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ft_appendsens.m
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ft_appendsens.m
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function [sens] = ft_appendsens(cfg, varargin)
% FT_APPENDSENS concatenates multiple sensor definitions that have been processed
% separately.
%
% Use as
% combined = ft_appendsens(cfg, sens1, sens2, ...)
%
% A call to FT_APPENDSENS results in the label, pos and ori fields to be
% concatenated, and the tra matrix to be merged. Any duplicate electrodes
% will be removed. The labelold and chanposold fields are kept under the
% condition that they are identical across the inputs.
%
% See also FT_ELECTRODEPLACEMENT, FT_ELECTRODEREALIGN, FT_DATAYPE_SENS,
% FT_APPENDDATA, FT_APPENDTIMELOCK, FT_APPENDFREQ, FT_APPENDSOURCE
% Copyright (C) 2017-2018, Arjen Stolk
%
% 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/>.
%
% $Id$
% these are used by the ft_preamble/ft_postamble function and scripts
ft_revision = '$Id$';
ft_nargin = nargin;
ft_nargout = nargout;
% do the general setup of the function
ft_defaults
ft_preamble init
ft_preamble debug
ft_preamble loadvar varargin
ft_preamble provenance varargin
% the ft_abort variable is set to true or false in ft_preamble_init
if ft_abort
return
end
% check if the input data is valid for this function
% and ensure it is up to the latest standards
for i=1:length(varargin)
assert(ft_datatype(varargin{i}, 'sens'), 'incorrect input, should be a grad/elec/opto structure');
varargin{i} = ft_datatype_sens(varargin{i});
end
% do a basic check whether the senstype, units, and coordinate systems match
senstype = cell(1,length(varargin));
for i=1:length(varargin)
senstype{i} = ft_senstype(varargin{i});
end
typematch = all(strcmp(senstype{1}, senstype));
unitmatch = 1;
if isfield(varargin{1}, 'unit')
unit = cell(1,length(varargin));
for i=1:length(varargin)
unit{i} = varargin{i}.unit;
end
unitmatch = all(strcmp(unit{1}, unit));
end
coordsysmatch = 1;
if isfield(varargin{1}, 'coordsys')
coordsys = cell(1,length(varargin));
for i=1:length(varargin)
coordsys{i} = varargin{i}.coordsys;
end
coordsysmatch = all(strcmp(coordsys{1}, coordsys));
end
if ~typematch || ~unitmatch || ~coordsysmatch
ft_error('the senstype, units, or coordinate systems of the inputs do not match');
end
% keep these fields (when present) in the output
sens = keepfields(varargin{1}, {'type', 'unit', 'coordsys'});
% make inventory
haselecpos = 0;
hascoilpos = 0;
hascoilori = 0;
haschanori = 0;
hasoptopos = 0;
hastra = 0;
haslabelold = 0;
haschanposold = 0;
for i=1:length(varargin)
% the following fields should be present in any sens structure
if isfield(varargin{i}, 'label')
label{i} = varargin{i}.label(:); % ensure column orientation
end
if isfield(varargin{i}, 'chanpos')
chanpos{i} = varargin{i}.chanpos;
end
% some the following fields are likely present in a sens structure
if isfield(varargin{i}, 'elecpos') % EEG
elecpos{i} = varargin{i}.elecpos;
haselecpos = 1;
end
if isfield(varargin{i}, 'coilpos') % MEG
coilpos{i} = varargin{i}.coilpos;
hascoilpos = 1;
end
if isfield(varargin{i}, 'coilori') % MEG
coilori{i} = varargin{i}.coilori;
hascoilori = 1;
end
if isfield(varargin{i}, 'chanori') % MEG
chanori{i} = varargin{i}.chanori;
haschanori = 1;
end
if isfield(varargin{i}, 'optopos') % NIRS
optopos{i} = varargin{i}.optopos;
hasoptopos = 1;
end
if isfield(varargin{i}, 'tra') % tra
tra{i} = varargin{i}.tra;
hastra = 1;
end
% the following fields might be present in a sens structure
if isfield(varargin{i}, 'labelold')
labelold{i} = varargin{i}.labelold(:); % ensure column orientation
haslabelold = 1;
end
if isfield(varargin{i}, 'chanposold')
chanposold{i} = varargin{i}.chanposold;
haschanposold = 1;
end
end
% concatenate the main fields and remove duplicates
sens.label = cat(1,label{:});
[dum, labidx] = unique(sens.label, 'stable');
if ~isequal(numel(labidx), numel(sens.label))
fprintf('removing duplicate labels\n')
sens.label = sens.label(labidx);
end
sens.chanpos = cat(1,chanpos{:});
[dum, chanidx] = unique(sens.chanpos, 'rows', 'stable');
if ~isequal(numel(chanidx), size(sens.chanpos,1))
fprintf('removing duplicate channels\n')
sens.chanpos = sens.chanpos(chanidx,:);
if ~isequal(labidx, chanidx) % check for matching order
ft_error('inconsistent order or number of channel labels and positions')
end
end
if ~isequal(numel(sens.label), size(sens.chanpos,1)) % check for matching number
ft_error('inconsistent number of channel labels and positions')
end
if haschanori
sens.chanori = cat(1,chanori{:});
if ~isequal(numel(chanidx), size(sens.chanpos,1))
sens.chanori = sens.chanori(chanidx,:); % chanori should match chanpos
end
end
if hastra && ~any(cellfun(@isempty, tra))
sens.tra = [];
for t = 1:numel(tra)
trarow = [1:size(tra{t},1)]+size(sens.tra,1);
tracol = [1:size(tra{t},2)]+size(sens.tra,2);
sens.tra(trarow, tracol) = tra{t};
end
end
if haselecpos
sens.elecpos = cat(1,elecpos{:});
[dum, elecidx, elecidx2] = unique(sens.elecpos, 'rows', 'stable');
if ~isequal(numel(elecidx), size(sens.elecpos,1))
fprintf('removing duplicate electrodes\n')
sens.elecpos = sens.elecpos(elecidx,:);
end
if isfield(sens, 'tra')
% shape duplicates into a single column, if necessary
for idx = 1:numel(elecidx)
tmp(:, idx) = sum(sens.tra(chanidx, find(idx==elecidx2)),2); % find and take sum over duplicates
end
sens.tra = tmp;
% check for expected size and non-empty rows
if ~isequal(size(sens.tra,1), size(sens.chanpos,1)) || ~isequal(size(sens.tra,2), size(sens.elecpos,1)) ...
|| any(any(sens.tra,2)==0) % all channels need to be linked to their origins
fprintf('removing inconsistent tra matrix\n')
sens = rmfield(sens, 'tra');
end
end
end
if hasoptopos
sens.optopos = cat(1,optopos{:});
[dum, optoidx, optoidx2] = unique(sens.optopos, 'rows', 'stable');
if ~isequal(numel(optoidx), size(sens.optopos,1))
fprintf('removing duplicate optodes\n')
sens.optopos = sens.optopos(optoidx,:);
end
if isfield(sens, 'tra')
% shape duplicates into a single column, if necessary
for idx = 1:numel(optoidx)
tmp(:, idx) = sum(sens.tra(chanidx, find(idx==optoidx2)),2); % find and take sum over duplicates
end
sens.tra = tmp;
% check for expected size and non-empty rows
if ~isequal(size(sens.tra,1), size(sens.chanpos,1)) || ~isequal(size(sens.tra,2), size(sens.optopos,1)) ...
|| any(any(sens.tra,2)==0) % all channels need to be linked to their origins
fprintf('removing inconsistent tra matrix\n')
sens = rmfield(sens, 'tra');
end
end
end
if hascoilpos
sens.coilpos = cat(1,coilpos{:});
[dum, coilidx, coilidx2] = unique(sens.coilpos, 'rows', 'stable');
if ~isequal(numel(coilidx), size(sens.coilpos,1))
fprintf('removing duplicate coils\n')
sens.coilpos = sens.coilpos(coilidx,:);
end
if isfield(sens, 'tra')
% shape duplicates into a single column, if necessary
for idx = 1:numel(coilidx)
tmp(:, idx) = sum(sens.tra(chanidx, find(idx==coilidx2)),2); % find and take sum over duplicates
end
sens.tra = tmp;
% check for expected size and non-empty rows
if ~isequal(size(sens.tra,1), size(sens.chanpos,1)) || ~isequal(size(sens.tra,2), size(sens.coilpos,1)) ...
|| any(any(sens.tra,2)==0) % all channels need to be linked to their origins
fprintf('removing inconsistent tra matrix\n')
sens = rmfield(sens, 'tra');
end
end
end
if hascoilori
sens.coilori = cat(1,coilori{:});
if ~isequal(numel(coilidx), size(sens.coilori,1))
sens.coilori = sens.coilori(coilidx,:); % coilori should match coilpos
end
end
% keep the following fields only when identical across inputs
if haslabelold && all(isequal(labelold{1}, labelold{:})) % labeloldmatch
sens.labelold = labelold{1};
end
if haschanposold && all(isequal(chanposold{1}, chanposold{:})) % chanposoldmatch
sens.chanposold = chanposold{1};
end
% ensure up-to-date and consistent output sensor description
sens = ft_datatype_sens(sens);
% do the general cleanup and bookkeeping at the end of the function
ft_postamble debug
ft_postamble previous varargin
ft_postamble provenance sens
ft_postamble history sens
ft_postamble savevar sens