• DocumentCode
    1093827
  • Title

    Stimulus-Artifact Elimination in a Multi-Electrode System

  • Author

    Brown, E.A. ; Ross, J.D. ; Blum, R.A. ; Yoonkey Nam ; Wheeler, B.C. ; DeWeerth, S.P.

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • Volume
    2
  • Issue
    1
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    10
  • Lastpage
    21
  • Abstract
    To fully exploit the recording capabilities provided by current and future generations of multi-electrode arrays, some means to eliminate the residual charge and subsequent artifacts generated by stimulation protocols is required. Custom electronics can be used to achieve such goals, and by making them scalable, a large number of electrodes can be accessed in an experiment. In this work, we present a system built around a custom 16-channel IC that can stimulate and record, within 3 ms of the stimulus, on the stimulating channel, and within 500 mus on adjacent channels. This effectiveness is achieved by directly discharging the electrode through a novel feedback scheme, and by shaping such feedback to optimize electrode behavior. We characterize the different features of the system that makes such performance possible and present biological data that show the system in operation. To enable this characterization, we present a framework for measuring, classifying, and understanding the multiple sources of stimulus artifacts. This framework facilitates comparisons between artifact elimination methodologies and enables future artifact studies.
  • Keywords
    bioelectric phenomena; biomedical electrodes; integrated circuit technology; microelectrodes; neurophysiology; 16-channel integrated circuits; electrophysiology; feedback scheme; multielectrode arrays; neural recording; neural stimulation; stimulus-artifact elimination; Access protocols; Biological tissues; Biomedical electrodes; Biomedical engineering; Biomedical measurements; Data mining; In vitro; Integrated circuit noise; Laboratories; Pacemakers; $mu$ NIS; Integrated circuits (IC); aVLSI; multi-electrode array (MEA); neural recording; neural stimulation; stimulation artifact;
  • fLanguage
    English
  • Journal_Title
    Biomedical Circuits and Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1932-4545
  • Type

    jour

  • DOI
    10.1109/TBCAS.2008.918285
  • Filename
    4464125