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

  FT_SPIKEDETECTION reads continuous data from disk and detects spikes. The
  function writes the unsorted spike waveforms to disk in another file.
 
  Use as
    cfg = ft_spikedetection(cfg)
 
  The configuration options can contain
    cfg.dataset             = string with the input dataset
    cfg.output              = string with the output dataset (default is determined automatic)
    cfg.dataformat          = string with the output dataset format, see FT_WRITE_FCDC_SPIKE
    cfg.method              = string with the method to use, can be 'all', 'zthresh', 'ztrig', 'flank'
    cfg.interactive         = 'yes' or 'no'
    cfg.timestampdefinition = 'orig' or 'sample'
 
  The default is to process the full dataset. You can select a latency range with
    cfg.latency          = [begin end], default is [0 inf]
  or you can specify multiple latency segments with
    cfg.latency          = [b1 e1; b2 e2; ...]
 
  Specific settings for the zthresh spike detection method are
    cfg.zthresh.neg      = negative threshold, e.g. -3
    cfg.zthresh.pos      = positive threshold, e.g.  3
    cfg.zthresh.offset   = number of samples before peak (default = 16)
    cfg.zthresh.mindist  = mininum distance in samples between  detected peaks
 
  Specific settings for the flank spike detection method are
    cfg.flank.value      = positive or negative threshold
    cfg.flank.offset     = number of samples before peak
    cfg.flank.ztransform = 'yes' or 'no'
    cfg.flank.mindist    = mininum distance in samples between  detected peaks
 
  Furthermore, the configuration can contain options for preprocessing
    cfg.preproc.lpfilter      = 'no' or 'yes'  lowpass filter
    cfg.preproc.hpfilter      = 'no' or 'yes'  highpass filter
    cfg.preproc.bpfilter      = 'no' or 'yes'  bandpass filter
    cfg.preproc.lnfilter      = 'no' or 'yes'  line noise removal using notch filter
    cfg.preproc.dftfilter     = 'no' or 'yes'  line noise removal using discrete fourier transform
    cfg.preproc.medianfilter  = 'no' or 'yes'  jump preserving median filter
    cfg.preproc.lpfreq        = lowpass  frequency in Hz
    cfg.preproc.hpfreq        = highpass frequency in Hz
    cfg.preproc.bpfreq        = bandpass frequency range, specified as [low high] in Hz
    cfg.preproc.lnfreq        = line noise frequency in Hz, default 50Hz
    cfg.preproc.lpfiltord     = lowpass  filter order
    cfg.preproc.hpfiltord     = highpass filter order
    cfg.preproc.bpfiltord     = bandpass filter order
    cfg.preproc.lnfiltord     = line noise notch filter order
    cfg.preproc.medianfiltord = length of median filter
    cfg.preproc.lpfilttype    = digital filter type, 'but' (default) or 'fir'
    cfg.preproc.hpfilttype    = digital filter type, 'but' (default) or 'fir'
    cfg.preproc.bpfilttype    = digital filter type, 'but' (default) or 'fir'
    cfg.preproc.lpfiltdir     = filter direction, 'twopass' (default) or 'onepass'
    cfg.preproc.hpfiltdir     = filter direction, 'twopass' (default) or 'onepass'
    cfg.preproc.bpfiltdir     = filter direction, 'twopass' (default) or 'onepass'
    cfg.preproc.detrend       = 'no' or 'yes'
    cfg.preproc.demean        = 'no' or 'yes'
    cfg.preproc.baselinewindow = [begin end] in seconds, the default is the complete trial
    cfg.preproc.hilbert       = 'no' or 'yes'
    cfg.preproc.rectify       = 'no' or 'yes'