• DocumentCode
    862321
  • Title

    Passive Neutralization of Myoelectric Interference From Neural Recording Tripoles

  • Author

    Pachnis, Ioannis ; Demosthenous, Andreas ; Donaldson, Nick

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. Coll. London
  • Volume
    54
  • Issue
    6
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    1067
  • Lastpage
    1074
  • Abstract
    In this paper, we present a simple passive technique for removing myoelectric interference in neural recording systems using tripolar electrodes. Imbalance is simply unavoidable with the conventional quasi-tripole (QT) amplifier and this technakshnique is based on a modified version of the QT, which sees the tripole as a bridge that can be balanced by adding impedance to one of the outer electrodes. We show that parallel resistance and capacitance is better than a series combination for use at all frequencies, and that with a tripole that was intentionally made imbalanced, by an amount that we measure as 3%, the interference can be reduced about 10-fold. It is important to null the interference at low frequencies, in the electromyography (EMG) band, to get the best improvement. Common-mode interference can also be reduced by appropriate trimming if necessary
  • Keywords
    amplifiers; biomedical electrodes; electromyography; neurophysiology; EMG; capacitance; common-mode interference; electromyography; myoelectric interference; neural recording tripoles; parallel resistance; passive neutralization; quasitripole amplifier; tripolar electrodes; Bridge circuits; Capacitance measurement; Electrical resistance measurement; Electrodes; Electromyography; Frequency; Impedance; Insulation; Interference; Muscles; EMG; ENG; imbalance; passive neutralization; quasi-tripole; tripolar recording amplifier; true-tripole; Action Potentials; Amplifiers; Artifacts; Computer Simulation; Computer-Aided Design; Electrodes, Implanted; Electromyography; Equipment Design; Equipment Failure Analysis; Microelectrodes; Models, Neurological; Peripheral Nerves; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2007.891170
  • Filename
    4203021