• DocumentCode
    2401014
  • Title

    Signal characteristics of cerebellar activity recorded with 2D micro-electrode arrays

  • Author

    Groth, Jonathan D. ; Sahin, Mesut

  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    2937
  • Lastpage
    2939
  • Abstract
    Recordings were performed on the rat paramedian lobule of the cerebellum with a surface micro-electrode array during hand licking and quiet states. The Fast Fourier Transform (FFT) and average coherence both showed a change in the frequency distributions between active and quiet conditions. The signals were segregated into different frequency bands and the signal compositions were analyzed. In each of the bands an increase in neural activity was seen at the onset of activity. Frequency coherence analysis was performed between electrodes at two different separations for active and quiet conditions. The coherence analysis showed that there was an increase in coherence for shorter distances and during activity.
  • Keywords
    array signal processing; bioMEMS; biomedical electrodes; brain; deconvolution; fast Fourier transforms; medical signal processing; microelectrodes; neurophysiology; 2D microelectrode arrays; FFT; cerebellar activity signal characteristics; fast Fourier transform; frequency coherence analysis; murine cerebellum paramedian lobule; murine hand licking state; murine quiet state; signal composition; signal segregation; surface microelectrode array; Amplifiers, Electronic; Animals; Cerebellum; Electrodes; Electrophysiology; Fourier Analysis; Male; Microelectrodes; Models, Neurological; Neurons; Oscillometry; Rats; Rats, Long-Evans; Signal Processing, Computer-Assisted; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333989
  • Filename
    5333989