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% findboundaries() - Find boundaries (data discontinuities) in event
% structure of continuous EEG dataset
%
% Usage:
% >> boundaries = findboundaries(EEG.event);
%
% Inputs:
% EEG.event - EEGLAB EEG event structure
%
% Outputs:
% boundaries - scalar or vector of boundary event latencies
%
% Author: Andreas Widmann, University of Leipzig, 2005
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% Copyright (C) 2005 Andreas Widmann, University of Leipzig, widmann@uni-leipzig.de
%
% This program 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 2 of the License, or
% (at your option) any later version.
%
% This program 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 this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
function boundaries = findboundaries(event)
if isfield(event, 'type') & isfield(event, 'latency') & cellfun('isclass', {event.type}, 'char')
% Boundary event indices
boundaries = strmatch('boundary', {event.type});
% Boundary event latencies
boundaries = [event(boundaries).latency];
% Shift boundary events to epoch onset
boundaries = fix(boundaries + 0.5);
% Remove duplicate boundary events
boundaries = unique(boundaries);
% Epoch onset at first sample?
if isempty(boundaries) || boundaries(1) ~= 1
boundaries = [1 boundaries];
end
else
boundaries = 1;
end