sensors were developed with low-noise analogue front-end circuitry to detect the MMG signals without and with averaging at a high signal-to-noise ratio. The MMG was achieved by averaging signals using the Electromyography (EMG) signal as a trigger. Amplitudes of 200 pT and 30 pT, corresponding to periods when the hand is tense and relaxed, were observed, which is consistent with muscle simulations based on finite-element method (FEM) considering the effect of distance from the observation point to the magnetic field source.

Item Type:Conference Proceedings
Additional Information:The work of KN is supported by grants EP/N023080/1 and EP/R004242/1 from EPSRC, UK.
Glasgow Author(s) Enlighten ID:Zuo, Dr Siming and Heidari, Professor Hadi
Authors: Zuo, S., Nazarpour, K., Böhnert, T., Paz, E., Freitas, P., Ferreira, R., and Heidari, H.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Copyright Holders:Crown Copyright © 2020
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
304896EPSRC-IAA: Early Stage Commercialisation of a PET Imaging Agent for the Detection of Cardiovascular Disease and CancerAndrew SutherlandEngineering and Physical Sciences Research Council (EPSRC)EP/R511705/1Chemistry