Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_realtime_classification”.

  FT_REALTIME_CLASSIFICATION is an example realtime application for online
  classification of the data. It should work both for EEG and MEG.
  Use as
  with the following configuration options    = cell-array, see FT_CHANNELSELECTION (default = 'all')
    cfg.trialfun   = string with the trial function
  The source of the data is configured as
    cfg.dataset       = string
  or alternatively to obtain more low-level control as
    cfg.datafile      = string
    cfg.headerfile    = string
    cfg.eventfile     = string
    cfg.dataformat    = string, default is determined automatic
    cfg.headerformat  = string, default is determined automatic
    cfg.eventformat   = string, default is determined automatic
  This function works with two-class data that is timelocked to a trigger.
  Data selection is based on events that should be present in the
  datastream or datafile. The user should specify a trial function that
  selects pieces of data to be classified, or pieces of data on which the
  classifier has to be trained.The trialfun should return segments in a
  trial definition (see FT_DEFINETRIAL). The 4th column of the trl matrix
  should contain the class label (number 1 or 2). The 5th colum of the trl
  matrix should contain a flag indicating whether it belongs to the test or
  to the training set (0 or 1 respectively).
  Example useage:
    cfg = [];
    cfg.dataset  = 'Subject01.ds';
    cfg.trialfun = 'trialfun_Subject01';
  To stop the realtime function, you have to press Ctrl-C