• DocumentCode
    557465
  • Title

    SPKtool: An open source toolbox for electrophysiological data processing

  • Author

    Liu, Xiao-qin ; Wu, Xing ; Liu, Chang

  • Author_Institution
    Fac. of Mech. & Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    2
  • fYear
    2011
  • fDate
    15-17 Oct. 2011
  • Firstpage
    854
  • Lastpage
    857
  • Abstract
    The Detection and analysis of neural spike activity is a prerequisite for studying many types of brain functions. In this paper, we introduce an open source toolbox built in MATLAB called SPKtool for spike analysis. SPKtool functions support common requirement for analysis of neural spikes, including spike detection, feature extraction, manual and semi-automatic clustering methods and graphical tools for spike train analysis. It is possible to perform the whole procedure of spike analysis with SPKtool. The toolbox provides a flexible batch processing mode, which can significantly accelerate the analysis when data set is large. Most functions are GUI independent, and can be import to other MATLAB based applications. This toolbox may also serve as a routine base for electrophysiological program developers.
  • Keywords
    electroencephalography; feature extraction; graphical user interfaces; mathematics computing; medical signal detection; medical signal processing; neurophysiology; pattern clustering; public domain software; GUI independent; MATLAB based applications; SPKtool; electrophysiological data processing; electrophysiological program developers; feature extraction; flexible batch processing mode; graphical tools; graphical user interface; neural spike activity; open source toolbox; semiautomatic clustering methods; spike detection; spike train analysis; Feature extraction; Histograms; MATLAB; Manuals; Neurons; Sorting; Action potential; Extracellular recording; Spike sorting; Spike train;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-9351-7
  • Type

    conf

  • DOI
    10.1109/BMEI.2011.6098451
  • Filename
    6098451