• DocumentCode
    1759314
  • Title

    Acquisition of DC Component of Biopotentials With Body Surface Electrodes

  • Author

    Ishijima, Masa

  • Author_Institution
    Biomed. Eng. Dept., Tokyo City Univ., Tokyo, Japan
  • Volume
    60
  • Issue
    10
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    2961
  • Lastpage
    2966
  • Abstract
    The dc component of biological sources is difficult to measure with body surface electrodes. This is due to the existence of an electrical polarization in the interface between the electrode and the electrolyte. A system to acquire a dc component of the biological origin is proposed by means of differentiating the polarization potential from the biological one. The acquisition system is comprised of an instrumentation amplifier, an integrated semiconductor analog switch, and ordinary silver/silver-chloride body surface electrodes. Biopotentials, electrooculograms from the eyes, were noninvasively recorded by the system with the analog switch which was inserted between the electrodes to make the two inputs electrically open following them being shorted. Asymptotes of a triple exponential function were subsequently extracted by regression model analysis on the output signals that were acquired immediately after the switch opened. One of the distinctive asymptotes of the function showed that the magnitude which corresponded to eye movements stayed stable as long as the eyes were fixed. Analysis of the time constants involved in the acquisition system elucidated that the asymptote was the biological origin.
  • Keywords
    DC machines; biomedical electrodes; body sensor networks; electro-oculography; instrumentation amplifiers; regression analysis; semiconductor switches; Ag-AgCl2; acquisition system; biological origin; biological source; biopotential; dc component acquisition; electrical polarization; electrolyte; electrooculogram; eye movements; instrumentation amplifier; integrated semiconductor analog switch; ordinary silver-silver-chloride body surface electrode; output signal; polarization potential; regression model analysis; triple exponential function asymptote; Capacitance; Electric potential; Electrodes; Electrooculography; Regression analysis; Resistors; Switches; Base line drift; dc measurement; demarcation potential; electrode polarization; regression analysis; Amplifiers, Electronic; Electrodes; Electrooculography; Equipment Design; Equipment Failure Analysis; Humans; Reproducibility of Results; Semiconductors; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2266796
  • Filename
    6527324