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

  FT_REJECTARTIFACT removes data segments containing artifacts. It returns a
  configuration structure with a modified trial definition which can be used for
  preprocessing of only the clean data.
 
  You should start by detecting the artifacts in the data using the function
  FT_ARTIFACT_xxx where xxx is the type of artifact. Subsequently FT_REJECTARTIFACT
  looks at the detected artifacts and removes them from the trial definition or from
  the data. In case you wish to replace bad parts by nans, you have to specify data
  as an input parameter.
 
  Use as
    cfg = ft_rejectartifact(cfg)
  with the cfg as obtained from FT_DEFINETRIAL, or as
    data = ft_rejectartifact(cfg, data)
  with the data as obtained from FT_PREPROCESSING
 
  The following configuration options are supported:
    cfg.artfctdef.reject          = 'none', 'partial','nan', or 'complete' (default = 'complete')
    cfg.artfctdef.minaccepttim    = when using partial rejection, minimum length
                                    in seconds of remaining trial (default = 0.1)
    cfg.artfctdef.crittoilim      = when using complete rejection, reject trial only when artifacts occur within
                                    this time window (default = whole trial). This only works with in-memory data,
                                    since trial time axes are unknown for data on disk.
    cfg.artfctdef.feedback        = 'yes' or 'no' (default = 'no')
    cfg.artfctdef.invert          = 'yes' or 'no' (default = 'no')
    cfg.artfctdef.eog.artifact    = Nx2 matrix with artifact segments, this is added to the cfg by using FT_ARTIFACT_EOG
    cfg.artfctdef.jump.artifact   = Nx2 matrix with artifact segments, this is added to the cfg by using FT_ARTIFACT_JUMP
    cfg.artfctdef.muscle.artifact = Nx2 matrix with artifact segments, this is added to the cfg by using FT_ARTIFACT_MUSCLE
    cfg.artfctdef.zvalue.artifact = Nx2 matrix with artifact segments, this is added to the cfg by using FT_ARTIFACT_ZVALUE
    cfg.artfctdef.visual.artifact = Nx2 matrix with artifact segments, this is added to the cfg by using FT_DATABROWSER
    cfg.artfctdef.xxx.artifact    = Nx2 matrix with artifact segments, this could be added by your own artifact detection function
 
  A trial that contains an artifact can be rejected completely or partially. In case
  of partial rejection, a minimum length of the resulting sub-trials can be
  specified using minaccepttim.
 
  Output:
    If cfg is used as the only input parameter, the output is a cfg structure with an updated trl.
    If cfg and data are both input parameters, the output is an updated raw data structure with only the clean data segments.
 
  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.
 
  See also FT_ARTIFACT_EOG, FT_ARTIFACT_MUSCLE, FT_ARTIFACT_JUMP, FT_ARTIFACT_THRESHOLD,
  FT_ARTIFACT_CLIP, FT_ARTIFACT_ECG, FT_DATABROWSER, FT_REJECTVISUAL