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ft_artifact_clip.m
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ft_artifact_clip.m
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function [cfg, artifact] = ft_artifact_clip(cfg, data)
% FT_ARTIFACT_CLIP scans the data segments of interest for channels that
% clip. A clipping artifact is detected by the signal being completely
% flat for some time.
%
% Use as
% [cfg, artifact] = ft_artifact_clip(cfg)
% with the configuration options
% cfg.dataset = string with the filename
% or
% cfg.headerfile = string with the filename
% cfg.datafile = string with the filename
%
% Alternatively you can use it as
% [cfg, artifact] = ft_artifact_clip(cfg, data)
%
% In both cases the configuration should also contain
% cfg.artfctdef.clip.channel = Nx1 cell-array with selection of channels, see FT_CHANNELSELECTION for details
% cfg.artfctdef.clip.pretim = 0.000; pre-artifact rejection-interval in seconds
% cfg.artfctdef.clip.psttim = 0.000; post-artifact rejection-interval in seconds
% cfg.artfctdef.clip.timethreshold = number, minimum duration in seconds of a datasegment with consecutive identical samples to be considered as 'clipped'
% cfg.artfctdef.clip.amplthreshold = number, minimum amplitude difference in consecutive samples to be considered as 'clipped' (default = 0)
% string, percent of the amplitude range considered as 'clipped' (i.e. '1%')
% cfg.continuous = 'yes' or 'no' whether the file contains continuous data
%
% The output argument "artifact" is a Nx2 matrix comparable to the
% "trl" matrix of FT_DEFINETRIAL. The first column of which specifying the
% beginsamples of an artifact period, the second column contains the
% endsamples of the artifactperiods.
%
% To facilitate data-handling and distributed computing you can use
% cfg.inputfile = ...
% If you specify this option the input data will be read from a *.mat
% file on disk. This mat files should contain only a single variable named 'data',
% corresponding to the input structure.
%
% See also FT_REJECTARTIFACT, FT_ARTIFACT_CLIP, FT_ARTIFACT_ECG, FT_ARTIFACT_EOG,
% FT_ARTIFACT_JUMP, FT_ARTIFACT_MUSCLE, FT_ARTIFACT_THRESHOLD, FT_ARTIFACT_ZVALUE
% Copyright (C) 2005-2011, 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/>.
%
% $Id$
% 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 provenance
ft_preamble loadvar data
% the ft_abort variable is set to true or false in ft_preamble_init
if ft_abort
return
end
% check if the input cfg is valid for this function
cfg = ft_checkconfig(cfg, 'renamed', {'datatype', 'continuous'});
cfg = ft_checkconfig(cfg, 'renamed', {'artfctdef.clip.thresh', 'artfctdef.clip.timethreshold'});
cfg = ft_checkconfig(cfg, 'renamedval', {'continuous', 'continuous', 'yes'});
% set default rejection parameters for clip artifacts if necessary.
if ~isfield(cfg,'artfctdef'), cfg.artfctdef = []; end;
if ~isfield(cfg.artfctdef,'clip'), cfg.artfctdef.clip = []; end;
if ~isfield(cfg.artfctdef.clip,'channel'), cfg.artfctdef.clip.channel = 'all'; end;
if ~isfield(cfg.artfctdef.clip,'timethreshold'), cfg.artfctdef.clip.timethreshold = 0.010; end;
if ~isfield(cfg.artfctdef.clip,'amplthreshold'), cfg.artfctdef.clip.amplthreshold = 0.000; end;
if ~isfield(cfg.artfctdef.clip,'pretim'), cfg.artfctdef.clip.pretim = 0.000; end;
if ~isfield(cfg.artfctdef.clip,'psttim'), cfg.artfctdef.clip.psttim = 0.000; end;
if ~isfield(cfg, 'headerformat'), cfg.headerformat = []; end;
if ~isfield(cfg, 'dataformat'), cfg.dataformat = []; end;
% for backward compatibility
if isfield(cfg.artfctdef.clip,'sgn')
cfg.artfctdef.clip.channel = cfg.artfctdef.clip.sgn;
cfg.artfctdef.clip = rmfield(cfg.artfctdef.clip, 'sgn');
end
% start with an empty artifact list
artifact = [];
% the data is either passed into the function by the user or read from file with cfg.inputfile
hasdata = exist('data', 'var');
if ~hasdata
cfg = ft_checkconfig(cfg, 'dataset2files', 'yes');
cfg = ft_checkconfig(cfg, 'required', {'headerfile', 'datafile'});
hdr = ft_read_header(cfg.headerfile,'headerformat', cfg.headerformat);
trl = cfg.trl;
else
data = ft_checkdata(data, 'hassampleinfo', 'yes');
cfg = ft_checkconfig(cfg, 'forbidden', {'dataset', 'headerfile', 'datafile'});
hdr = ft_fetch_header(data);
if isfield(data, 'sampleinfo'),
trl = data.sampleinfo;
for k = 1:numel(data.trial)
trl(k,3) = time2offset(data.time{k}, data.fsample);
end
else
error('the input data does not contain a valid description of the sampleinfo');
end
end
% set default cfg.continuous
if ~isfield(cfg, 'continuous')
if hdr.nTrials==1
cfg.continuous = 'yes';
else
cfg.continuous = 'no';
end
end
% find the channel labels present in the data and their indices
label = ft_channelselection(cfg.artfctdef.clip.channel, hdr.label);
sgnindx = match_str(hdr.label, label);
% make a local copy for convenience
artfctdef = cfg.artfctdef.clip;
ntrl = size(trl,1);
nsgn = length(sgnindx);
for trlop=1:ntrl
fprintf('searching for clipping artifacts in trial %d\n', trlop);
% read the data of this trial
if hasdata
dat = ft_fetch_data(data, 'header', hdr, 'begsample', trl(trlop,1), 'endsample', trl(trlop,2), 'chanindx', sgnindx);
else
dat = ft_read_data(cfg.datafile, 'header', hdr, 'begsample', trl(trlop,1), 'endsample', trl(trlop,2), 'chanindx', sgnindx, 'checkboundary', strcmp(cfg.continuous, 'no'), 'dataformat', cfg.dataformat);
end
% get time
if size(trl,2)>=3
time = offset2time(trl(trlop,3), hdr.Fs, size(dat,2));
elseif hasdata
time = data.time{trlop};
end
datflt = preproc(dat, label, time, artfctdef);
%check if cfg.artfctdef.clip.amplthreshold is an string indicating percentage (e.g. '10%')
if ~isempty(cfg.artfctdef.clip.amplthreshold) && ischar(cfg.artfctdef.clip.amplthreshold) && cfg.artfctdef.clip.amplthreshold(end)=='%'
ratio = sscanf(cfg.artfctdef.clip.amplthreshold, '%f%%');
ratio = ratio/100;
identical = abs(datflt(:,1:(end-1))-datflt(:,2:end));
r = range(identical,2);
for sgnlop=1:length(sgnindx);
identical(sgnlop,:) = (identical(sgnlop,:)/r(sgnlop))*100;
end
identical = identical <= ratio;
else
% detect all samples that have the same value as the previous sample
identical = abs(datflt(:,1:(end-1))-datflt(:,2:end))<=cfg.artfctdef.clip.amplthreshold;
end
% ensure that the number of samples does not change
identical = [identical zeros(nsgn,1)];
% determine the number of consecutively identical samples
clip = zeros(size(dat));
for sgnlop=1:length(sgnindx)
up = find(diff([0 identical(sgnlop,:)], 1, 2)== 1);
dw = find(diff([identical(sgnlop,:) 0], 1, 2)==-1);
for k=1:length(up)
clip(sgnlop,up(k):dw(k)) = dw(k)-up(k);
end
end
% collapse over cannels
clip = max(clip,[],1);
% detect whether there are intervals in which the number of consecutive
% identical samples is larger than the threshold
thresh = (clip>=artfctdef.timethreshold*hdr.Fs);
% remember the thresholded parts as artifacts
artup = find(diff([0 thresh])== 1) + trl(trlop,1) - 1;
artdw = find(diff([thresh 0])==-1) + trl(trlop,1) - 1;
for k=1:length(artup)
artifact(end+1,:) = [artup(k) artdw(k)];
end
end
if ~isempty(artifact)
% add the pretim and psttim to the detected artifacts
artifact(:,1) = artifact(:,1) - artfctdef.pretim * hdr.Fs;
artifact(:,2) = artifact(:,2) + artfctdef.psttim * hdr.Fs;
end
% remember the details that were used here
cfg.artfctdef.clip = artfctdef;
cfg.artfctdef.clip.label = label;
cfg.artfctdef.clip.trl = trl;
cfg.artfctdef.clip.artifact = artifact;
% do the general cleanup and bookkeeping at the end of the function
ft_postamble provenance
ft_postamble previous data