• DocumentCode
    880017
  • Title

    Interference and Noise in Human Intracranial Microwire Recordings

  • Author

    Thorp, Christopher K. ; Steinmetz, Peter N.

  • Author_Institution
    Devicix, LLC, Eden Prairie, MN
  • Volume
    56
  • Issue
    1
  • fYear
    2009
  • Firstpage
    30
  • Lastpage
    36
  • Abstract
    Human intracranial microwire recordings have typically had poor signal-to-noise ratios (SNRs), often below 10 dB. The physiological signal source is a fixed-amplitude one; thus, SNR must be improved by reducing either noise or interference. An understanding of the interference sources, how they are coupled to the recording system, and their relative magnitudes is needed to improve SNR. We measured potentially interfering sources in a controlled laboratory model of microwire recordings. Specifically considered were interference from power lines, fluorescent lights, radio transmitters, and other nearby electrical devices. In the presence of typical mismatches in impedance (100 kOmega) and loop area (30 cm2), the greatest sources of interference are capacitive coupling to power lines (11.4 muVrms), capacitive coupling to fluorescent lights (9.7 muVrms), and nonpower line capacitive interference (8.6 muVrms). The model and techniques employed here to study human microwire recordings may also be applied to other neurophysiological recordings.
  • Keywords
    interference (signal); medical signal processing; neurophysiology; capacitive coupling; fluorescent lights; human intracranial microwire recordings; impedance; interference; neurophysiological recordings; noise; power lines; radio transmitters; resistance 100 kohm; voltage 11.4 muV; voltage 8.6 muV; voltage 9.7 muV; Fluorescence; Humans; Impedance; Interference; Laboratories; Noise reduction; Optical coupling; Power system modeling; Radio transmitters; Signal to noise ratio; Biomedical recording; electromagnetic interference; human neurophysiology; microelectrodes; Brain; Electroencephalography; Electromagnetic Fields; Epilepsy; Equipment Design; Equipment Failure Analysis; Hospitals; Humans; Microelectrodes; Neurons; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2008.2006009
  • Filename
    4637864