FieldTrip

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

  FT_READ_SENS read sensor positions from various manufacturer
  specific files. The following acsuisition system and analysis
  platform EEG and MEG file formats are currently supported:
 
    asa_elc besa_elp besa_pos besa_sfp yokogawa_ave yokogawa_con
    yokogawa_raw 4d 4d_pdf 4d_m4d 4d_xyz ctf_ds ctf_res4 itab_raw
    itab_mhd netmeg neuromag_fif neuromag_mne neuromag_mne_elec
    neuromag_mne_grad polhemus_fil polhemus_pos zebris_sfp spmeeg_mat
    eeglab_set matlab
 
  Use as
    grad = ft_read_sens(filename, ...)  % for gradiometers
    elec = ft_read_sens(filename, ...)  % for electrodes
 
  Additional options should be specified in key-value pairs and can be
    'fileformat' = string, see the list of supported file formats (the
                   default is determined automatically)
 
  An electrode definition contain the following fields
    elec.elecpos = Nx3 matrix with carthesian (x,y,z) coordinates of each
                   electrode
    elec.label   = cell-array of length N with the label of each electrode
    elec.chanpos = Nx3 matrix with coordinates of each sensor
 
  A gradiometer definition generally consists of multiple coils per
  channel, e.g.two coils for a 1st order gradiometer in which the
  orientation of the coils is opposite. Each coil is described
  separately and a large "tra" matrix has to be given that defines
  how the forward computed field is combined over the coils to generate
  the output of each channel. The gradiometer definition constsis of
  the following fields
    grad.coilpos = Mx3 matrix with the position of each coil
    grad.coilori = Mx3 matrix with the orientation of each coil
    grad.tra     = NxM matrix with the weight of each coil into each channel
    grad.label   = cell-array of length N with the label of each of the channels
    grad.chanpos = Nx3 matrix with the positions of each sensor
 
  See also FT_TRANSFORM_SENS, FT_PREPARE_VOL_SENS, FT_COMPUTE_LEADFIELD,
  FT_DATATYPE_SENS