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ft_databrowser.m
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function [cfg] = ft_databrowser(cfg, data)
% FT_DATABROWSER can be used for visual inspection of data. Artifacts that were
% detected by artifact functions (see FT_ARTIFACT_xxx functions where xxx is the type
% of artifact) are marked. Additionally data pieces can be marked and unmarked as
% artifact by manual selection. The output cfg contains the updated specification of
% the artifacts.
%
% Use as
% [cfg] = ft_databrowser(cfg)
% [cfg] = ft_databrowser(cfg, data)
% If you only specify the configuration structure, it should contain the name of the
% dataset on your hard disk (see below). If you specify input data, it should be a
% data structure as obtained from FT_PREPROCESSING or from FT_COMPONENTANALYSIS.
%
% If you want to browse data that is on disk, you have to specify
% cfg.dataset = string with the filename
% Instead of specifying the dataset, you can also explicitely specify the name of the
% file containing the header information and the name of the file containing the
% data, using
% cfg.datafile = string with the filename
% cfg.headerfile = string with the filename
%
% The following configuration options are supported:
% cfg.ylim = vertical scaling, can be 'maxmin', 'maxabs' or [ymin ymax] (default = 'maxabs')
% cfg.zlim = color scaling to apply to component topographies, 'minmax', 'maxabs' (default = 'maxmin')
% cfg.blocksize = duration in seconds for cutting continuous data in segments
% cfg.trl = structure that defines the data segments of interest, only applicable for trial-based data
% cfg.continuous = 'yes' or 'no', whether the data should be interpreted as continuous or trial-based
% cfg.allowoverlap = 'yes' or 'no', whether data that is overlapping in multiple trials is allowed (default = 'no')
% cfg.channel = cell-array with channel labels, see FT_CHANNELSELECTION
% cfg.channelclamped = cell-array with channel labels, that when using the 'vertical' viewmode will always be shown at the bottom. This is useful for showing ECG/EOG channels along with the other channels
% cfg.compscale = string, 'global' or 'local', defines whether the colormap for the topographic scaling is applied per topography or on all visualized components (default = 'local')
% cfg.viewmode = string, 'vertical', 'butterfly', or 'component' for visualizing ICA/PCA topographies together with the timecourses (default = 'vertical')
% cfg.plotlabels = 'yes', 'no' or 'some', whether to plot channel labels in vertical viewmode. The option 'some' plots one label for every ten channels, which is useful if there are many channels (default = 'some')
% cfg.plotevents = 'no' or 'yes', whether to plot event markers (default = 'yes')
% cfg.ploteventlabels = 'type=value', 'colorvalue' (default = 'type=value')
% cfg.eventcolor = string with line colors or Nx3 color map, colors used for plotting the different types of events (default is automatic)
% cfg.artifactcolor = string with line colors or Nx3 color map, colors used for plotting the different types of artifacts (default is automatic)
% cfg.artfctdef.xxx.artifact = Nx2 matrix with artifact segments see FT_ARTIFACT_xxx functions
% cfg.selectfeature = string, name of feature to be selected/added (default = 'visual')
% cfg.selectmode = 'markartifact', 'markpeakevent', 'marktroughevent' (default = 'markartifact')
% cfg.colorgroups = 'sequential', 'allblack', 'labelcharN' (N = Nth character in label), 'chantype' or a vector with the length of the number of channels defining the groups (default = 'sequential')
% cfg.linecolor = string with line colors or Nx3 color map (default = customized lines map with 15 colors)
% cfg.linewidth = linewidth in points (default = 0.5)
% cfg.linestyle = linestyle/marker type, see options of the PLOT function (default = '-')
% cfg.verticalpadding = number or 'auto', padding to be added to top and bottom of plot to avoid channels largely dissappearing when viewmode = 'vertical'/'component' (default = 'auto'). The padding is expressed as a proportion of the total height added to the top and bottom. The setting 'auto' determines the padding depending on the number of channels that are being plotted.
% cfg.selfun = string, name of function that is evaluated using the right-click context menu. The selected data and cfg.selcfg are passed on to this function.
% cfg.selcfg = configuration options for function in cfg.selfun
% cfg.seldat = 'selected' or 'all', specifies whether only the currently selected or all channels will be passed to the selfun (default = 'selected')
% cfg.figure = 'yes' or 'no', whether to open a new figure. You can also specify a figure handle from FIGURE, GCF or SUBPLOT. (default = 'yes')
% cfg.visible = string, 'on' or 'off' whether figure will be visible (default = 'on')
% cfg.position = location and size of the figure, specified as [left bottom width height] (default is automatic)
% cfg.renderer = string, 'opengl', 'zbuffer', 'painters', see RENDERERINFO (default is automatic, try 'painters' when it crashes)
% cfg.colormap = string, or Nx3 matrix, see FT_COLORMAP
%
% The following options for the scaling of the EEG, EOG, ECG, EMG, MEG and NIRS channels
% is optional and can be used to bring the absolute numbers of the different
% channel types in the same range (e.g. fT and uV). The channel types are determined
% from the input data using FT_CHANNELSELECTION.
% cfg.eegscale = number, scaling to apply to the EEG channels prior to display
% cfg.eogscale = number, scaling to apply to the EOG channels prior to display
% cfg.ecgscale = number, scaling to apply to the ECG channels prior to display
% cfg.emgscale = number, scaling to apply to the EMG channels prior to display
% cfg.megscale = number, scaling to apply to the MEG channels prior to display
% cfg.gradscale = number, scaling to apply to the MEG gradiometer channels prior to display (in addition to the cfg.megscale factor)
% cfg.magscale = number, scaling to apply to the MEG magnetometer channels prior to display (in addition to the cfg.megscale factor)
% cfg.nirsscale = number, scaling to apply to the NIRS channels prior to display
% cfg.mychanscale = number, scaling to apply to the channels specified in cfg.mychan
% cfg.mychan = Nx1 cell-array with selection of channels
% cfg.chanscale = Nx1 vector with scaling factors, one per channel specified in cfg.channel
%
% You can specify preprocessing options that are to be applied to the data prior to
% display. Most options from FT_PREPROCESSING are supported. They should be specified
% in the sub-structure cfg.preproc like these examples
% cfg.preproc.lpfilter = 'no' or 'yes' lowpass filter (default = 'no')
% cfg.preproc.lpfreq = lowpass frequency in Hz
% cfg.preproc.demean = 'no' or 'yes', whether to apply baseline correction (default = 'no')
% cfg.preproc.detrend = 'no' or 'yes', remove linear trend from the data (done per trial) (default = 'no')
% cfg.preproc.baselinewindow = [begin end] in seconds, the default is the complete trial (default = 'all')
%
% In case of component viewmode, a layout is required. If no layout is specified, an
% attempt is made to construct one from the sensor definition that is present in the
% data or specified in the configuration.
% cfg.layout = filename of the layout, see FT_PREPARE_LAYOUT
% cfg.elec = structure with electrode positions or filename, see FT_READ_SENS
% cfg.grad = structure with gradiometer definition or filename, see FT_READ_SENS
% Additional plotting options for the component viewmode:
% cfg.gridscale = scalar, number of points along both directions for interpolation (default = 45 here)
% cfg.shading = string, 'none', 'flat', 'interp' (default = 'flat')
% cfg.interplimits = string, 'sensors' or 'mask' (default here = 'mask')
% cfg.interpolation = string, 'nearest', 'linear', 'natural', 'cubic' or 'v4' (default = 'v4')
% cfg.contournum = topoplot contour lines
%
% The default font size might be too small or too large, depending on the number of
% channels. You can use the following options to change the size of text inside the
% figure and along the axes.
% cfg.fontsize = number, fontsize inside the figure (default = 0.03)
% cfg.fontunits = string, can be 'normalized', 'points', 'pixels', 'inches' or 'centimeters' (default = 'normalized')
% cfg.axisfontsize = number, fontsize along the axes (default = 10)
% cfg.axisfontunits = string, can be 'normalized', 'points', 'pixels', 'inches' or 'centimeters' (default = 'points')
%
% When visually selection data, a right-click will bring up a context-menu containing
% functions to be executed on the selected data. You can use your own function using
% cfg.selfun and cfg.selcfg. You can use multiple functions by giving the names/cfgs
% as a cell-array.
%
% In butterfly and vertical mode, you can use the "identify" button to reveal the name of a
% channel. Please be aware that it searches only vertically. This means that it will
% return the channel with the amplitude closest to the point you have clicked at the
% specific time point. This might be counterintuitive at first.
%
% The "cfg.artfctdef" structure in the output cfg is comparable to the configuration
% used by the artifact detection functions like FT_ARTIFACT_ZVALUE and in
% FT_REJECTARTIFACT. It contains for each artifact type an Nx2 matrix in which the
% first column corresponds to the begin samples of an artifact period, the second
% column contains the end samples of the artifact periods.
%
% In case the databrowser crashes and you cannot close the window, use delete(gcf) to
% get rid of the figure.
%
% See also FT_PREPROCESSING, FT_REJECTARTIFACT, FT_ARTIFACT_EOG, FT_ARTIFACT_MUSCLE,
% FT_ARTIFACT_JUMP, FT_ARTIFACT_MANUAL, FT_ARTIFACT_THRESHOLD, FT_ARTIFACT_CLIP,
% FT_ARTIFACT_ECG, FT_COMPONENTANALYSIS
% Copyright (C) 2009-2022, Robert Oostenveld, Ingrid Nieuwenhuis
%
% 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 data
ft_preamble provenance data
% the ft_abort variable is set to true or false in ft_preamble_init
if ft_abort
return
end
% the data can be passed as input arguments or can be read from disk
hasdata = exist('data', 'var');
hascomp = hasdata && ft_datatype(data, 'comp'); % can be 'raw+comp' or 'timelock+comp'
% check if the input cfg is valid for this function
cfg = ft_checkconfig(cfg, 'forbidden', {'channels'}); % prevent accidental typos, see issue 1729
cfg = ft_checkconfig(cfg, 'unused', {'comps', 'inputfile', 'outputfile'});
cfg = ft_checkconfig(cfg, 'renamed', {'zscale', 'ylim'});
cfg = ft_checkconfig(cfg, 'renamedval', {'ylim', 'auto', 'maxabs'});
cfg = ft_checkconfig(cfg, 'renamedval', {'selectmode', 'mark', 'markartifact'});
cfg = ft_checkconfig(cfg, 'renamedval', {'ploteventlabels', 'colorvalue', 'value'});
cfg = ft_checkconfig(cfg, 'renamed', {'elecfile', 'elec'});
cfg = ft_checkconfig(cfg, 'renamed', {'gradfile', 'grad'});
cfg = ft_checkconfig(cfg, 'renamed', {'optofile', 'opto'});
cfg = ft_checkconfig(cfg, 'renamed', {'channelcolormap', 'linecolor'});
cfg = ft_checkconfig(cfg, 'renamed', {'anonimize', 'anonymize'}); % fix typo in previous version of the code
cfg = ft_checkconfig(cfg, 'renamed', {'anonymise', 'anonymize'}); % use North American and Oxford British spelling
cfg = ft_checkconfig(cfg, 'renamed', {'newfigure', 'figure'});
cfg = ft_checkconfig(cfg, 'deprecated', {'selectfeature'}); % please specify cfg.artfctdef.xxx and cfg.artfctdef.yyy for each feature
cfg = ft_checkconfig(cfg, 'renamedval', {'interplimits', 'electrodes' 'sensors'});
% ensure that the preproc specific options are located in the cfg.preproc substructure
cfg = ft_checkconfig(cfg, 'createsubcfg', {'preproc'});
% set the defaults
cfg.ylim = ft_getopt(cfg, 'ylim', 'maxabs');
cfg.zlim = ft_getopt(cfg, 'zlim', 'maxmin');
cfg.artfctdef = ft_getopt(cfg, 'artfctdef', struct);
cfg.selectmode = ft_getopt(cfg, 'selectmode', 'markartifact');
cfg.blocksize = ft_getopt(cfg, 'blocksize'); % now used for both continuous and non-continuous data, defaulting done below
cfg.preproc = ft_getopt(cfg, 'preproc'); % see preproc for options
cfg.selfun = ft_getopt(cfg, 'selfun'); % default functions are 'simpleFFT', 'multiplotER', 'topoplotER', 'topoplotVAR', 'movieplotER'
cfg.selcfg = ft_getopt(cfg, 'selcfg'); % defaulting done below, requires layouts/etc to be processed
cfg.seldat = ft_getopt(cfg, 'seldat', 'current');
cfg.colorgroups = ft_getopt(cfg, 'colorgroups', 'sequential');
cfg.linecolor = ft_getopt(cfg, 'linecolor', []); % the default is defined in lineattributes_common
cfg.linestyle = ft_getopt(cfg, 'linestyle', '-');
cfg.linewidth = ft_getopt(cfg, 'linewidth', 0.5);
cfg.eegscale = ft_getopt(cfg, 'eegscale');
cfg.eogscale = ft_getopt(cfg, 'eogscale');
cfg.ecgscale = ft_getopt(cfg, 'ecgscale');
cfg.emgscale = ft_getopt(cfg, 'emgscale');
cfg.megscale = ft_getopt(cfg, 'megscale');
cfg.magscale = ft_getopt(cfg, 'magscale');
cfg.gradscale = ft_getopt(cfg, 'gradscale');
cfg.chanscale = ft_getopt(cfg, 'chanscale');
cfg.mychanscale = ft_getopt(cfg, 'mychanscale');
cfg.mychan = ft_getopt(cfg, 'mychan');
cfg.layout = ft_getopt(cfg, 'layout');
cfg.colormap = ft_getopt(cfg, 'colormap', 'default');
cfg.plotlabels = ft_getopt(cfg, 'plotlabels', 'some');
cfg.event = ft_getopt(cfg, 'event'); % this only exists for backward compatibility and should not be documented
cfg.continuous = ft_getopt(cfg, 'continuous'); % the default is set further down in the code, conditional on the input data
cfg.precision = ft_getopt(cfg, 'precision', 'double');
cfg.compscale = ft_getopt(cfg, 'compscale', 'local');
cfg.renderer = ft_getopt(cfg, 'renderer');
cfg.fontsize = ft_getopt(cfg, 'fontsize', 12);
cfg.fontunits = ft_getopt(cfg, 'fontunits', 'points'); % inches, centimeters, normalized, points, pixels
cfg.editfontsize = ft_getopt(cfg, 'editfontsize', 12);
cfg.editfontunits = ft_getopt(cfg, 'editfontunits', 'points'); % inches, centimeters, normalized, points, pixels
cfg.axisfontsize = ft_getopt(cfg, 'axisfontsize', 10);
cfg.axisfontunits = ft_getopt(cfg, 'axisfontunits', 'points'); % inches, centimeters, normalized, points, pixels
cfg.verticalpadding = ft_getopt(cfg, 'verticalpadding', 'auto');
cfg.allowoverlap = ft_getopt(cfg, 'allowoverlap', 'no'); % for ft_fetch_data
cfg.contournum = ft_getopt(cfg, 'contournum', 0); % topoplot contour lines
cfg.trl = ft_getopt(cfg, 'trl');
cfg.gridscale = ft_getopt(cfg, 'gridscale', 45);
cfg.shading = ft_getopt(cfg, 'shading', 'flat');
cfg.interplimits = ft_getopt(cfg, 'interplimits', 'mask');
cfg.interpolation = ft_getopt(cfg, 'interpmethod', 'v4');
cfg.channelclamped = ft_getopt(cfg, 'channelclamped');
% set the defaults for plotting the events
cfg.plotevents = ft_getopt(cfg, 'plotevents', 'yes');
cfg.ploteventlabels = ft_getopt(cfg, 'ploteventlabels', 'type=value');
cfg.eventalpha = ft_getopt(cfg, 'eventalpha', 0.2); % for the opacity of events
cfg.eventcolor = ft_getopt(cfg, 'eventcolor', 'krbgmcy');
% set the defaults for plotting the artifacts
cfg.plotartifacts = ft_getopt(cfg, 'plotartifacts', 'yes');
cfg.plotartifactlabels = ft_getopt(cfg, 'plotartifactlabels', '');
cfg.artifactalpha = ft_getopt(cfg, 'artifactalpha', 0.2); % for the opacity of artifacts
cfg.artifactcolor = ft_getopt(cfg, 'artifactcolor', [0.9686 0.7608 0.7686; 0.7529 0.7098 0.9647; 0.7373 0.9725 0.6824; 0.8118 0.8118 0.8118; 0.9725 0.6745 0.4784; 0.9765 0.9176 0.5686; 0.6863 1 1; 1 0.6863 1; 0 1 0.6000]);
% add some defaults for preprocessing, none of these is active but they will show up with the cfg.preproc button in the user interface
cfg.preproc.demean = ft_getopt(cfg.preproc, 'demean', 'no');
cfg.preproc.lpfilter = ft_getopt(cfg.preproc, 'lpfilter', 'no');
cfg.preproc.lpfreq = ft_getopt(cfg.preproc, 'lpfreq', 30);
cfg.preproc.hpfilter = ft_getopt(cfg.preproc, 'hpfilter', 'no');
cfg.preproc.hpfreq = ft_getopt(cfg.preproc, 'hpfreq', 0.5);
% construct the low-level options as key-value pairs, these are passed to FT_READ_HEADER
headeropt = {};
headeropt = ft_setopt(headeropt, 'headerformat', ft_getopt(cfg, 'headerformat')); % is passed to low-level function, empty implies autodetection
headeropt = ft_setopt(headeropt, 'readbids', ft_getopt(cfg, 'readbids')); % is passed to low-level function
headeropt = ft_setopt(headeropt, 'coordsys', ft_getopt(cfg, 'coordsys', 'head')); % is passed to low-level function
headeropt = ft_setopt(headeropt, 'coilaccuracy', ft_getopt(cfg, 'coilaccuracy')); % is passed to low-level function
headeropt = ft_setopt(headeropt, 'checkmaxfilter', ft_getopt(cfg, 'checkmaxfilter')); % this allows to read non-maxfiltered neuromag data recorded with internal active shielding
headeropt = ft_setopt(headeropt, 'chantype', ft_getopt(cfg, 'chantype', {})); % 2017.10.10 AB required for NeuroOmega files
% construct the low-level options as key-value pairs, these are passed to FT_READ_EVENT
eventopt = {};
eventopt = ft_setopt(eventopt, 'eventformat', ft_getopt(cfg, 'eventformat')); % is passed to low-level function, empty implies autodetection
eventopt = ft_setopt(eventopt, 'readbids', ft_getopt(cfg, 'readbids')); % is passed to low-level function
if isempty(ft_getopt(cfg, 'viewmode'))
% can be 'butterfly', 'vertical', or 'component'
if hascomp
cfg.viewmode = 'component';
else
cfg.viewmode = 'vertical';
end
end
if isempty(ft_getopt(cfg, 'colorgroups'))
% can be 'sequential', 'allblack', 'labelcharN', 'chantype', or a vector with the length of the number of channels defining the groups
if hascomp
cfg.colorgroups = 'allblack';
else
cfg.colorgroups = 'sequential';
end
end
if ~isempty(cfg.chanscale)
if ~isfield(cfg, 'channel')
ft_warning('ignoring cfg.chanscale; this should only be used when an explicit channel selection is being made');
cfg.chanscale = [];
elseif numel(cfg.channel) ~= numel(cfg.chanscale)
ft_error('cfg.chanscale should have the same number of elements as cfg.channel');
end
% make sure chanscale is a column vector, not a row vector
cfg.chanscale = cfg.chanscale(:);
end
if ~isempty(cfg.mychanscale) && ~isfield(cfg, 'mychan')
ft_warning('ignoring cfg.mychanscale; no channels specified in cfg.mychan');
cfg.mychanscale = [];
end
if isempty(ft_getopt(cfg, 'channel'))
if hascomp
if size(data.topo,2)>9
cfg.channel = 1:10;
else
cfg.channel = 1:size(data.topo,2);
end
else
cfg.channel = 'all';
end
end
if strcmp(cfg.viewmode, 'component')
% read or create the topographic layout that will be used for the topoplots
tmpcfg = keepfields(cfg, {'layout', 'rows', 'columns', 'commentpos', 'skipcomnt', 'scalepos', 'skipscale', 'projection', 'viewpoint', 'rotate', 'width', 'height', 'elec', 'grad', 'opto', 'showcallinfo', 'trackcallinfo', 'trackusage', 'trackdatainfo', 'trackmeminfo', 'tracktimeinfo', 'checksize'});
if hasdata
% select those channels from the layout that are relevant for the
% decomposition that is being plotted
tmpcfg.channel = data.topolabel;
cfg.layout = ft_prepare_layout(tmpcfg, data);
else
cfg.layout = ft_prepare_layout(tmpcfg);
end
end
if isempty(fieldnames(cfg.artfctdef)) % note that isempty(struct()) returns false
% by default allow the user to specify visual artifacts
cfg.artfctdef.visual.artifact = zeros(0,2);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% set the defaults and do some preparation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if hasdata
% save whether data came from a timelock structure
istimelock = strcmp(ft_datatype(data), 'timelock');
if ~isempty(cfg.trl)
% reduce the input data to the requested trial segments
tmpcfg = keepfields(cfg, {'trl'});
data = ft_redefinetrial(tmpcfg, data);
[cfg, data] = rollback_provenance(cfg, data);
end
% check if the input data is valid for this function
data = ft_checkdata(data, 'datatype', {'raw+comp', 'raw'}, 'feedback', 'yes', 'hassampleinfo', 'yes');
% fetch the header from the data structure in memory
hdr = ft_fetch_header(data);
if isfield(data, 'cfg') && ~isempty(ft_findcfg(data.cfg, 'origfs'))
% don't use the events in case the data has been resampled
ft_warning('the data has been resampled, not showing the events');
event = [];
elseif istimelock
% don't use the events in case the data has been averaged
ft_warning('the data has been averaged, not showing the events');
event = [];
elseif ~isempty(cfg.event)
% use the events that the user passed in the configuration
event = cfg.event;
else
% fetch the events from the data structure in memory
event = ft_fetch_event(data);
end
cfg.channel = ft_channelselection(cfg.channel, hdr.label);
chansel = match_str(data.label, cfg.channel);
Nchans = length(chansel);
if isempty(cfg.continuous)
if numel(data.trial) == 1 && ~istimelock
cfg.continuous = 'yes';
else
cfg.continuous = 'no';
end
else
if strcmp(cfg.continuous, 'yes') && (numel(data.trial) > 1)
ft_warning('interpreting trial-based data as continuous, the time axis now corresponds to the continuous data with the first sample being t=0')
end
end
% this is how the input data is segmented
trlorg = sampleinfo2trl(data);
else
% check if the input cfg is valid for this function
cfg = ft_checkconfig(cfg, 'dataset2files', 'yes');
cfg = ft_checkconfig(cfg, 'required', {'headerfile', 'datafile'});
cfg = ft_checkconfig(cfg, 'renamed', {'datatype', 'continuous'});
cfg = ft_checkconfig(cfg, 'renamedval', {'continuous', 'continuous', 'yes'});
% read the header from file
hdr = ft_read_header(cfg.headerfile, headeropt{:});
if isempty(cfg.continuous)
if hdr.nTrials==1
cfg.continuous = 'yes';
else
cfg.continuous = 'no';
end
end
if ~isempty(cfg.event)
% use the events that the user passed in the configuration
event = cfg.event;
else
% read the events from file
event = ft_read_event(cfg.dataset, eventopt{:});
end
cfg.channel = ft_channelselection(cfg.channel, hdr.label);
chansel = match_str(hdr.label, cfg.channel);
Nchans = length(chansel);
if ~isfield(cfg, 'trl') || isempty(cfg.trl)
% treat the data as continuous if possible, otherwise define all trials as indicated in the header
if strcmp(cfg.continuous, 'yes')
trlorg = zeros(1, 3);
trlorg(1,1) = 1;
trlorg(1,2) = hdr.nSamples*hdr.nTrials;
trlorg(1,3) = -hdr.nSamplesPre;
else
trlorg = zeros(hdr.nTrials, 3);
for i=1:hdr.nTrials
trlorg(i,1) = (i-1)*hdr.nSamples + 1;
trlorg(i,2) = (i )*hdr.nSamples ;
trlorg(i,3) = -hdr.nSamplesPre;
end
end
elseif ischar(cfg.trl)
% load the trial information from file
trlorg = loadvar(cfg.trl, 'trl');
else
trlorg = cfg.trl;
end
end % if hasdata
% the code below expects an Nx3 matrix with begsample, endsample and offset
if istable(trlorg)
trlorg = table2array(trlorg(:,1:3));
else
trlorg = trlorg(:,1:3);
end
Ntrials = size(trlorg, 1);
if strcmp(cfg.continuous, 'no') && isempty(cfg.blocksize)
cfg.blocksize = (trlorg(1,2) - trlorg(1,1)+1) ./ hdr.Fs;
elseif strcmp(cfg.continuous, 'yes') && isempty(cfg.blocksize)
cfg.blocksize = 1;
end
if cfg.blocksize<round(10*1/hdr.Fs)
ft_warning('the blocksize is very small given the samping rate, increasing blocksize to 10 samples');
cfg.blocksize = round(10*1/hdr.Fs);
end
% FIXME make a check for the consistency of cfg.continuous, cfg.blocksize, cfg.trl and the data header
if Nchans == 0
ft_error('no channels to display');
end
if Ntrials == 0
ft_error('no trials to display');
end
% determine the vertical scaling
if ischar(cfg.ylim)
if hasdata
sel = 1;
while all(isnan(reshape(data.trial{sel}(chansel,:),[],1)))
sel = sel+1;
end
% the first trial is used to determine the vertical scaling
dat = data.trial{sel}(chansel,:);
else
% read one second (or one block) of data to determine the vertical scaling
begsample = 1;
endsample = min(round(hdr.Fs), hdr.nSamples);
dat = ft_read_data(cfg.datafile, 'header', hdr, 'begsample', begsample, 'endsample', endsample, 'chanindx', chansel, 'checkboundary', strcmp(cfg.continuous, 'no'), 'dataformat', cfg.dataformat, headeropt{:});
end % if hasdata
% convert the data to another numeric precision, i.e. double, single or int32
if ~isempty(cfg.precision)
dat = cast(dat, cfg.precision);
end
minval = min(dat(:));
maxval = max(dat(:));
switch cfg.ylim
case 'maxabs'
maxabs = max(abs([minval maxval]));
scalefac = 10^(fix(log10(maxabs)));
if scalefac==0
% this happens if the data is all zeros
scalefac=1;
end
maxabs = (round(maxabs / scalefac * 100) / 100) * scalefac;
cfg.ylim = [-maxabs maxabs];
case 'maxmin'
if minval==maxval
% this happens if the data is constant, e.g. all zero or clipping
minval = minval - eps;
maxval = maxval + eps;
end
cfg.ylim = [minval maxval];
otherwise
ft_error('unsupported value for cfg.ylim');
end % switch ylim
if strcmp(cfg.viewmode, 'vertical') || strcmp(cfg.viewmode, 'component')
% it is OK to have some overlap between the traces in vertical and component viewmodes
% but butterfly plots should stay within the min/max boundaries
scale_adjust = 5;
cfg.ylim = cfg.ylim/scale_adjust;
end
else
if (numel(cfg.ylim) ~= 2) || ~isnumeric(cfg.ylim)
ft_error('cfg.ylim needs to be a 1x2 vector [ymin ymax], describing the upper and lower limits')
end
end
% determine the coloring of channels
if hasdata
linecolor = lineattributes_common(cfg, data);
else
linecolor = lineattributes_common(cfg, hdr);
end
% collect the artifacts from cfg.artfctdef.xxx.artifact
artlabel = fieldnames(cfg.artfctdef);
sel = zeros(size(artlabel));
artifact = cell(size(artlabel));
for i=1:length(artlabel)
sel(i) = isfield(cfg.artfctdef.(artlabel{i}), 'artifact');
if sel(i)
artifact{i} = cfg.artfctdef.(artlabel{i}).artifact;
ft_info('detected %3d %s artifacts\n', size(artifact{i}, 1), artlabel{i});
end
end
% continue with the subset of artfctdef fields that actually contain artifacts
artifact = artifact(sel==1);
artlabel = artlabel(sel==1);
% make artdata representing all artifacts in a "raw data" format
endsample = max(trlorg(:,2));
artdata = [];
artdata.trial{1} = artifact2boolvec(artifact, 'endsample', endsample); % every artifact is a "channel"
artdata.time{1} = offset2time(0, hdr.Fs, endsample);
artdata.label = artlabel;
artdata.fsample = hdr.Fs;
artdata.cfg.trl = [1 endsample 0];
% determine the unique artifact types and corresponding colors, this only needs to be done once
artifacttypes = artlabel;
artifactcolors = colorcheck(cfg.artifactcolor, numel(artdata.label));
% determine the unique event types and corresponding colors, this only needs to be done once
if ~isempty(event) && isstruct(event)
eventtypes = unique({event.type});
eventcolors = colorcheck(cfg.eventcolor, numel(eventtypes));
% durations and offsets can be either empty or should be numeric values, see FT_READ_EVENT
% the code further down expects them to be numeric values, so change them to zero
for i=1:numel(event)
if isempty(event(i).duration)
event(i).duration = 0;
end
if isempty(event(i).offset)
event(i).offset = 0;
end
end
else
eventtypes = {};
eventcolors = '';
end
ft_info('the different artifact types correspond to the following colors:');
tmp = pad(artifacttypes); % pad the artifacttypes to the same width
for i=1:length(artifacttypes)
ft_info(' %s = %s\n', tmp{i}, htmlcolors(artifactcolors(i,:)));
end
clear tmp
ft_info('the different event types correspond to the following colors:');
tmp = pad(eventtypes); % pad the eventtypes to the same width
for i=1:length(eventtypes)
ft_info(' %s = %s\n', tmp{i}, htmlcolors(eventcolors(i,:)));
end
clear tmp
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% set up default functions to be available in the right-click menu
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% cfg.selfun - labels that are presented in rightclick menu, and is appended using ft_getuserfun(..., 'browse') later on to create a function handle
% cfg.selcfg - cfgs for functions to be executed
if ~isempty(cfg.selfun) || ~isempty(cfg.selcfg)
if ischar(cfg.selfun)
cfg.selfun = {cfg.selfun};
end
if isstruct(cfg.selcfg)
cfg.selcfg = {cfg.selcfg};
end
elseif isempty(cfg.selfun) && isempty(cfg.selcfg)
% simplefft
cfg.selcfg{1} = [];
cfg.selcfg{1}.linecolor = linecolor;
cfg.selfun{1} = 'simpleFFT';
% multiplotER
cfg.selcfg{2} = [];
cfg.selcfg{2}.linecolor = linecolor;
cfg.selcfg{2}.layout = cfg.layout;
cfg.selcfg{2}.colorgroups = 'sequential';
cfg.selfun{2} = 'multiplotER';
% topoplotER
cfg.selcfg{3} = [];
cfg.selcfg{3}.linecolor = linecolor;
cfg.selcfg{3}.layout = cfg.layout;
cfg.selcfg{3}.colormap = cfg.colormap;
cfg.selfun{3} = 'topoplotER';
% topoplotVAR
cfg.selcfg{4} = [];
cfg.selcfg{4}.layout = cfg.layout;
cfg.selcfg{4}.colormap = cfg.colormap;
cfg.selfun{4} = 'topoplotVAR';
% movieplotER
cfg.selcfg{5} = [];
cfg.selcfg{5}.layout = cfg.layout;
cfg.selcfg{5}.interactive = 'yes';
cfg.selfun{5} = 'movieplotER';
% audiovideo
cfg.selcfg{6} = [];
cfg.selcfg{6}.audiofile = ft_getopt(cfg, 'audiofile');
cfg.selcfg{6}.videofile = ft_getopt(cfg, 'videofile');
cfg.selcfg{6}.anonymize = ft_getopt(cfg, 'anonymize');
cfg.selfun{6} = 'audiovideo';
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% set up the data structures
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% the structure "opt" represents the global data+settings, it should contain
% - the original data, epoched or continuous
% - the artifacts represented as continuous data
% - the redraw_cb settings
% - the preproc settings
% - the select_range_cb settings (also used in keypress_cb)
% these elements are stored inside the figure, so that the callback routines can modify them
opt = [];
if hasdata
opt.orgdata = data;
else
opt.orgdata = []; % this means that it will read from cfg.dataset
opt.headeropt = headeropt; % these are passed to FT_READ_HEADER and FT_READ_DATA
end
if strcmp(cfg.continuous, 'yes')
opt.trialviewtype = 'segment';
else
opt.trialviewtype = 'trial';
end
opt.hdr = hdr;
opt.trlop = 1; % the active trial being displayed
opt.artsel = 1; % the currently selected artifact/feature
opt.trlorg = trlorg;
opt.fsample = hdr.Fs;
opt.linecolor = linecolor;
opt.changedchanflg = true; % trigger for redrawing channel labels and preparing layout again (see bug 2065 and 2878)
opt.cleanup = false; % this is needed for a corrent handling if the figure is closed (either in the corner or by "q")
opt.chanindx = []; % this is used to check whether the component topographies need to be redrawn
opt.artdata = artdata;
opt.artifacttypes = artifacttypes;
opt.artifactcolors = artifactcolors;
opt.event = event;
opt.eventtypes = eventtypes;
opt.eventcolors = eventcolors;
opt.nanpaddata = []; % this is used to allow horizontal scaling to be constant (when looking at last segment continuous data, or when looking at segmented/zoomed-out non-continuous data)
opt.trllock = []; % this is used when zooming into trial based data
% save original layout when viewmode = component
if strcmp(cfg.viewmode, 'component')
opt.layouttopo = cfg.layout;
end
% open a new figure with the specified settings
h = open_figure(keepfields(cfg, {'figure', 'position', 'visible', 'renderer'}));
% check if the colormap is in proper format and set it
if ~isempty(cfg.colormap)
if ischar(cfg.colormap)
cfg.colormap = ft_colormap(cfg.colormap);
elseif iscell(cfg.colormap)
cfg.colormap = ft_colormap(cfg.colormap{:});
elseif isnumeric(cfg.colormap) && size(cfg.colormap,2)~=3
ft_error('cfg.colormap must be Nx3');
end
set(h, 'colormap', cfg.colormap);
end
% put appdata in figure
setappdata(h, 'opt', opt);
setappdata(h, 'cfg', cfg);
% set interruptible to off, see bug 3123
set(h, 'Interruptible', 'off', 'BusyAction', 'queue'); % enforce busyaction to queue to be sure
% enable custom data cursor text
dcm = datacursormode(h);
set(dcm, 'updatefcn', @cb_datacursortext);
% set the figure window title
funcname = mfilename();
if ~hasdata
if isfield(cfg, 'dataset')
dataname = cfg.dataset;
elseif isfield(cfg, 'datafile')
dataname = cfg.datafile;
else
dataname = [];
end
elseif isfield(cfg, 'inputfile') && ~isempty(cfg.inputfile)
dataname = cfg.inputfile;
else
dataname = inputname(2);
end
set(gcf, 'Name', sprintf('%d: %s: %s', double(gcf), funcname, join_str(', ',dataname)));
set(gcf, 'NumberTitle', 'off');
% set zoom option to on
% zoom(h, 'on')
% set(zoom(h), 'actionPostCallback', @zoom_drawlabels_cb)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% add the graphical user interface elements and callbacks
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% these will be set using enable_callbacks after each redraw
set(h, 'KeyPressFcn', []);
set(h, 'WindowButtonDownFcn', []);
set(h, 'WindowButtonUpFcn', []);
set(h, 'WindowButtonMotionFcn', []);
if ~isempty(findobj(h, 'tag', 'navigateui'))
% assume that the graphical user interface elements are already present
% this speeds up plotting in cases like this https://www.fieldtriptoolbox.org/example/video_eeg/
else
% add the graphical user interface elements
uicontrol('tag', 'labels', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', opt.trialviewtype, 'userdata', 't')
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '<', 'userdata', 'leftarrow')
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '>', 'userdata', 'rightarrow')
if strcmp(cfg.viewmode, 'component')
uicontrol('tag', 'labels', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', 'component', 'userdata', 'c')
else
uicontrol('tag', 'labels', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', 'channel', 'userdata', 'c')
end
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '<', 'userdata', 'uparrow')
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '>', 'userdata', 'downarrow')
uicontrol('tag', 'labels', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', 'horizontal', 'userdata', 'h')
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '-', 'userdata', 'shift+leftarrow')
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '+', 'userdata', 'shift+rightarrow')
uicontrol('tag', 'labels', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', 'vertical', 'userdata', 'v')
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '-', 'userdata', 'shift+downarrow')
uicontrol('tag', 'buttons', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '+', 'userdata', 'shift+uparrow')
% preproc button - allows updating the preprocessing options on the fly
uicontrol('tag', 'rightcolumn', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', 'preproc', 'userdata', 'p', 'position', [0.91, 0.88, 0.08, 0.04])
% identify button - to find label of nearest channel to datapoint
uicontrol('tag', 'rightcolumn', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', 'identify', 'userdata', 'i', 'position', [0.91, 0.83, 0.08, 0.04])
% viewmode button to toggle between vertical and butterfly
if ~strcmp(cfg.viewmode, 'component')
uicontrol('tag', 'rightcolumn', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', 'viewmode', 'userdata', 'm', 'position', [0.91, 0.78, 0.08, 0.04])
end
% legend artifacts/features
for iArt = 1:length(artlabel)
uicontrol('tag', 'artifactui', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', artlabel{iArt}, 'userdata', num2str(iArt), 'position', [0.91, 0.850 - ((2+iArt-1)*0.09), 0.08, 0.04], 'backgroundcolor', opt.artifactcolors(iArt,:))
uicontrol('tag', 'artifactui', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '<', 'userdata', ['shift+' num2str(iArt)], 'position', [0.91, 0.805 - ((2+iArt-1)*0.09), 0.03, 0.04], 'backgroundcolor', opt.artifactcolors(iArt,:))
uicontrol('tag', 'artifactui', 'parent', h, 'units', 'normalized', 'style', 'pushbutton', 'string', '>', 'userdata', ['control+' num2str(iArt)], 'position', [0.96, 0.805 - ((2+iArt-1)*0.09), 0.03, 0.04], 'backgroundcolor', opt.artifactcolors(iArt,:))
end
if length(artlabel)>1 % highlight the first one as active
arth = findobj(h, 'tag', 'artifactui');
arth = arth(end:-1:1); % order is reversed so reverse it again
hsel = [1 2 3] + (opt.artsel-1) .*3;
set(arth(hsel), 'fontweight', 'bold')
end
ft_uilayout(h, 'tag', 'labels', 'width', 0.10, 'height', 0.05);
ft_uilayout(h, 'tag', 'buttons', 'width', 0.05, 'height', 0.05);
ft_uilayout(h, 'tag', 'labels', 'style', 'pushbutton', 'callback', @keypress_cb);
ft_uilayout(h, 'tag', 'buttons', 'style', 'pushbutton', 'callback', @keypress_cb);
ft_uilayout(h, 'tag', 'rightcolumn', 'style', 'pushbutton', 'callback', @keypress_cb);
ft_uilayout(h, 'tag', 'artifactui', 'style', 'pushbutton', 'callback', @keypress_cb);
ft_uilayout(h, 'tag', 'labels', 'retag', 'navigateui'); % this renames the existing tags
ft_uilayout(h, 'tag', 'buttons', 'retag', 'navigateui'); % this renames the existing tags
ft_uilayout(h, 'tag', 'navigateui', 'BackgroundColor', [0.8 0.8 0.8], 'hpos', 'auto', 'vpos', 0);
% add a menu to the figure, but only if the current figure does not have subplots
tmpcfg = cfg;
if hasdata && isfield(data, 'cfg')
tmpcfg.previous = data.cfg;
end
menu_fieldtrip(h, tmpcfg, false);
end % if findobj navigateui
definetrial_cb(h);
redraw_cb(h);
help_cb(h);
if nargout
% wait until the user interface is closed, get the user data with the updated artifact details
set(h, 'CloseRequestFcn', @cleanup_cb);
while ishandle(h)
uiwait(h);
opt = getappdata(h, 'opt');
if opt.cleanup
delete(h);
end
end
% add the updated artifact definitions to the output cfg
for i=1:length(opt.artdata.label)
cfg.artfctdef.(opt.artdata.label{i}).artifact = boolvec2artifact(opt.artdata.trial{1}(i,:));
end
% add the updated preproc to the output
try
browsecfg = getappdata(h, 'cfg');
cfg.preproc = browsecfg.preproc;
end
% add the updated events to the output cfg
cfg.event = opt.event;
end % if nargout
% do the general cleanup and bookkeeping at the end of the function
ft_postamble debug
ft_postamble previous data
ft_postamble provenance
if ~nargout
clear cfg
end
end % main function
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% SUBFUNCTION
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function h = getparent(h)
p = h;
while p~=0
h = p;
p = get(h, 'parent');
end
end % function getparent
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% SUBFUNCTION
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function cursortext = cb_datacursortext(h, eventdata)
pos = get(eventdata, 'Position');
linetype = getappdata(eventdata.Target, 'datacursor_linetype');
if strcmp(linetype, 'event')
cursortext = sprintf('%s\nt = %g s', getappdata(eventdata.Target, 'datacursor_eventlabel'), getappdata(eventdata.Target, 'datacursor_eventtime'));
elseif strcmp(linetype, 'artifact')
cursortext = sprintf('%s\nt = %g s', getappdata(eventdata.Target, 'datacursor_artifactlabel'), getappdata(eventdata.Target, 'datacursor_artifacttime'));
elseif strcmp(linetype, 'channel')
% get plotted x axis
plottedX = get(eventdata.Target, 'xdata');
% determine values of data at real x axis
timeAxis = getappdata(eventdata.Target, 'datacursor_xdata');
dataAxis = getappdata(eventdata.Target, 'datacursor_ydata');
tInd = nearest(plottedX, pos(1));
% get label
chanLabel = getappdata(eventdata.Target, 'datacursor_label');
chanLabel = chanLabel{1};
cursortext = sprintf('%s = %g\nt = %g', chanLabel, dataAxis(tInd), timeAxis(tInd));
else
% explicitly tell the user there is no info because the x-axis and y-axis do not correspond to real data values (both are always between 0 and 1)
cursortext = '<no cursor available>';
end
end % function cb_datacursortext
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% SUBFUNCTION see also lineattributes_common
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function color = colorcheck(color, n)
% define the mapping between color characters and RGB values
% these are the standard colors used for lines
name = 'bgrcmykw';
rgb = [
0 0 1
0 1 0
1 0 0
0 1 1
1 0 1
1 1 0
0 0 0
1 1 1
];
% ensure that all colors are represented as RGB
if ischar(color)
original = color;
color = nan(length(original), 3);
for i=1:length(original)
color(i,:) = rgb(name==original(i),:);
end
end
% ensure that there are enough colors
color = repmat(color, ceil(n/size(color,1)), 1);
color = color(1:n,:);
end % function colorcheck
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% SUBFUNCTION
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function cleanup_cb(h, eventdata)
opt = getappdata(h, 'opt');
opt.cleanup = true;
setappdata(h, 'opt', opt);
uiresume
end % function cleanup_cb
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% SUBFUNCTION
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function definetrial_cb(h, eventdata)
h = getparent(h);
opt = getappdata(h, 'opt');
cfg = getappdata(h, 'cfg');
if strcmp(cfg.continuous, 'no')
% when zooming in, lock the trial! one can only go to the next trial when horizontal scaling doesn't segment the data - from ft-meeting: this might be relaxed later on - roevdmei
if isempty(opt.trllock)
opt.trllock = opt.trlop;
end
locktrllen = ((opt.trlorg(opt.trllock,2)-opt.trlorg(opt.trllock,1)+1) ./ opt.fsample);
% if cfg.blocksize is close to the length of the locked trial, set it to that
if (abs(locktrllen-cfg.blocksize) / locktrllen) < 0.1
cfg.blocksize = locktrllen;
end
%%%%%%%%%
% trial is locked, change subdivision of trial
if cfg.blocksize < locktrllen
% lock the trial if it wasn't locked (and thus trlop refers to the actual trial)
if isempty(opt.trllock)
opt.trllock = trlop;
end
% save current position if already
if isfield(opt, 'trlvis')
thissegbeg = opt.trlvis(opt.trlop,1);
end
datbegsample = min(opt.trlorg(opt.trllock,1));
datendsample = max(opt.trlorg(opt.trllock,2));
smpperseg = round(opt.fsample * cfg.blocksize);
begsamples = datbegsample:smpperseg:datendsample;
endsamples = datbegsample+smpperseg-1:smpperseg:datendsample;
offset = (((1:numel(begsamples))-1)*smpperseg) + opt.trlorg(opt.trllock,3);
if numel(endsamples)<numel(begsamples)
endsamples(end+1) = datendsample;
end
trlvis = [];
trlvis(:,1) = begsamples';
trlvis(:,2) = endsamples';
trlvis(:,3) = offset;
% determine length of each trial, and determine the offset with the current requested zoom-level
trllen = (trlvis(:,2) - trlvis(:,1)+1);
sizediff = smpperseg - trllen;
opt.nanpaddata = sizediff;
if isfield(opt, 'trlvis')
% update the current trial counter and try to keep the current sample the same
opt.trlop = nearest(begsamples, thissegbeg);