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

  FT_REDEFINETRIAL allows you to adjust the time axis of your data, i.e. to
  change from stimulus-locked to response-locked. Furthermore, it allows
  you to select a time window of interest, or to resegment your long trials
  into shorter fragments.
  Use as
    data = ft_redefinetrial(cfg, data)
  where the input data should correspond to the output of FT_PREPROCESSING and
  the configuration should be specified as explained below. Note that some
  options are mutually exclusive, and require two calls to this function to
  avoid confucion about the order in which they are applied.
  For selecting a subset of trials you can specify
    cfg.trials    = 'all' or a selection given as a 1xN vector (default = 'all')
  For selecting trials with a minimum length you can specify
    cfg.minlength = length in seconds, can be 'maxperlen' (default = [])
  For realiging the time axes of all trials to a new reference time
  point (i.e. change the definition for t=0) you can use the following
  configuration option
    cfg.offset    = single number or Nx1 vector, expressed in samples relative to current t=0
  For selecting a specific subsection of (i.e. cut out a time window
  of interest) you can select a time window in seconds that is common
  in all trials
    cfg.toilim    = [tmin tmax] to specify a latency window in seconds
  Alternatively you can specify the begin and end sample in each trial
    cfg.begsample = single number or Nx1 vector, expressed in samples relative to the start of the input trial
    cfg.endsample = single number or Nx1 vector, expressed in samples relative to the start of the input trial
  Alternatively you can specify a new trial definition, expressed in
  samples relative to the original recording
    cfg.trl       = Nx3 matrix with the trial definition, see FT_DEFINETRIAL
  Alternatively you can specify the data to be cut into (non-)overlapping
  segments, starting from the beginning of each trial. This may lead to loss
  of data at the end of the trials
    cfg.length    = single number (in unit of time, typically seconds) of the required snippets
    cfg.overlap   = single number (between 0 and 1 (exclusive)) specifying the fraction of overlap between snippets (0 = no overlap)
  To facilitate data-handling and distributed computing you can use
    cfg.inputfile   =  ...
    cfg.outputfile  =  ...
  If you specify one of these (or both) the input data will be read from a *.mat
  file on disk and/or the output data will be written to a *.mat file. These mat
  files should contain only a single variable, corresponding with the
  input/output structure.