A Model of the Magnetic Fields Created by Single Motor Unit Compound Action Potentials in Skeletal Muscle Kevin Kit Parker and John P

Total Page:16

File Type:pdf, Size:1020Kb

A Model of the Magnetic Fields Created by Single Motor Unit Compound Action Potentials in Skeletal Muscle Kevin Kit Parker and John P 948 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 44, NO. 10, OCTOBER 1997 A Model of the Magnetic Fields Created by Single Motor Unit Compound Action Potentials in Skeletal Muscle Kevin Kit Parker and John P. Wikswo, Jr.,* Member, IEEE Abstract—We have developed a computationally simple model Of particular interest is the MMG, although much of what for calculating the magnetic-field strength at a point due to a we state about the MMG is applicable to the MNG in the single motor unit compound action potential (SMUCAP). The appropriate context. The EMG and the MMG have similarities, motor unit is defined only in terms of its anatomical features, and the SMUCAP is approximated using the tripole model. The as they are both measurements of the same phenomena of distributed current density J is calculated within the volume propagation of action signals along an excitable fiber, that defined by the motor unit. The law of Biot and Savart can then are documented in the literature [1], [2]. Recordings made be cast in a form necessitating that J be integrated only over in our laboratory on single motor units (SMU’s) of the extens the region containing current sources or conductivity boundaries. or digitorum longus in rats [1] and a subsequent analysis of The magnetic-field strength is defined as the summation of the contributions to the field made by every muscle fiber in the motor the magnetic recording technique [3] showed two important unit. Applying this model to SMUCAP measurements obtained features of the MMG: the AF was less sensitive to the position using a high-resolution SUper Conducting Quantum Interference of the magnetometer than the electric potential recording Device (SQUID) magnetometer may yield information regarding was to electrode placement, and the AF associated with AC the distribution of action currents (AC’s) and the anatomical properties of single motor units within a muscle bundle. in cylindrical fibers is less sensitive to the conductivities of the medium surrounding the bundle than is the surface Index Terms— Electromyogram, magnetomyogram, matemati- electric potential. Thus, magnetic recordings should provide cal model, SQUID. a clearer immediate picture of the bundle physiology than do the extracellular electric signals recorded on the skin. I. INTRODUCTION The MMG offers several additional advantages over the HE electroneurogram (ENG) and the electromyogram EMG. The noninvasive nature of the MMG is clinically attrac- T(EMG) are recordings of an electric potential difference tive over needle electrode recordings of the EMG and possibly between two points in the vicinity of an active nerve or more reliable than surface recorded electrodes [4]. Electrode muscle bundle. The measurements can be made using surface measurements are greatly affected by the surrounding tissue, electrodes on the skin over the active bundle, or with invasive whose conductivities can vary by orders of magnitude [5]. The electrodes in or around the bundle. Ionic currents propagating MMG does not show this sensitivity because the magnetic along the length of fibers in the bundle give rise to action permeability of all biological tissues is very close to that of potentials (AP’s) which are manifest as the electric potential free space. difference between the electrodes. These currents also produce Yet another advantage of the MMG over the EMG arises the magnetic fields that are recorded as the magnetoneurogram from the vector nature of the magnetic field. All three compo- (MNG) and the magnetomyogram (MMG). These signals may nents of the magnetic-field vector may be measured with the be defined as the measurement of one component of the same ease as can a single component. The surface-recorded magnetic field versus time, where the sources of the field EMG is restricted to the plane of the skin and yields no are the propagating action currents (AC’s). For bundles where such vector information. Such vector information could aid in multiple fibers are active at the same time and contribute to the the localization of the bioelectric source(s). It is important to measured signal, the summation of these signals is defined as note, however, that the magnetic field outside the body can be a compound signal, i.e., the action field (AF) measured from described by a scalar magnetic potential, so a complete map of a muscle bundle where multiple fibers are active is referred to a single field component would contain all of the information as the compound action field (CAF). present in the magnetic field. Previous models of the MMG have been computationally Manuscript received August 11, 1995; revised May 6, 1997. This work was exhaustive [6]. We have developed a simple model of a single, supported in part by the National Institutes of Health under Grants NS 24751 cylindrical fiber in an unbounded, homogeneous conductor to and NS 19794. Asterisk indicates corresponding author. K. K. Parker is with the Living State Physics Group, Department of Physics support inverse techniques capable of determining the position and Astronomy, Vanderbilt University, Nashville, TN 37235 USA. of the effective electrical axis of a motor unit and the number *J. P. Wikswo, Jr. is with the Living State Physics Group, Department of of fibers in the motor unit [7], [8]. Thus, we have reduced Physics and Astronomy, Vanderbilt University, Box 1807 Station B, Nashville, TN 37235 USA (e-mail: [email protected]). the description of the motor unit in the forward model to Publisher Item Identifier S 0018-9294(97)06900-0. anatomical features and other features based on single fiber 0018–9294/97$10.00 © 1997 IEEE Authorized licensed use limited to: IEEE Xplore. Downloaded on January 5, 2009 at 16:06 from IEEE Xplore. Restrictions apply. PARKER AND WIKSWO: MODEL OF MAGNETIC FIELDS CREATED BY SMUCAP’S IN SKELETAL MUSCLE 949 recordings in the laboratory environment. In this paper, we first develop a model of the extracellular potential based on our assumption regarding the nature of the transmembrane potential and then we develop a model of the magnetic fields produced by the intracellular currents. Simulations with this model indicate that the model is an accurate representation of the physiological phenomena we have observed. (a) II. A MODEL OF THE SINGLE MOTOR UNIT COMPOUND ACTION POTENTIAL (SMUCAP) A model of the AP propagating along an excitable fiber was introduced by Plonsey [9], who made assumptions about the transmembrane potential in order to derive the extracellular potential. These assumptions are summarized in Fig. 1, in which the transmembrane is approximated as a triangular waveform, Fig. 1(a), whose first and second spatial derivatives (b) are also shown in Fig. 1(b) and 1(c), respectively. We present the relevant results of Plonsey’s model. We can assume that the propagation of the AP along the length of an excitable fiber is quasi-static, so that the curl of the extracellular electric field is zero and, hence, it can be described as the negative gradient of a scalar potential, In the volume containing the excited fiber, the total current density can be separated into two components (c) (1) where is the impressed current density, which describes the current sources produced by the active fiber, and is the Ohmic-volume current density, i.e., the return current in the medium. We wish to determine the extracellular potential, , given a simplified description of from an active fiber. In the quasi-static limit, we can neglect displacement currents, so the divergence of the total current density is zero, and (1) becomes Fig. 1. The tripole model. Propagation is toward the left: (a) the trans- (2) membrane potential is approximated as a triangular waveform, (b) the first spatial derivative of the transmembrane potential is equal to the intracellular This is Poisson’s equation, which has the solution current, and (c) the second spatial derivative of the transmembrane potential is proportional to the membrane current. (Adapted from [8].) (3) and the membrane current is given by the continuity condition where is the field point at which is being measured and (5) is the source point. We immediately identify as the current source and the intracellular current, , are related by Ohm’s law density in the extracellular space, i.e., any impressed current density that disappears from the intracellular space must cross (6) the membrane as a current, , and then appear as a current where is the intracellular resistivity per unit length of the source in the extracellular space. fiber, defined by We now need to relate the current source density to the transmembrane potential, If we consider the extracellular (7) space to be extensive in comparison to the intracellular space, changes in will be much smaller than changes in the where is the intracellular conductivity and is the axon intracellular potential, and can, to first order, be ignored, radius. The three previous expressions can be combined to i.e., we limit ourselves to the core-conductor model [11]. In yield this case (8) (4) Authorized licensed use limited to: IEEE Xplore. Downloaded on January 5, 2009 at 16:06 from IEEE Xplore. Restrictions apply. 950 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 44, NO. 10, OCTOBER 1997 which shows that the current flowing outward from the mem- This integral can be divided into two parts, one for the brane element is directly proportional to the second spatial depolarization phase and the other for repolarization, and derivative of the transmembrane potential. the spatial extent of each phase determines the limits of Because we are using the triangular AP in Fig. 1(a), integration. Combining this with (6), we have is nonzero only at three points, as shown in Fig. 1(c), and the current source density is given by (9) where and are the strength and location, respectively, of the th current source and is the Dirac delta function (14) [10].
Recommended publications
  • Noninvasive Muscle Activity Imaging Using Magnetography
    Noninvasive muscle activity imaging using magnetography Rodolfo R. Llinása,1,2, Mikhail Ustininb,2, Stanislav Rykunovb,2, Kerry D. Waltona,2, Guilherme M. Rabelloa,2, John Garciaa,2, Anna Boykob,2, and Vyacheslav Sychevb,2 aDepartment of Neuroscience and Physiology, Center for Neuromagnetism, New York University School of Medicine, New York, New York, 10016; and bKeldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow, 125047 Russia Contributed by Rodolfo R. Llinás, November 19, 2019 (sent for review August 12, 2019; reviewed by Edgar Garcia-Rill and David Poeppel) A spectroscopic paradigm has been developed that allows the mag- Results netic field emissions generated by the electrical activity in the hu- The results obtained in the present set of functional tomo- man body to be imaged in real time. The growing significance of grams correspond to actual anatomical data, very much to imaging modalities in biology is evident by the almost exponential those obtained by head MRI, or by direct observation in other increase of their use in research, from the molecular to the ecolog- cases. Recordings were made from the head (Fig. 1), heart ical level. The method of analysis described here allows totally non- (Figs. 2 and 3), and several muscle groups (Figs. 4 and 5) at invasive imaging of muscular activity (heart, somatic musculature). rest and during voluntary contraction, or under conditions Such imaging can be obtained without additional methodological where muscles were intrinsically activated during muscle pain steps such as the use of contrast media. (Fig. 5). magnetoencephalography | magnetocardiography | magnetomyograph | Recordings with the Head in the Sensor Helmet.
    [Show full text]
  • Arxiv:2008.00082V3 [Physics.Atom-Ph] 12 Oct 2020
    Sensitive magnetometry in challenging environments Kai-Mei C. Fu,1 Geoffrey Z. Iwata,2, 3 Arne Wickenbrock,2, 3 and Dmitry Budker2, 3, 4 1University of Washington, Physics Department and Electrical and Computer Engineering Department, Seattle, WA, 98105, USA 2Helmholtz-Institut, GSI Helmholtzzentrum f¨ur Schwerionenforschung, 55128 Mainz, Germany 3Johannes Gutenberg-Universit¨atMainz, 55128 Mainz, Germany 4Department of Physics, University of California, Berkeley, CA 94720-7300, USA (Dated: October 13, 2020) State-of-the-art magnetic field measurements performed in shielded environments with carefully controlled conditions rarely reflect the realities of those applications envisioned in the introductions of peer-reviewed publications. Nevertheless, significant advances in magnetometer sensitivity have been accompanied by serious attempts to bring these magnetometers into the challenging working environments in which they are often required. This review discusses the ways in which various (predominantly optically-pumped) magnetometer technologies have been adapted for use in a wide range of noisy and physically demanding environments. I. INTRODUCTION of the sensor with the environment itself - it would be a difficult task indeed to convince a doctor to place a hot rubidium or cesium vapor cell inside a patient's body, no Magnetic fields are routinely measured with high sen- matter how well protected. sitivity to probe the physical processes that underlie a Unsurprisingly, utilization of enhanced measurement vast array of natural phenomena. From geological move- techniques and noise mitigation is an integral part of ments, solar flares, and atmospheric discharge, to inter- magnetometer development across many applications, cellular processes, neuronal communication in the brain, and is well documented across the literature.
    [Show full text]
  • Optimisation of a Diamond Nitrogen Vacancy Centre Magnetometer for Sensing of Biological Signals
    Optimisation of a diamond nitrogen vacancy centre magnetometer for sensing of biological signals August 26, 2020 []James L. Webb 1,∗, Luca Troise 1, Nikolaj W. Hansen 2, Jocelyn Achard 3, Ovidiu Brinza 3, Robert Staacke 4, Michael Kieschnick 4, Jan Meijer 4, Jean-Fran¸cois Perrier 2, Kirstine Berg Sørensen 1, Alexander Huck 1 and Ulrik Lund Andersen 1 Abstract 1 Sensing of signals from biological processes, such as action potential propagation in nerves, are essential for clinical diagnosis and basic understanding of physiology. Sensing can be performed electrically by placing sensor probes near or inside a liv- ing specimen or dissected tissue using well established electrophysiology techniques. However, these electrical probe techniques have poor spatial resolution and can- not easily access tissue deep within a living subject, in particular within the brain. An alternative approach is to detect the magnetic field induced by the passage of the electrical signal, giving the equivalent readout without direct electrical contact. Such measurements are performed today using bulky and expensive superconduct- ing sensors with poor spatial resolution. An alternative is to use nitrogen vacancy (NV) centres in diamond that promise biocompatibilty and high sensitivity without arXiv:2004.02279v2 [quant-ph] 24 Aug 2020 cryogenic cooling. In this work we present advances in biomagnetometry using NV centres, demonstrating magnetic field sensitivity of approximately 100 pT/√Hz in the DC/low frequency range using a setup designed for biological measurements. Biocompatibility of the setup with a living sample (mouse brain slice) is studied and optimized, and we show work toward sensitivity improvements using a pulsed magnetometry scheme.
    [Show full text]
  • Muscle Fatigue Revisited - Insights from Optically Pumped Magnetometers
    bioRxiv preprint doi: https://doi.org/10.1101/2021.05.03.442396; this version posted May 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Muscle fatigue revisited - Insights from optically pumped magnetometers Davide Sometti2,3,6, Lorenzo Semeia5,6, Hui Chen2,3, Juergen Dax2,3, Cornelius Kronlage1, Sangyeob Baek2,3,11, Milena Kirchgässner1, Alyssa Romano1, Johanna Heilos1, Deborah Staber1, Julia Oppold1, Giulia Righetti2,3,4, Thomas Middelmann5, Christoph Braun2,3,6,7, Philip Broser8, Justus Marquetand 1,2,3 1 Department of Epileptology, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany 2 Department of Neural Dynamics and Magnetoencephalography, Hertie-Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany 3 MEG-Center, University of Tübingen, Tübingen, Germany 4 Center for Ophthalmology, University of Tübingen, Tübingen, Germany 5 IDM/fMEG Center of the Helmholtz Center Munich at the University of Tübingen, University of Tübingen, German Center for Diabetes Research (DZD), Tübingen, Germany 6 Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tübingen, 72074 Tübingen, Germany 7 Department of Biosignals, Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany 8 CIMeC, Center for Mind/Brain Sciences, University of Trento, Rovereto, Italy 9 DiPsCo, Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy 10 Children's Hospital of Eastern Switzerland, Sankt Gallen, Switzerland. 11 University of Freiburg, Freiburg, Germany Corresponding Author: Justus Marquetand Email: [email protected] Hoppe-Seyler-Str.3 72076 Tübingen Germany bioRxiv preprint doi: https://doi.org/10.1101/2021.05.03.442396; this version posted May 4, 2021.
    [Show full text]
  • Miniaturized Magnetic Sensors for Implantable Magnetomyography
    PROGRESS REPORT www.advmattechnol.de Miniaturized Magnetic Sensors for Implantable Magnetomyography Siming Zuo, Hadi Heidari,* Dario Farina, and Kianoush Nazarpour* 1972.[1] Cohen and Gilver defined the mag- Magnetism-based systems are widely utilized for sensing and imaging netomyogram signal to be a recording of biological phenomena, for example, the activity of the brain and the heart. one component of the magnetic field vector versus time, where the magnetic field at Magnetomyography (MMG) is the study of muscle function through the inquiry the point of measurement is due to cur- of the magnetic signal that a muscle generates when contracted. Within the rents generated by skeletal muscle. The last few decades, extensive effort has been invested to identify, characterize correspondence between the MMG method and quantify the magnetomyogram signals. However, it is still far from a and its electrical counterpart, that is the miniaturized, sensitive, inexpensive and low-power MMG sensor. Herein, the electromyography (EMG) technique.[2] Both state-of-the-art magnetic sensing technologies that have the potential to realize stems directly from the Maxwell–Ampère law, as illustrated in Figure 1a. However, a low-profile implantable MMG sensor are described. The technical challenges the ease at which the EMG signal can be associated with the detection of the MMG signals, including the magnetic field recorded and the similarity between the of the Earth and movement artifacts are also discussed. Then, the development temporal and spectral characteristics of the of efficient magnetic technologies, which enable sensing pico-Tesla signals, MMG and EMG signals have encouraged is advocated to revitalize the MMG technique.
    [Show full text]
  • Noninvasive Muscle Activity Imaging Using Magnetography
    Noninvasive muscle activity imaging using magnetography Rodolfo R. Llinása,1,2, Mikhail Ustininb,2, Stanislav Rykunovb,2, Kerry D. Waltona,2, Guilherme M. Rabelloa,2, John Garciaa,2, Anna Boykob,2, and Vyacheslav Sychevb,2 aDepartment of Neuroscience and Physiology, Center for Neuromagnetism, New York University School of Medicine, New York, New York, 10016; and bKeldysh Institute of Applied Mathematics, Russian Academy of Sciences, Moscow, 125047 Russia Contributed by Rodolfo R. Llinás, November 19, 2019 (sent for review August 12, 2019; reviewed by Edgar Garcia-Rill and David Poeppel) A spectroscopic paradigm has been developed that allows the mag- Results netic field emissions generated by the electrical activity in the hu- The results obtained in the present set of functional tomo- man body to be imaged in real time. The growing significance of grams correspond to actual anatomical data, very much to imaging modalities in biology is evident by the almost exponential those obtained by head MRI, or by direct observation in other increase of their use in research, from the molecular to the ecolog- cases. Recordings were made from the head (Fig. 1), heart ical level. The method of analysis described here allows totally non- (Figs. 2 and 3), and several muscle groups (Figs. 4 and 5) at invasive imaging of muscular activity (heart, somatic musculature). rest and during voluntary contraction, or under conditions Such imaging can be obtained without additional methodological where muscles were intrinsically activated during muscle pain steps such as the use of contrast media. (Fig. 5). magnetoencephalography | magnetocardiography | magnetomyograph | Recordings with the Head in the Sensor Helmet.
    [Show full text]
  • REVIEW ARTICLE Superconducting Quantum Interference Device
    REVIEW OF SCIENTIFIC INSTRUMENTS 77, 101101 ͑2006͒ REVIEW ARTICLE Superconducting quantum interference device instruments and applications R. L. Fagaly Tristan Technologies, 6185 Cornerstone Court East, Suite 106, San Diego, California 92121 ͑Received 7 November 2005; accepted 18 July 2006; published online 11 October 2006͒ Superconducting quantum interference devices ͑SQUIDs͒ have been a key factor in the development and commercialization of ultrasensitive electric and magnetic measurement systems. In many cases, SQUID instrumentation offers the ability to make measurements where no other methodology is possible. We review the main aspects of designing, fabricating, and operating a number of SQUID measurement systems. While this article is not intended to be an exhaustive review on the principles of SQUID sensors and the underlying concepts behind the Josephson effect, a qualitative description of the operating principles of SQUID sensors and the properties of materials used to fabricate SQUID sensors is presented. The difference between low and high temperature SQUIDs and their suitability for specific applications is discussed. Although SQUID electronics have the capability to operate well above 1 MHz, most applications tend to be at lower frequencies. Specific examples of input circuits and detection coil configuration for different applications and environments, along with expected performance, are described. In particular, anticipated signal strength, magnetic field environment ͑applied field and external noise͒, and cryogenic requirements
    [Show full text]
  • A Biomagnetic Field Mapping System for Detection of Heart Disease in a Clinical Environment
    UNIVERSITY OF LEEDS DOCTORAL THESIS A Biomagnetic Field Mapping System for Detection of Heart Disease in a Clinical Environment Author: Supervisor: John William MOONEY Prof. Benjamin T.H VARCOE A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in the Experimental Quantum Information Group School of Physics and Astronomy September 2018 iii Declaration of Authorship I, John William MOONEY , confirm that the work submitted is my own, except where work which has formed part of jointly authored publications has been included. The contribution of the candidate and the other authors to this work has been explicitly in- dicated below. I confirm that appropriate credit has been given within the thesis where reference has been made to the work of others. The chapter "Device Development" contains work from a jointly authored publica- tion: Mooney JW, Ghasemi-Roudsari S, Banham ER, Symonds C, Pawlowski N, Varcoe BTH. A portable diagnostic device for cardiac magnetic field mapping. Biomed Phys Eng Express. 2017;3(1):015008. The paper was written by myself and I was involved with all aspects of the work. The calibration of the sensor response and all the data analysis were carried out by myself. Ben Varcoe optimised the coil geometry and was project super- visor. The printed circuit boards (PCB) were populated by Shima Ghasemi and myself. Initial testing of the ICM was performed by Chris Symmonds, including gradiometer configurations. The array mounting hardware was designed and built by Brian Gibbs. The COMSOL modelling of the sensor array was performed by Nick Pawlowski and my- self.
    [Show full text]
  • A Novel Approach to Monitor Face and Whole-Head Muscular Activity
    bioRxiv preprint doi: https://doi.org/10.1101/556100; this version posted February 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Original Article Title: Head MagnetoMyography (hMMG): a novel approach to monitor face and whole-head muscular activity. Running head: hMMG to monitor whole-head muscular activity Author Affiliation: Guido Barchiesi Centre for Cognitive Neuroscience and Department of Psychology, University of Salzburg Hellbrunnerstrasse 34, 5020, Salzburg, Austria Phone: +43 (0) 662 / 8044 – 5135. [email protected], [email protected] Gianpaolo Demarchi Centre for Cognitive Neuroscience and Department of Psychology, University of Salzburg Hellbrunnerstrasse 34, 5020, Salzburg, Austria Phone: +43 (0) 662 / 8044 – 5135. [email protected] Frank H. Wilhelm Division of Clinical Psychology, Psychotherapy, and Health Psychology, Department of Psychology, University of Salzburg Hellbrunnerstrasse 34, 5020, Salzburg, Austria Phone: +43 (0) 662 / 8044 – 5103. [email protected] Anne Hauswald Centre for Cognitive Neuroscience and Department of Psychology, University of Salzburg Hellbrunnerstrasse 34, 5020, Salzburg, Austria Phone: +43 (0) 662 / 8044 – 5135. [email protected] Gaëtan Sanchez Lyon Neuroscience Research Center, Brain Dynamics and Cognition team, INSERM UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, F-69000, Lyon, France Phone: +33 6 19 09 70 70 [email protected] Nathan Weisz Centre for Cognitive Neuroscience and Department of Psychology, University of Salzburg Hellbrunnerstrasse 34, 5020, Salzburg, Austria Phone: +43 (0) 662 / 8044 – 5120. [email protected] Corresponding Author: Guido Barchiesi Centre for Cognitive Neuroscience and Department of Psychology, University of Salzburg Hellbrunnerstrasse 34, 5020, Salzburg, Austria Phone: +43 (0) 662 / 8044 – 5135.
    [Show full text]
  • Miniaturized Magnetic Sensors for Implantable Magnetomyography
    PROGRESS REPORT www.advmattechnol.de Miniaturized Magnetic Sensors for Implantable Magnetomyography Siming Zuo, Hadi Heidari,* Dario Farina, and Kianoush Nazarpour* 1972.[1] Cohen and Gilver defined the mag- Magnetism-based systems are widely utilized for sensing and imaging netomyogram signal to be a recording of biological phenomena, for example, the activity of the brain and the heart. one component of the magnetic field vector versus time, where the magnetic field at Magnetomyography (MMG) is the study of muscle function through the inquiry the point of measurement is due to cur- of the magnetic signal that a muscle generates when contracted. Within the rents generated by skeletal muscle. The last few decades, extensive effort has been invested to identify, characterize correspondence between the MMG method and quantify the magnetomyogram signals. However, it is still far from a and its electrical counterpart, that is the miniaturized, sensitive, inexpensive and low-power MMG sensor. Herein, the electromyography (EMG) technique.[2] Both state-of-the-art magnetic sensing technologies that have the potential to realize stems directly from the Maxwell–Ampère law, as illustrated in Figure 1a. However, a low-profile implantable MMG sensor are described. The technical challenges the ease at which the EMG signal can be associated with the detection of the MMG signals, including the magnetic field recorded and the similarity between the of the Earth and movement artifacts are also discussed. Then, the development temporal and spectral characteristics of the of efficient magnetic technologies, which enable sensing pico-Tesla signals, MMG and EMG signals have encouraged is advocated to revitalize the MMG technique.
    [Show full text]
  • CMOS Magnetic Sensors for Wearable Magnetomyography
    Heidari, H., Zuo, S., Krasoulis, A. and Nazarpour, K. (2018) CMOS Magnetic Sensors for Wearable Magnetomyography. In: 40th International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, HI, USA, 17-21 July 2018, ISBN 9781538636466 (doi:10.1109/EMBC.2018.8512723) There may be differences between this version and the published version. You are advised to consult the publisher’s version if you wish to cite from it. http://eprints.gla.ac.uk/160588/ Deposited on: 12 April 2018 Enlighten – Research publications by members of the University of Glasgow http://eprints.gla.ac.uk CMOS Magnetic Sensors for Wearable Magnetomyography Hadi Heidari, Senior Member, IEEE, Siming Zuo, Agamemnon Krasoulis, Member, IEEE, and Kianoush Nazarpour, Senior Member, IEEE Abstract— Magnetomyography utilizes magnetic sensors to record small magnetic fields produced by the electrical activity of muscles, which also gives rise to the electromyogram (EMG) signal typically recorded with surface electrodes. Detection and recording of these small fields requires sensitive magnetic sensors possibly equipped with a CMOS readout system. This paper presents a highly sensitive Hall sensor fabricated in a standard 0.18 µm CMOS technology for future low-field MMG applications. Our experimental results show the proposed Hall sensor achieves a high current mode sensitivity of approximately 2400 V/A/mT. Further refinement is required to enable measurement of MMG signals from muscles. Fig. 1. Wearable and implantable magnetomyography for I. INTRODUCTION prosthesis control–a vision. Electromyography (EMG) is a method by which the electrical activity of the skeletal muscles is recorded. measurement approach [1]. In fact, another advantage of Magnetomyography (MMG) is the measurement of the MMG over EMG comes from the vectorial nature of the magnetic signal, generated when the muscle is contracted magnetic field.
    [Show full text]
  • Air-Core Coil Gradiometer for Biomagnetic Sensing in Non-Shielded Environments
    Air-core Coil Gradiometer for Biomagnetic Sensing in Non-shielded Environments Keren Zhu and Asimina Kiourti ElectroScience Laboratory, Department of Electrical and Computer Engineering The Ohio State University Columbus, OH, 43212, USA [email protected], [email protected] Abstract—Magnetic fields emitted from the human body can serve as indicators of diverse health conditions. However, such fields are very small, making it hard to detect. Devices used to date for capturing these fields are bulky, expensive, and require additional equipment such as heaters, coolers, lasers, and/or shielding rooms. In this work, we report a lightweight miniature air-core coil gradiometer that is combined with advanced Digital Signal Processing (DSP) to capture biomagnetic fields in non-shielded Fig. 1. (a) Relevant coil parameters. (b) Fabricated air-core coil sensor. environments. In vitro experimental results show that our gradiometer can pick up 50-Hz signals as low as 76 fT by averaging 5 min of raw data. Notably, the gradiometer’s coil has an outer diameter of only 14.5 mm, height of 10 mm and weight of 1.64 g. In the future, this design can be modified to detect in vivo biomagnetic signals including: magnetomyography (MMG), magnetocardiography (MCG), magnetoencephalography (MEG), and magnetospinography (MSG). I. INTRODUCTION Electromagnetic fields emitted by the human body have been widely used in clinical practice to diagnose various conditions. Traditionally, electric signals are collected as they can be easily Fig. 2. Overall procedure and experimental set-up. captured via intrusive electrodes or via electrode pads adhered on the skin. However, electric signals suffer from various by [5].
    [Show full text]