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

  FT_ARTIFACT_CLIP scans the data segments of interest for channels that
  clip. A clipping artifact is detected by the signal being completely
  flat for some time.
  Use as
    [cfg, artifact] = ft_artifact_clip(cfg)
  with the configuration options
    cfg.dataset     = string with the filename
    cfg.headerfile  = string with the filename
    cfg.datafile    = string with the filename
  Alternatively you can use it as
    [cfg, artifact] = ft_artifact_clip(cfg, data)
  where the input data is a structure as obtained from FT_PREPROCESSING.
  In both cases the configuration should also contain       = Nx1 cell-array with selection of channels, see FT_CHANNELSELECTION for details
    cfg.artfctdef.clip.pretim        = 0.000;  pre-artifact rejection-interval in seconds
    cfg.artfctdef.clip.psttim        = 0.000;  post-artifact rejection-interval in seconds
    cfg.artfctdef.clip.timethreshold = number, minimum duration in seconds of a datasegment with consecutive identical samples to be considered as 'clipped'
    cfg.artfctdef.clip.amplthreshold = number, minimum amplitude difference in consecutive samples to be considered as 'clipped' (default = 0)
                                       string, percent of the amplitude range considered as 'clipped' (i.e. '1%')
    cfg.continuous                   = 'yes' or 'no' whether the file contains continuous data
  The output argument "artifact" is a Nx2 matrix comparable to the
  "trl" matrix of FT_DEFINETRIAL. The first column of which specifying the
  beginsamples of an artifact period, the second column contains the
  endsamples of the artifactperiods.
  To facilitate data-handling and distributed computing you can use
    cfg.inputfile   =  ...
  If you specify this option the input data will be read from a *.mat
  file on disk. This mat files should contain only a single variable named 'data',
  corresponding to the input structure.