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Slepi/Code/Utilities/spm12/external/mne/fiff_pick_channels_evoked.m
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fiff_pick_channels_evoked.m
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function [res] = fiff_pick_channels_evoked(orig,include,exclude)
%
% [res] = fiff_pick_channels_evoked(orig,include,exclude)
%
% Pick desired channels from evoked-response data
%
% orig - The original data
% include - Channels to include (if empty, include all available)
% exclude - Channels to exclude (if empty, do not exclude any)
%
%
%
% Author : Matti Hamalainen, MGH Martinos Center
% License : BSD 3-clause
%
%
% Revision 1.9 2006/10/04 20:12:37 msh
% Added fiff_read_evoked_all
% Modified fiff_pick_channels_evoked to handle multiple data sets
% Added bad channel writing to fiff_write_evoked
%
% Revision 1.8 2006/06/29 22:12:28 msh
% Fixed errors in channel picking
%
% Revision 1.7 2006/04/26 00:14:24 msh
% Return empty structure from fiff_pick_channels evoked and fiff_pick_types_evoked if there is no match.
% Accuracy checking was incorrect in mne_add_coil_defs
%
% Revision 1.6 2006/04/23 15:29:40 msh
% Added MGH to the copyright
%
% Revision 1.5 2006/04/22 10:59:30 msh
% Added fiff_pick_info
%
% Revision 1.4 2006/04/20 23:33:20 msh
% Separated fiff_pick_channels and fiff_pick_types from the _evoked versions
%
% Revision 1.3 2006/04/18 20:44:46 msh
% Added reading of forward solution.
% Use length instead of size when appropriate
%
% Revision 1.2 2006/04/14 15:49:49 msh
% Improved the channel selection code and added ch_names to measurement info.
%
% Revision 1.1 2006/04/14 00:45:42 msh
% Added channel picking and fiff_invert_transform
%
%
me='MNE:fiff_pick_channels_evoked';
if nargin == 1
res = orig;
return;
elseif nargin == 2
exclude = [];
elseif nargin ~= 3
error(me,'Incorrect number of arguments');
end
if isempty(include) && isempty(exclude)
res = orig;
return;
end
sel = fiff_pick_channels(orig.info.ch_names,include,exclude);
if isempty(sel)
res = [];
fprintf(1,'Warning : No channels match the selection.\n');
return;
end
res = orig;
%
% Modify the measurement info
%
res.info = fiff_pick_info(res.info,sel);
%
% Create the reduced data set
%
for k = 1:length(res.evoked)
res.evoked(k).epochs = res.evoked(k).epochs(sel,:);
end
return;
end
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