Note that this reference documentation is identical to the help that is displayed in Matlab when you type “help ft_artifact_eog”.
FT_ARTIFACT_EOG reads the data segments of interest from file and identifies EOG artifacts. Use as [cfg, artifact] = ft_artifact_eog(cfg) with the configuration options cfg.dataset cfg.headerfile cfg.datafile Alternatively you can use it as [cfg, artifact] = ft_artifact_eog(cfg, data) In both cases the configuration should also contain cfg.trl = structure that defines the data segments of interest. See FT_DEFINETRIAL cfg.continuous = 'yes' or 'no' whether the file contains continuous data The data is preprocessed (again) with the following configuration parameters, which are optimal for identifying EOG artifacts. cfg.artfctdef.eog.bpfilter = 'yes' cfg.artfctdef.eog.bpfilttype = 'but' cfg.artfctdef.eog.bpfreq = [1 15] cfg.artfctdef.eog.bpfiltord = 4 cfg.artfctdef.eog.hilbert = 'yes' Artifacts are identified by means of thresholding the z-transformed value of the preprocessed data. cfg.artfctdef.eog.channel = Nx1 cell-array with selection of channels, see FT_CHANNELSELECTION for details cfg.artfctdef.eog.cutoff = z-value at which to threshold (default = 4) cfg.artfctdef.eog.trlpadding = 0.5 cfg.artfctdef.eog.fltpadding = 0.1 cfg.artfctdef.eog.artpadding = 0.1 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. See also FT_REJECTARTIFACT, FT_ARTIFACT_CLIP, FT_ARTIFACT_ECG, FT_ARTIFACT_EOG, FT_ARTIFACT_JUMP, FT_ARTIFACT_MUSCLE, FT_ARTIFACT_THRESHOLD, FT_ARTIFACT_ZVALUE