• DocumentCode
    864560
  • Title

    Evaluation of the stability of intracortical microelectrode arrays

  • Author

    Liu, Xindong ; McCreery, Douglas B. ; Bullara, Leo A. ; Agnew, William F.

  • Author_Institution
    Neural Eng. Program, Huntington Med. Res. Inst.s, Pasadena, CA, USA
  • Volume
    14
  • Issue
    1
  • fYear
    2006
  • fDate
    3/1/2006 12:00:00 AM
  • Firstpage
    91
  • Lastpage
    100
  • Abstract
    In order to use recorded neural activities from the brain as control signals for neuroprosthesis devices, it is important to maintain a stable interface between chronically implanted microelectrodes and neural tissue. Our previous paper introduced a method to quantify the stability of the recording microelectrodes. In this paper, the method is refined 1) by incorporating stereotypical behavioral patterns into the spike sorting program and 2) by using a classifier based on Bayes theorem for assigning the recorded action potentials to the underlying neural generators. An improved method for calculating stability index is proposed. The results for the stability of microelectrode arrays that differ in structure are presented.
  • Keywords
    Bayes methods; arrays; bioelectric potentials; brain; medical signal processing; microelectrodes; neurophysiology; prosthetics; signal classification; stability; Bayes classifier; action potentials; brain; chronically implanted microelectrodes; intracortical microelectrode array stability; neural generators; neural tissue; neuroprosthesis devices; recorded neural activities; spike sorting program; stereotypical behavioral patterns; Control systems; Electrodes; Implants; Microelectrodes; Neural engineering; Robots; Shafts; Sorting; Spinal cord injury; Stability; Brain–machine interface; cat cortex; chronic microelectrode implants; neuroprosthesis; stability; Action Potentials; Algorithms; Animals; Bayes Theorem; Cats; Cerebral Cortex; Cluster Analysis; Conditioning, Operant; Data Interpretation, Statistical; Electrodes, Implanted; Electrophysiology; Microelectrodes; Neurons;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2006.870495
  • Filename
    1605268