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+=====  FT_READ_SENS =====
+Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_read_sens".
+<html><pre>
+  <a href=/reference/ft_read_sens><font color=green>FT_READ_SENS</font></a> read sensor positions from various manufacturer specific files. See
+  further down for the list of file types that are supported.
+  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)
+    'senstype'       = string, can be 'eeg' or 'meg', specifies which type of sensors to read from the file (default = 'eeg')
+    'coordsys'       = string, 'head' or 'dewar' (default = 'head')
+    'coilaccuracy'   = can be empty or a number (0, 1 or 2) to specify the accuracy (default = [])
+  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
+  Files from the following acquisition systems and analysis platforms file formats
+  are supported.
+    asa_elc besa_elp besa_pos besa_sfp yokogawa_ave yokogawa_con yokogawa_raw 4d
+d_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 localite_pos artiins_oxy3 matlab
+  See also <a href=/reference/ft_read_header><font color=green>FT_READ_HEADER</font></a>, <a href=/reference/ft_transform_sens><font color=green>FT_TRANSFORM_SENS</font></a>, <a href=/reference/ft_prepare_vol_sens><font color=green>FT_PREPARE_VOL_SENS</font></a>, <a href=/reference/ft_compute_leadfield><font color=green>FT_COMPUTE_LEADFIELD</font></a>,
+  <a href=/reference/ft_datatype_sens><font color=green>FT_DATATYPE_SENS</font></a>
+</pre></html>