• DocumentCode
    2721214
  • Title

    Detecting tremors in microelectrode recordings without using a spike detector

  • Author

    Kim, S. ; McNames, J. ; Burchiel, K.

  • Author_Institution
    Biomedical Signal Process. Laboratory, Electr. & Comput. Eng., Portland State Univ., OR, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    1-5 Sept. 2004
  • Firstpage
    357
  • Lastpage
    360
  • Abstract
    Tremor detection in extracellular neuronal recordings has required spike detection because tremors in extracellular neuronal recordings are caused by the fluctuation of action potential´s firing rate. This work describes an automatic tremor detection algorithm of extracellular neuronal recordings without using a spike detector. The new algorithm is robust to noise and its performance is not affected by various morphologies of action potentials.
  • Keywords
    bioelectric potentials; medical signal processing; microelectrodes; neurophysiology; action potential firing rate; extracellular neuronal recordings; microelectrode recordings; spike detector; tremor detection; Algorithm design and analysis; Detection algorithms; Detectors; Extracellular; Fluctuations; Frequency estimation; Frequency modulation; Microelectrodes; Pulse modulation; Signal processing algorithms; deep brain stimulator; extracellular neuronal recordings; microelectrode recording (MER); power spectra density (PSD); stereotactic surgery; tremor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-8439-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2004.1403166
  • Filename
    1403166