function [sens] = ft_read_sens(filename, varargin)

% FT_READ_SENS read sensor positions from various manufacturer specific files. See
% further down for the list of file types that are supported.
%
% Use as
%   elec = ft_read_sens(filename, 'senstype', 'eeg', ...)  % for EEG electrodes
%   grad = ft_read_sens(filename, 'senstype', 'meg', ...)  % for MEG gradiometers
%   opto = ft_read_sens(filename, 'senstype', 'nirs', ...) % for NIRS optodes
%
% 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', 'meg' or 'nirs', specifies which type of sensors to read from the file (default = 'eeg')
%   'coordsys'       = string, 'head' or 'dewar' (default = 'head')
%   'coilaccuracy'   = scalar, can be empty or a number (0, 1 or 2) to specify the accuracy (default = [])
%   'readbids'       = string, 'yes', no', or 'ifmakessense', whether to read information from the BIDS sidecar files (default = 'ifmakessense')
%
% The electrode, gradiometer and optode structures are defined in more detail
% in FT_DATATYPE_SENS.
%
% 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
%   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 localite_pos artinis_oxy3 artinis_oxy4 
%   artinis_oxy5 artinis_oxyproj yorkinstruments_hdf5 matlab
%
% See also FT_READ_HEADER, FT_DATATYPE_SENS, FT_PREPARE_VOL_SENS, FT_COMPUTE_LEADFIELD,

% Copyright (C) 2005-2022 Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org
% for the documentation and details.
%
%    FieldTrip is free software: you can redistribute it and/or modify
%    it under the terms of the GNU General Public License as published by
%    the Free Software Foundation, either version 3 of the License, or
%    (at your option) any later version.
%
%    FieldTrip is distributed in the hope that it will be useful,
%    but WITHOUT ANY WARRANTY; without even the implied warranty of
%    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
%    GNU General Public License for more details.
%
%    You should have received a copy of the GNU General Public License
%    along with FieldTrip. If not, see <http://www.gnu.org/licenses/>.
%
% $Id$

% optionally get the data from the URL and make a temporary local copy
filename = fetch_url(filename);

% get the options
fileformat     = ft_getopt(varargin, 'fileformat', ft_filetype(filename));
senstype       = ft_getopt(varargin, 'senstype');         % can be eeg/meg/nirs, default is automatic and eeg when both meg+eeg are present
coordsys       = ft_getopt(varargin, 'coordsys', 'head'); % this is used for ctf and neuromag_mne, it can be head or dewar
coilaccuracy   = ft_getopt(varargin, 'coilaccuracy');     % empty, or a number between 0 to 2
readbids       = ft_getopt(varargin, 'readbids', 'ifmakessense');

realtime = any(strcmp(fileformat, {'fcdc_buffer', 'ctf_shm', 'fcdc_mysql'}));

if realtime
  % skip the rest of the initial checks to increase the speed for realtime operation
else
  % test whether the file exists
  if ~exist(filename, 'file')
    ft_error('file ''%s'' does not exist', filename);
  end
end

% start with an empty electrode, gradiometer or optode definition
sens = [];

% deal with data that is organized according to BIDS
if strcmp(readbids, 'yes') || strcmp(readbids, 'ifmakessense')
  [p, f, x] = fileparts(filename);
  % check whether it a BIDS dataset
  isbids = startsWith(f, 'sub-');
  if isbids
    tsvfile = bids_sidecar(filename, 'electrodes');
    if ~isempty(tsvfile) && (isempty(senstype) || strcmp(senstype, 'eeg'))
      % read the electrodes.tsv file
      electrodes_tsv = ft_read_tsv(tsvfile);
      sens         = [];
      sens.label   = electrodes_tsv.name;
      sens.elecpos = [electrodes_tsv.x electrodes_tsv.y electrodes_tsv.z];
      
      % also read the electrodes.json file
      [p, f] = fileparts(tsvfile);
      jsonfile = fullfile(p, [f '.json']);
      if exist(jsonfile, 'file')
        electrodes_json = ft_read_json(jsonfile);
        ft_warning('the content of the electrodes.json is not used')
        % FIXME do something with the content
      end
      
      % also read the coordsystem.json file
      coordsysfile = bids_sidecar(filename, 'coordsystem');
      if exist(coordsysfile, 'file')
        coordsys_json = ft_read_json(coordsysfile);
        ft_warning('the content of the coordsystem.json is not used')
        % FIXME do something with the content
      end
    end
  end
end


switch fileformat
  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  % gradiometer information is always stored in the header of the MEG dataset
  % hence we use the standard fieldtrip/fileio ft_read_header function
  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  case {'ctf_ds', 'ctf_res4', 'ctf_old', 'neuromag_fif', 'neuromag_mne', '4d', '4d_pdf', '4d_m4d', '4d_xyz', 'yokogawa_ave', 'yokogawa_con', 'yokogawa_raw', 'ricoh_ave', 'ricoh_con', 'itab_raw' 'itab_mhd', 'netmeg'}
    hdr = ft_read_header(filename, 'headerformat', fileformat, 'coordsys', coordsys, 'coilaccuracy', coilaccuracy, 'readbids', readbids);
    % sometimes there can also be electrode position information in the header
    if isfield(hdr, 'elec') && isfield(hdr, 'grad')
      if isempty(senstype)
        % set the default
        ft_warning('both electrode and gradiometer information is present, returning the electrode information by default');
        senstype = 'eeg';
      end
      switch lower(senstype)
        case 'eeg'
          sens = hdr.elec;
        case 'meg'
          sens = hdr.grad;
        otherwise
          ft_error('incorrect specification of senstype');
      end
    elseif isfield(hdr, 'grad')
      sens = hdr.grad;
    elseif isfield(hdr, 'elec')
      sens = hdr.elec;
    else
      ft_error('there is no electrode nor gradiometer information present in the header');
    end
    
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    % optode information is mostly stored in the header of the NIRS dataset
    % hence we use the standard fieldtrip/fileio ft_read_header function
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  case {'homer_nirs', 'snirf', 'artinis_oxy3', 'artinis_oxy4', 'artinis_oxy5', 'artinis_oxyproj', 'nirx_wl1', 'nirx_wl2', 'nirx_tpl'}
    hdr = ft_read_header(filename, 'headerformat', fileformat, 'coordsys', coordsys, 'readbids', readbids);
    if isfield(hdr, 'opto')
      sens = hdr.opto;
    else
      ft_error('there is no optode information present in the header');
    end
    
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    % read the content from various files that contain EEG electrode positions
    %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
  case 'asa_elc'
    sens = read_asa_elc(filename);
   
  case 'polhemus_pos'
    sens = read_polhemus_pos(filename);
    
  case 'besa_elp'
    fid = fopen_or_error(filename);
    % these files seem to come in different formats with 3, 4 or 5 columns
    % see http://wiki.besa.de/index.php?title=Channel_Definition_File_Formats
    % read the first two lines to determine the number of columns
    columns1 = length(strsplit(strtrim(fgetl(fid))));
    columns2 = length(strsplit(strtrim(fgetl(fid))));
    fseek(fid, 0, 'bof');
    if columns1==1 && columns2>1
      % EEGLAB includes ELP files that start with a line with the number of electrodes 
      % skip the first line
      columns1 = columns2;
      fgetl(fid);
    end
    switch columns1
      case 3
        % 3-column: label, azimuth, elevation
        tmp = textscan(fid, '%s%f%f');
        type      = repmat({'EEG'}, size(tmp{1}));
        label     = tmp{1};
        theta     = tmp{2};
        phi       = tmp{3};
        radius    = repmat(85, size(tmp{1}));
      ft_warning('assuming a head radius of 85 mm');
      case 4
        % 4-column: type, label, azimuth, elevation
        tmp = textscan(fid, '%s%s%f%f');
        type      = tmp{1};
        label     = tmp{2};
        theta     = tmp{3};
        phi       = tmp{4};
        radius    = repmat(85, size(label));
      ft_warning('assuming a head radius of 85 mm');
      case 5
        % 5-column: type, label, azimuth, elevation, radius
        tmp = textscan(fid, '%s%s%f%f%f');
        type      = tmp{1};
        label     = tmp{2};
        theta     = tmp{3};
        phi       = tmp{4};
        radius    = tmp{5};
      otherwise
        ft_error('unsupported file format for .elp');
    end
    fclose(fid);

    radians = @(degree) degree*pi/180;
    x = radius .* cos(radians(phi))   .* sin(radians(theta));
    y = radius .* sin(radians(theta)) .* sin(radians(phi));
    z = radius .* cos(radians(theta));
    sel = strcmpi(type, 'EEG') | strcmpi(type, 'SCP') | strcmpi(type, 'REF');
    sens.elecpos = [x(sel) y(sel) z(sel)];
    sens.chanpos = [x(sel) y(sel) z(sel)];
    sens.label   = label(sel);
    sens.unit    = 'mm';
    sel = strcmpi(type, 'FID');
    if any(sel)
      sens.fid.pos    = [x(sel) y(sel) z(sel)];
      sens.fid.label  = label(sel);
    end
    
  case 'besa_pos'
    tmp = importdata(filename);
    if ~isnumeric(tmp)
      ft_error('unexpected file format for fileformat=besa_pos')
    end
    [nchan,nrow] = size(tmp);
    if nrow==3
      sens.pnt = tmp;
    elseif nrow==9
      pnt1 = tmp(:,1:3);  % bottom coil
      pnt2 = tmp(:,4:6);  % top coil
      ori  = tmp(:,7:9);  % orientation of bottom coil
      sens.pnt = [pnt1; pnt2];
      sens.ori = [ori; ori];
      sens.tra = [eye(nchan) -eye(nchan)];
    else
      ft_error('unexpected file format for fileformat=besa_pos')
    end
    [p, f, x] = fileparts(filename);
    elpfile = fullfile(p, [f '.elp']);
    elafile = fullfile(p, [f '.ela']);
    if exist(elpfile, 'file')
      ft_warning('reading channel labels from %s', elpfile);
      % read the channel names from the accompanying ELP file
      lbl = importdata(elpfile);
      sens.label = strrep(lbl.textdata(:,2) ,'''', '');
    elseif exist(elafile, 'file')
      ft_warning('reading channel labels from %s', elafile);
      % read the channel names from the accompanying ELA file
      lbl = importdata(elafile);
      lbl = strrep(lbl, 'MEG ', ''); % remove the channel type
      lbl = strrep(lbl, 'EEG ', ''); % remove the channel type
      sens.label = lbl;
    else
      % the file does not have channel labels in it
      ft_warning('creating fake channel names for besa_pos');
      for i=1:nchan
        sens.label{i} = sprintf('%03d', i);
      end
    end
    
  case 'besa_sfh'
    sfh = readBESAsfh(filename);
    sens.label   = sfh.SurfacePointsLabels(:);
    sens.elecpos = sfh.SurfacePointsCoordinates(:,1:3);
    sel = true(sfh.NrOfPoints, 1);
    for i=1:sfh.NrOfPoints
      tok = tokenize(sens.label{i}, '_');
      sens.label{i} = tok{2};
      sel(i) = ~strcmp(tok{1}, 'Fid');
    end
    sens.label   = sens.label(sel);
    sens.elecpos = sens.elecpos(sel,:);
    
  case 'besa_sfp'
    [lab, pos] = read_besa_sfp(filename);
    sens.label   = lab;
    sens.elecpos = pos;
    
  case 'bioimage_mgrid'
    sens = read_bioimage_mgrid(filename);
    
  case {'curry_dat', 'curry_cdt'}
    hdr = ft_read_header(filename);
    if ~isempty(hdr.orig.sensorpos)
      sens.elecpos = hdr.orig.sensorpos';
      sens.label   = hdr.label(1:size(sens.elecpos, 1));
    end
    
  case 'fcdc_buffer'
    % the online header should have a binary blob with the sensor information
    hdr = ft_read_header(filename, 'headerformat', fileformat);
    if isfield(hdr, 'orig') && isfield(hdr.orig, 'neuromag_header')
      hdr = decode_fif(hdr.orig.neuromag_header);
    end
    if isfield(hdr, 'orig') && isfield(hdr.orig, 'ctf_res4')
      hdr = decode_res4(hdr.orig.ctf_res4);
    end
    if isempty(senstype)
      % set the default
      ft_warning('both electrode and gradiometer information is present, returning the electrode information by default');
      senstype = 'eeg';
    end
    switch lower(senstype)
      case 'eeg'
        sens = hdr.elec;
      case 'meg'
        sens = hdr.grad;
      otherwise
        ft_error('incorrect specification of senstype');
    end
    
  case 'neuromag_mne_grad'
    % the file can contain both, force reading the gradiometer info
    % note that this functionality overlaps with senstype=eeg/meg
    hdr = ft_read_header(filename, 'headerformat', 'neuromag_mne', 'coordsys', coordsys, 'coilaccuracy', coilaccuracy);
    sens = hdr.grad;
    
  case 'neuromag_mne_elec'
    % the file can contain both, force reading the electrode info
    % note that this functionality overlaps with senstype=eeg/meg
    hdr = ft_read_header(filename, 'headerformat', 'neuromag_mne', 'coordsys', coordsys, 'coilaccuracy', coilaccuracy);
    sens = hdr.elec;
    
  case {'spmeeg_mat', 'eeglab_set'}
    % this is for EEG formats where electrode positions can be stored with the data
    hdr = ft_read_header(filename, 'coordsys', coordsys, 'coilaccuracy', coilaccuracy);
    if isfield(hdr, 'grad')
      sens = hdr.grad;
    elseif isfield(hdr, 'elec')
      sens = hdr.elec;
    else
      ft_error('no electrodes or gradiometers found in the file')
    end
    
  case 'polhemus_fil'
    % these are created at the FIL in London with a polhemus tracker
    [sens.fid.pnt, sens.pnt, sens.fid.label] = read_polhemus_fil(filename, 0);
    % the file does not have channel labels in it
    ft_warning('no channel names in polhemus file, using numbers instead');
    for i=1:size(sens.pnt, 1)
      sens.label{i} = sprintf('%03d', i);
    end
    
  case 'matlab'
    % MATLAB files can contain all sensor arrays
    matfile = filename;   % this solves a problem with the MATLAB compiler v3
    var = whos('-file', filename);
    sel = intersect({'elec', 'grad', 'opto', 'sens', 'elc'}, {var(:).name});
    if numel(sel)==1
      % read the specific variable
      sens = loadvar(matfile, sel{1});
    else
      % read whatever variable is in the file, this will error if the file contains multiple variables
      sens = loadvar(matfile);
    end
    if ft_datatype(sens, 'layout')
      ft_error('"%s" contains a 2D layout for plotting, not 3D electrode positions', filename);
    end
    
  case 'zebris_sfp'
    % these are created by a Zebris tracker, at CRC in Liege at least.
    [sens.fid.pnt, sens.chanpos, sens.fid.label, sens.label] = read_zebris(filename, 0);
    % convert to columns
    sens.label = sens.label(:);
    sens.fid.label = sens.fid.label(:);
    
  case '4d_el_ascii'
    fid = fopen_or_error(filename, 'rt');
    c = textscan(fid, '%s%s%f%f%f');
    l = c{:,1}; % label
    s = c{:,2}; % status, it can be 'Collected' or empty
    x = c{:,3};
    y = c{:,4};
    z = c{:,5};
    % shift the columns with one where the status is not specified
    sel = isnan(z);
    z(sel) = y(sel);
    y(sel) = x(sel);
    x(sel) = str2double(s(sel));
    s(sel) = {''};
    fclose(fid);
    if false
      % return all positions, including the ones that do not correspond to
      % electrodes per see, such as the fiducials and localizer coils
      sens          = [];
      sens.label    = l;
      sens.elecpos  = [x y z];
    else
      % split the electrodes and fiducials
      % this is consistent with zebris_sfp and with the output of ft_read_headshape
      sens            = [];
      sens.label      = l(~sel);
      sens.elecpos    = [x(~sel) y(~sel) z(~sel)];
      sens.fid.label  = l(sel);
      sens.fid.pnt    = [x(sel) y(sel) z(sel)];
    end
    
  case {'localite_pos', 'localite_ins'}
    if ~usejava('jvm') % Using xml2struct requires java
      fid = fopen_or_error(filename);
      
      % Read marker-file and store contents in cells of strings
      tmp = textscan(fid,'%s');
      
      fclose(fid);
      
      % Search for cells that contain coordinates
      selx = strncmp('data0',tmp{1},5);
      sely = strncmp('data1',tmp{1},5);
      selz = strncmp('data2',tmp{1},5);
      sellab = strncmp('description',tmp{1},5);
      
      % Extract cells that contain coordinates
      xtemp  = tmp{1}(selx);
      ytemp  = tmp{1}(sely);
      ztemp  = tmp{1}(selz);
      labtemp = tmp{1}(sellab);
      
      % Determine which channels are set. In localite channels that are not set
      % automatically receive coordinates [0, 0, 0] and should therefore
      % be discarded.
      settemp = tmp{1}(strncmp('set',tmp{1},3));
      selset = strncmp('set="f',settemp,6);
      
      % Remove channels that are not set
      xtemp(selset) = [];
      ytemp(selset) = [];
      ztemp(selset) = [];
      labtemp(selset) = [];
      
      % Convert cells that contain coordinates from string to double
      x = [];
      y = [];
      z = [];
      lbl = [];
      
      for i=1:numel(xtemp)
        x(i,1) = str2double(xtemp{i}(8:end-1));
        y(i,1) = str2double(ytemp{i}(8:end-1));
        z(i,1) = str2double(ztemp{i}(8:end-3));
        lbl{i,1} = labtemp{i}(14:end-1);
      end
      
      % Create and fill sens structure
      sens = [];
      sens.elecpos = [x y z];
      sens.chanpos = sens.elecpos;
      sens.label = lbl;
    else
      tmp = xml2struct(filename);
      
      sens = [];
      
      % Loop through structure obtained from xml-file and store
      % coordinate information into sens structure of channels that are
      % set.
      for i=1:numel(tmp)
        if strcmp(tmp(i).Marker.set, 'true')
          sens.elecpos(i,1) = str2double(tmp(i).Marker.ColVec3D.data0);
          sens.elecpos(i,2) = str2double(tmp(i).Marker.ColVec3D.data1);
          sens.elecpos(i,3) = str2double(tmp(i).Marker.ColVec3D.data2);
          sens.label{i} = tmp(i).Marker.description;
        end
      end
      
      sens.chanpos = sens.elecpos;
    end
    
  case 'easycap_txt'
    % Read the file and store all contents in cells of strings
    fid = fopen_or_error(filename);
    tmp = textscan(fid,'%s%s%s%s');
    fclose(fid);
    
    sens = [];
    if all(cellfun(@isempty, tmp{4}))
      % it contains theta and phi
      sens.label = tmp{1}(2:end);
      theta = cellfun(@str2double, tmp{2}(2:end));
      phi   = cellfun(@str2double, tmp{3}(2:end));
      radians = @(degree) degree*pi/180;
      ft_warning('assuming a head radius of 85 mm');
      x = 85 * cos(radians(phi))   .* sin(radians(theta));
      y = 85 * sin(radians(theta)) .* sin(radians(phi));
      z = 85 * cos(radians(theta));
      sens.unit = 'mm';
      sens.elecpos = [x y z];
      sens.chanpos = [x y z];
    else
      % it contains X, Y, Z
      sens.label = tmp{1}(2:end);
      x = cellfun(@str2double, tmp{2}(2:end));
      y = cellfun(@str2double, tmp{3}(2:end));
      z = cellfun(@str2double, tmp{4}(2:end));
      sens.elecpos = [x y z];
      sens.chanpos = [x y z];
    end
    
  case 'neuromag_iso'
    ft_hastoolbox('mne', 1);
    FIFF = fiff_define_constants();
    [fid, tree, dir] = fiff_open(filename);
    isotrak = fiff_dir_tree_find(tree, FIFF.FIFFB_ISOTRAK);
    sel = find([isotrak.dir.kind]==FIFF.FIFF_DIG_POINT);
    sens = [];
    sens.elecpos = nan(numel(sel),3);
    sens.chanpos = nan(numel(sel),3);
    coordsys     = nan(numel(sel),1);
    for i=sel
      tag = fiff_read_tag(fid,isotrak.dir(i).pos);
      sens.elecpos(i,:) = tag.data.r;
      sens.chanpos(i,:) = tag.data.r;
      coordsys(i)       = tag.data.coord_frame;
    end
    fclose(fid);
    
    if all(coordsys==FIFF.FIFFV_COORD_DEVICE)
      sens.coordsys = 'device';
    elseif all(coordsys==FIFF.FIFFV_COORD_ISOTRAK)
      sens.coordsys = 'isotrak';
    elseif all(coordsys==FIFF.FIFFV_COORD_HPI)
      sens.coordsys = 'hpi';
    elseif all(coordsys==FIFF.FIFFV_COORD_HEAD)
      sens.coordsys = 'head';
    else
      sens.coordsys = 'unknown';
    end
    
    ft_warning('creating fake channel names for neuromag_iso');
    for i=1:size(sens.chanpos,1)
      sens.label{i} = sprintf('%d', i);
    end
    
  case 'neuromag_cal'
    dat = cell(1,14);
    [dat{:}] = textread(filename, '%s%f%f%f%f%f%f%f%f%f%f%f%f%f');
    label = dat{1};
    x = dat{2};
    y = dat{3};
    z = dat{4};
    rot = cat(2, dat{5:13});
    cal = dat{14}; % ??
    % construct the sensor structucture
    % it seems that the channel positions are expressed in dewar cordinates
    % it would be possible to use coil_def.dat to construct the coil positions
    sens.label = label;
    sens.chanpos = [x y z];
    
  case '3dslicer_fscv'
    csvData = readtable(filename, 'FileType', 'text');
    sens.label = csvData.label;
    sens.elecpos = [csvData.x,csvData.y,csvData.z];
    
  case 'brainsight_txt'
    ws = warning('off', 'MATLAB:table:ModifiedAndSavedVarnames');
    txtData = readtable(filename, 'FileType', 'text', 'Delimiter', '\t', 'ReadVariableNames', true);
    warning(ws); % revert to the previous warning state
    sens.label   = txtData{:,1};
    sens.elecpos = [txtData.Loc_X txtData.Loc_Y txtData.Loc_Z];
    
  case 'yorkinstruments_hdf5'
    acquisition='default';
    if isempty(senstype)
      % set the default
      ft_warning('both electrode and gradiometer information is present, returning the electrode information by default');
      senstype = 'eeg';
    end
    hdr=ft_read_header(filename);
    %i will be the channel index, sens_i is the sensor index
    sens_i=0;
    for i=1:hdr.nChans
      if string(hdr.chantype{i})==upper(senstype)
        sens_i = sens_i+1;
        sens.chantype{sens_i,1} = hdr.chantype{i};
        try
          sens.chanpos(sens_i,1:3) =  h5read(filename,['/config/channels/' hdr.label{i} '/position']);
          sens.chanori(sens_i,1:3) =  h5read(filename,['/config/channels/' hdr.label{i} '/orientation']);
          sens.chanunit{sens_i,1}  =  hdr.chanunit{i};
          sens.coilori(sens_i,1:3) =  sens.chanori(sens_i,1:3);
          sens.coilpos(sens_i,1:3) =  sens.chanpos(sens_i,1:3);
          sens.label{sens_i,1}     =  hdr.label{i};
        catch
          error('Error reading channel %i sensor details.',i);
        end
      else
        continue
      end
    end
    if sens_i<1
      error('No data corresponding to the chosen sensor type (%s) found.',senstype);
    end
    sens.tra  = eye(sens_i);
    sens.type= 'yorkinstruments248';
    if isempty(coordsys)
      coordsys = 'dewar';
    end
    if strcmp(coordsys, 'head')
      try
        tCCStoMegscanScs = h5read(filename, [strcat('/acquisitions/', char(string(acquisition))) '/ccs_to_scs_transform']);
        T = maketform('affine', tCCStoMegscanScs);
        sens.coilpos = tformfwd(T, sens.chanpos(:,1), sens.chanpos(:,2), sens.coilpos(:,3));
        R = tCCStoMegscanScs(1:3,1:3); % (mm)
        sens.coilori =  sens.coilori * R;
        sens.chanpos=sens.coilpos;
        sens.chanori=sens.coilori;
      catch
        error('No dewar to head transform available in hdf5 file');
      end
    end
    
  otherwise
    if ~isempty(sens)
      % the electrode or optode information has been read from the BIDS sidecar file
    else
      ft_error('unknown fileformat for electrodes or gradiometers');
    end
    
end % switch fileformat

% ensure that the sensor description is up-to-date
% this will also add chantype and units to the sensor array if missing
sens = ft_datatype_sens(sens);

% ensure that the output is consistent with the type requested by the user
if strcmpi(senstype, 'meg')
  assert(isfield(sens,'coilpos'), 'cannot read gradiometer information from %s', filename);
elseif strcmpi(senstype, 'eeg')
  assert(isfield(sens,'elecpos'), 'cannot read electrode information from %s', filename);
elseif strcmpi(senstype, 'nirs')
  assert(isfield(sens,'optopos'), 'cannot read optode information from %s', filename);
else
  % it is empty if not specified by the user, in that case either one is fine
end
