• DocumentCode
    44087
  • Title

    Non-Contact ECG Sensing Employing Gradiometer Electrodes

  • Author

    GuoChen Peng ; Bocko, M.F.

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Rochester, Rochester, NY, USA
  • Volume
    60
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    179
  • Lastpage
    183
  • Abstract
    Noncontact, capacitive electrocardiogram (ECG) measurements are complicated by motion artifacts from the relative movement between the ECG electrodes and the subject. To compensate for such motion we propose to employ first and second order gradiometer electrode designs. A MATLAB-based simulation tool to enable assessment of different electrode configurations and placements on human subjects has been developed to guide the refinement of electrode designs. Experimental measurements of the sensitivity, motion artifact cancellation, and common mode rejection for various prototype designs were conducted with human subjects. Second order gradiometer electrode designs appear to give the best performance as measured by signal to noise plus distortion ratio. Finally, both gradiometer designs were compared with standard ECG recording methods and showed less than 1% beat detection mismatch employing an open source beat detection algorithm.
  • Keywords
    biomedical electrodes; electrocardiography; medical signal processing; motion compensation; ECG electrodes; MATLAB based simulation tool; capacitive electrocardiogram; common mode rejection; electrode configurations; electrode placements; first order gradiometer electrode design; gradiometer electrodes; motion artifact cancellation; motion artifacts; motion compensation; noncontact ECG sensing; open source beat detection algorithm; second order gradiometer electrode design; Capacitance; Clothing; Electrocardiography; Electrodes; Humans; Noise; Standards; Body surface potential map (BSPM); capacitive sensors; charge preamplifier; common mode rejection ratio (CMRR); electrocardiography; modeling; motion artifacts; Algorithms; Artifacts; Body Surface Potential Mapping; Computer Simulation; Electrodes; Equipment Design; Humans; Movement; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2012.2219531
  • Filename
    6305466