From b1d34630fa9f900e1d1205f707aa11907c613ee4 Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Fri, 18 May 2018 17:57:13 +0300 Subject: [PATCH 1/9] added NEWS.md --- NEWS.md | 2 ++ 1 file changed, 2 insertions(+) create mode 100644 NEWS.md diff --git a/NEWS.md b/NEWS.md new file mode 100644 index 0000000..d2bc0f6 --- /dev/null +++ b/NEWS.md @@ -0,0 +1,2 @@ +# TBT 2.0+ + From 37e0ff1b142f01a0aae773c46346b7661d914337 Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Tue, 29 May 2018 15:56:50 +0300 Subject: [PATCH 2/9] fix accidental merging into a single epoch --- NEWS.md | 2 ++ tbt/tbt_bcr.m | 12 +++++++++++- 2 files changed, 13 insertions(+), 1 deletion(-) diff --git a/NEWS.md b/NEWS.md index d2bc0f6..e5c0a7e 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,2 +1,4 @@ # TBT 2.0+ +- Fixed bug in `tbt_bcr` where the returned `EEG` dataset would sometimes consist of a single concatenated trial, and not epoced data (caused by `eeglab`'s `pop_mergeset`). + diff --git a/tbt/tbt_bcr.m b/tbt/tbt_bcr.m index 1fda8ba..148bab1 100644 --- a/tbt/tbt_bcr.m +++ b/tbt/tbt_bcr.m @@ -124,7 +124,7 @@ end %% Interpolate bad channels (trial by trial) - EEG_old = EEG; % need the old channlocs an events for later + EEG_old = EEG; % need the old channlocs and events for later if ~exist('chanlocs','var') interp_all = true; chanlocs = EEG_old.chanlocs; @@ -168,9 +168,19 @@ % Merge fprintf('pop_TBT(): Merging data (this might take a while)..') + old_ntrials = []; + if NEWEEG(end).trials==1 % this will cause problems when merging. + old_ntrials = EEG.trials; + NEWEEG(end+1) = EEG; + end evalc('EEG = pop_mergeset(NEWEEG, [length(NEWEEG) 1:length(NEWEEG)-1], 0);'); % EEG = pop_mergeset(NEWEEG, [length(NEWEEG) 1:length(NEWEEG)-1], 0); + if ~isempty(old_ntrials) + evalc('EEG = pop_select( EEG,''notrial'',[1:old_ntrials]);'); + % EEG = pop_select( EEG,'notrial',[1:old_ntrials]); + end + % remove extra trimmmmmmmm from urevent old_ur_len = length(EEG_old.urevent)+1; for e = 1:length(EEG.event) From 84256780ca8a48db3804845d3750cdec1cd9ca83 Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Mon, 17 Sep 2018 13:26:30 +0300 Subject: [PATCH 3/9] improvements to plotting + bug fix --- NEWS.md | 1 - eegmaxmin/pop_eegmaxmin.m | 2 +- tbt/tbt_bcr.m | 21 ++++++++++++--------- 3 files changed, 13 insertions(+), 11 deletions(-) diff --git a/NEWS.md b/NEWS.md index e5c0a7e..1c2a142 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,3 @@ # TBT 2.0+ - Fixed bug in `tbt_bcr` where the returned `EEG` dataset would sometimes consist of a single concatenated trial, and not epoced data (caused by `eeglab`'s `pop_mergeset`). - diff --git a/eegmaxmin/pop_eegmaxmin.m b/eegmaxmin/pop_eegmaxmin.m index 8413073..11aa9f4 100644 --- a/eegmaxmin/pop_eegmaxmin.m +++ b/eegmaxmin/pop_eegmaxmin.m @@ -54,7 +54,7 @@ {'Style', 'text', 'string', 'Channels' }... {'Style', 'edit', 'string', ['1:' num2str(EEG.nbchan)] 'tag' 'chans' } ... {'Style', 'text', 'string', 'Window Size (in ms)' }... - {'Style', 'edit', 'string', '500' 'tag' 'win' } ... + {'Style', 'edit', 'string', num2str(floor([EEG.xmax - EEG.xmin]/2*1000)) 'tag' 'win' } ... {'Style', 'text', 'string', 'Step Size (in ms)' }... {'Style', 'edit', 'string', '1' 'tag' 'step' } ... {'Style', 'text', 'string', 'compute moving average of (in ms):' }... diff --git a/tbt/tbt_bcr.m b/tbt/tbt_bcr.m index 148bab1..a2eb48f 100644 --- a/tbt/tbt_bcr.m +++ b/tbt/tbt_bcr.m @@ -78,20 +78,23 @@ end if plot_bads==1 - mark = bads'; - - mark(:,6:end+5) = mark; + mark = ones([0,5] + size(bads')); + mark(:,6:end) = bads'; mark(:,1) = 1:EEG.pnts:EEG.pnts*EEG.trials; % start sample mark(:,2) = mark(:,1)+EEG.pnts; % end sample - mark(~bTrial_ind,3:5) = 1; % color for good trials (white) mark(bTrial_ind,3) = 1; % R for bad trials mark(bTrial_ind,4) = 0.9; % G for bad trials mark(bTrial_ind,5) = 0.7; % B for bad trials - eegplot(EEG.data(:,:,:),'srate', EEG.srate, 'limits', [EEG.xmin EEG.xmax]*1000 ,... - 'events', EEG.event ,'winrej',mark); + eegplot(EEG.data(:,:,:), 'winrej',mark, 'events', EEG.event ,... + 'srate', EEG.srate, 'limits', [EEG.xmin EEG.xmax]*1000); uiwait(gcf); - choice = questdlg(sprintf('Proceed?'), ... + + + choice = questdlg(... + sprintf(['%d channel(s) are bad on at least 1 trial.\n'... + '%d trial(s) contain at least 1 bad channel\n'... + '\nProceed?'],sum(any(bads,2)),sum(any(bads,1))), ... 'Confirm', ... 'Yes','No (do nothing)','Yes'); switch choice @@ -100,8 +103,6 @@ end end - - if plot_bads==0 %% Remove bad channels and trials % Remove bad channels @@ -136,6 +137,8 @@ tbt = tbt_bool2cell(bads,EEG); if size(tbt,1)~=0 + fprintf('pop_TBT(): %d channel(s) are bad on at least 1 trial.\n',sum(any(bads,2))) + fprintf('pop_TBT(): %d traisl(s) contain at least 1 bad channel.\n',sum(any(bads,1))) fprintf('pop_TBT(): Splitting data') for t = 1:size(tbt,1) % each trial with bad channels if ~mod(t,5), fprintf('.'); end From 6558efdb32201c54209e41ef29f154bc31740c3b Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Mon, 17 Sep 2018 18:48:25 +0300 Subject: [PATCH 4/9] New plot type for TBT --- NEWS.md | 4 +++- tbt/tbt_bcr.m | 35 ++++++++++++++++++++++++++++++----- 2 files changed, 33 insertions(+), 6 deletions(-) diff --git a/NEWS.md b/NEWS.md index 1c2a142..3bde672 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,5 @@ # TBT 2.0+ -- Fixed bug in `tbt_bcr` where the returned `EEG` dataset would sometimes consist of a single concatenated trial, and not epoced data (caused by `eeglab`'s `pop_mergeset`). +- When plotting in `pop_TBT`, a second array-plot is returned, allowing for a 'glance' at the rejected trials / channels. +- Fixed bug in `pop_eegmaxmin` where defult value for `winSize` did not make sense. +- Fixed bug in `pop_TBT` where the returned `EEG` dataset would sometimes consist of a single concatenated trial, and not epoced data (caused by `eeglab`'s `pop_mergeset`). diff --git a/tbt/tbt_bcr.m b/tbt/tbt_bcr.m index a2eb48f..9ccebea 100644 --- a/tbt/tbt_bcr.m +++ b/tbt/tbt_bcr.m @@ -78,8 +78,26 @@ end if plot_bads==1 + % Plot Matrix at a glance + forplot_bads = double(~bads); + forplot_bads(:,bTrial_ind) = EEG.trials + 1; + for tr = 1:EEG.trials + forplot_bads(bads(:,tr),tr) = tr; + end + forplot_bads(bChan_ind,:) = EEG.trials + 1; + + figure; imagesc(forplot_bads); + colormap([1 1 1; rand([EEG.trials 3]); [1 .25 .25]]) + title('Bad channels by trial') + xlabel('Trial'); ylabel('Channel'); + yticks(1:EEG.nbchan); yticklabels({EEG.chanlocs.labels}); + annotation('textbox', [0.1, 0.07, 0, 0],... + 'String', 'Each trial is marked by a color. Red lines indicate a channel or trial that will be completelty removed. ',... + 'FitBoxToText', 'on', 'LineStyle', 'none'); + + % Plot EEG mark = ones([0,5] + size(bads')); - mark(:,6:end) = bads'; + mark(:,6:end) = double(bads'); mark(:,1) = 1:EEG.pnts:EEG.pnts*EEG.trials; % start sample mark(:,2) = mark(:,1)+EEG.pnts; % end sample mark(bTrial_ind,3) = 1; % R for bad trials @@ -89,12 +107,19 @@ 'srate', EEG.srate, 'limits', [EEG.xmin EEG.xmax]*1000); uiwait(gcf); - + dlgmsstxt = sprintf(... + ['%d trial and %d channels will be completely removed. Additionally:\n'... + '%d channel(s) are bad on at least 1 trial.\n'... + '%d trial(s) contain at least 1 bad channel\n'... + '\n',... + 'Proceed?'],... + length(bTrial_num),... + length(bChan_lab),... + sum(any(bads(~bChan_ind,~bTrial_ind),2)),... + sum(any(bads(~bChan_ind,~bTrial_ind),1))); choice = questdlg(... - sprintf(['%d channel(s) are bad on at least 1 trial.\n'... - '%d trial(s) contain at least 1 bad channel\n'... - '\nProceed?'],sum(any(bads,2)),sum(any(bads,1))), ... + dlgmsstxt, ... 'Confirm', ... 'Yes','No (do nothing)','Yes'); switch choice From 17617b6a3c369d487a74f0a4ac0653a71185ceff Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Mon, 17 Sep 2018 18:48:37 +0300 Subject: [PATCH 5/9] bug fix for defult values --- eegmaxmin/eegmaxmin.m | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/eegmaxmin/eegmaxmin.m b/eegmaxmin/eegmaxmin.m index 0a48e05..0304b7f 100644 --- a/eegmaxmin/eegmaxmin.m +++ b/eegmaxmin/eegmaxmin.m @@ -2,8 +2,8 @@ if isempty(chanRange), chanRange = 1:EEG.nbchan; end if isempty(timeRange), timeRange = [EEG.xmin EEG.xmax]*1000; end % in ms -if isempty(winSize), winSize = 1000*(timeRange(2)-timeRange(1)); end % in ms -if isempty(stepSize), stepSize = round(winSize/10); end % in ms +if isempty(winSize), winSize = diff(timeRange); end % in ms +if isempty(stepSize), stepSize = ceil(winSize/10); end % in ms if isempty(maW), maW = 0; end % in ms % Prep data @@ -11,12 +11,12 @@ c_ind = chanRange; cut_data = EEG.data(c_ind,t_ind,:); +maW = round(maW/(1000/EEG.srate)); if maW > 0 - maW = round(maW/(1000/EEG.srate)); try cut_data = movmean(cut_data,maW,2); catch - warning(sprintf('moving average supported only on Matlab 2016b+\nWill not compute moving average')) + warning('moving average supported only on Matlab 2016b+\nWill not compute moving average') end end @@ -25,7 +25,7 @@ w1 = [1:stepSize:(size(cut_data,2)-winSize) (size(cut_data,2)-winSize+1)]; we = w1+winSize-1; -rej = false([size(EEG.data)]); +rej = false(size(EEG.data)); rej = permute(rej,[1,3,2]); rej = rej(:,:,1:length(w1)); for tw = 1:length(w1) From 03a8b1f9a8b1d7503756aab8b74545d3dc3bbf01 Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Mon, 17 Sep 2018 18:57:00 +0300 Subject: [PATCH 6/9] change defult value --- eegmaxmin/pop_eegmaxmin.m | 2 +- tbt/pop_TBT.m | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/eegmaxmin/pop_eegmaxmin.m b/eegmaxmin/pop_eegmaxmin.m index 11aa9f4..8cf11eb 100644 --- a/eegmaxmin/pop_eegmaxmin.m +++ b/eegmaxmin/pop_eegmaxmin.m @@ -1,7 +1,7 @@ % pop_TBT() - Rejects and iterpolates channels on a epoch by epoch basis. % % Usage: -% >> [EEG, com] = pop_eegmaxmin(EEG); % pop-up interative window mode +% >> [EEG, com] = pop_eegmaxmin(EEG); % pop-up interactive window mode % >> EEG = pop_eegmaxmin(EEG,chanRange,timeRange,minmaxThresh,winSize,stepSize,maW); % % Inputs: diff --git a/tbt/pop_TBT.m b/tbt/pop_TBT.m index 716e535..13773dc 100644 --- a/tbt/pop_TBT.m +++ b/tbt/pop_TBT.m @@ -107,7 +107,7 @@ ' ',... 'pop_rejspec';... ... - ['[1:' num2str(EEG.nbchan) '],[' num2str([EEG.xmin EEG.xmax]*1000) '],200,' num2str([EEG.xmax - EEG.xmin]*1000) ',1,0'],... + ['[1:' num2str(EEG.nbchan) '],[' num2str([EEG.xmin EEG.xmax]*1000) '],100,' num2str([EEG.xmax - EEG.xmin]*1000) ',1,0'],... 'chanRange,timeRange,minmaxThresh,winSize,stepSize,maW',... 'pop_eegmaxmin';... }; From 653152a0945d5b2efe00010b822fbe32dfaf0c39 Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Sun, 23 Sep 2018 13:27:50 +0300 Subject: [PATCH 7/9] new tbt_bcr2 --- NEWS.md | 1 + tbt/pop_TBT.m | 10 ++-- tbt/tbt_bcr.m | 2 + tbt/tbt_bcr2.m | 148 +++++++++++++++++++++++++++++++++++++++++++++++++ 4 files changed, 155 insertions(+), 6 deletions(-) create mode 100644 tbt/tbt_bcr2.m diff --git a/NEWS.md b/NEWS.md index 3bde672..85a80da 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,6 @@ # TBT 2.0+ +- `pop_TBT` now returns the epochs in the correct order (and also runs a lot faster) (previously, due to the fucntion of `pop_mergeset`, the output EEG's trials were not necessarily in the same order as the input EEG - but the `urevents` could have been used as usual). - When plotting in `pop_TBT`, a second array-plot is returned, allowing for a 'glance' at the rejected trials / channels. - Fixed bug in `pop_eegmaxmin` where defult value for `winSize` did not make sense. - Fixed bug in `pop_TBT` where the returned `EEG` dataset would sometimes consist of a single concatenated trial, and not epoced data (caused by `eeglab`'s `pop_mergeset`). diff --git a/tbt/pop_TBT.m b/tbt/pop_TBT.m index 13773dc..3f71b3b 100644 --- a/tbt/pop_TBT.m +++ b/tbt/pop_TBT.m @@ -49,10 +49,8 @@ % interpolated back in. % % Outputs: -% EEG - output dataset. Note that due to the fucntion of -% `pop_mergeset`, the output EEG's trials are not necessarily -% in the same order as the input EEG (but the urevents can -% still be used as usual). +% EEG - output dataset. +% badlist - number of bad channel and epochs removed % % Copyright (C) 2017 Mattan S. Ben-Shachar % @@ -166,9 +164,9 @@ else if ~exist('plot_bads','var'), plot_bads = 1; end if exist('chanlocs','var') - [EEG, nbadchan, nbadtrial] = tbt_bcr(EEG,bads,badsegs,badchans,plot_bads,chanlocs); + [EEG, nbadchan, nbadtrial] = tbt_bcr2(EEG,bads,badsegs,badchans,plot_bads,chanlocs); else - [EEG, nbadchan, nbadtrial] = tbt_bcr(EEG,bads,badsegs,badchans,plot_bads); + [EEG, nbadchan, nbadtrial] = tbt_bcr2(EEG,bads,badsegs,badchans,plot_bads); end badlist.nbadchan = nbadchan; diff --git a/tbt/tbt_bcr.m b/tbt/tbt_bcr.m index 9ccebea..5cd37ec 100644 --- a/tbt/tbt_bcr.m +++ b/tbt/tbt_bcr.m @@ -48,6 +48,8 @@ function [EEG, nbadchan, nbadtrial] = tbt_bcr(EEG,bads,badsegs,badchans,plot_bads,chanlocs) +warning('tbt_bcr() is Depricated - use tbt_bcr2() instead!') + %% convert bads from cell to array if iscell(bads) fprintf('pop_TBT(): Converting cell-array.') diff --git a/tbt/tbt_bcr2.m b/tbt/tbt_bcr2.m new file mode 100644 index 0000000..6dc6ac9 --- /dev/null +++ b/tbt/tbt_bcr2.m @@ -0,0 +1,148 @@ +% tbt_bcr2() - Rejects and iterpolates channels on a epoch by epoch basis. +% +% Usage: +% >> [EEG, nbadchan, nbadtrial] = tbt_bcr2(EEG,bads,badsegs,badchans,plot_bads,chanlocs); +% +% Inputs: +% EEG - input dataset +% bads - a boolean 2-d matrix (channels * trials) specifying "bad +% channels" for each epoch. OR a cell array (see pop_TBT +% for specs). +% badsegs - Number of max bad channels per epoch. If an epoch has +% more than this number of bad channels, the epoch is +% removed. +% badchans - Proportion (e.g., 0.3) of max bad epochs per channel. If +% a channel was found to be bad on more than this percent +% of trials, it is removed. +% plot_bads - [0|1] plot before executing. When plotting, will also ask +% to confirm. If no plotting, will execute immediately. +% chanlocs - [optional] a chanlocs struct (e.g., EEG.chanlocs). If +% provided, missing channels will be interpolated according +% to this struct, and not the input EEG. NOTE that if not +% provided, channel that have been rejected across the +% dataset (according to the badchans critirion) will not be +% interpolated back in. +% +% Outputs: +% EEG - output dataset +% nbadchan - number of channels rejected +% nbadtrial - number of epochs rejected +% + +% Copyright (C) 2018 Mattan S. Ben-Shachar +% +% 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 [EEG, nbadchan, nbadtrial] = tbt_bcr2(EEG,bads,badsegs,badchans,plot_bads,chanlocs) + +%% convert bads from cell to array +if iscell(bads) + fprintf('pop_TBT(): Converting cell-array.') + bads = tbt_cell2bool(bads,EEG); + fprintf('.. done.\n') +end + +%% Find bad trials and Channels + +% Find trial with more than X bad channels: +trials_ind = 1:EEG.trials; +bTrial_ind = sum(bads,1)>=badsegs; % boolean list +bTrial_num = trials_ind(bTrial_ind); % trial list +nbadtrial = length(bTrial_num); % count bad trials + +% Find channels that have been marked as bad in more than X% of trials: +bChan_ind = (sum(bads,2)/EEG.trials)>=badchans; % boolean list +bChan_lab = {EEG.chanlocs(bChan_ind).labels}; % Channel label list +nbadchan = length(bChan_lab); % count bad channels +bads(bChan_ind,:) = 1; % mark for plotting + +%% Plot + +if isempty(plot_bads) + plot_bads=0; +elseif ~any(plot_bads==[-1 0 1]) + error('plot_bads can only be 0, 1 (or empty - defaults to 0).') +end + +if plot_bads==1 + plot_bads = tbt_plot(EEG,bads,bTrial_ind,bChan_ind); +end + +if plot_bads==0 + %% Remove bad channels and trials + % Remove bad channels + fprintf('\n') + if ~isempty(bChan_lab) % if any bad channels + fprintf('pop_TBT(): Dropping %d channel(s).',length(bChan_lab)) + evalc('EEG = pop_select(EEG,''nochannel'',bChan_lab);'); + % EEG = pop_select(EEG,'nochannel',bChan_lab); % remove from data + bads = bads(~bChan_ind,:); % update bads matrix + fprintf('.. done.\n') + end + + % Remove bad trials + if ~isempty(bTrial_num) % if any bad trials + fprintf('pop_TBT(): Removing %d epoch(s).',length(bTrial_num)) + evalc('EEG = pop_rejepoch(EEG, bTrial_num ,0);'); + % EEG = pop_rejepoch(EEG, bTrial_num ,0); % remove from data + bads = bads(:,~bTrial_ind); % update bads matrix + fprintf('.. done.\n') + end + + %% Interpolate bad channels (trial by trial) + if ~exist('chanlocs','var') + interp_all = false; + chanlocs = EEG.chanlocs; + else + interp_all = true; + end + + % convert bool array to n-by-2 cell-list + tbt = tbt_bool2cell(bads,EEG); + + if size(tbt,1)~=0 + fprintf('pop_TBT(): %d channel(s) are bad on at least 1 trial.\n',sum(any(bads,2))) + fprintf(' %d trials(s) contain at least 1 bad channel.\n',sum(any(bads,1))) + + fprintf('pop_TBT(): Interpolating epoch-by-epoch..') + for t = 1:size(tbt,1) % each trial with bad channels + if ~mod(t,5), fprintf('.'); end + + % split + evalc('tempeeg(t) = pop_selectevent(EEG, ''epoch'',tbt{t,1});'); + + % remove bad channels + evalc('tempeeg(t) = pop_select(tempeeg(t),''nochannel'',tbt{t,2});'); + + % interp single trial + evalc('tempeeg(t) = pop_interp(tempeeg(t), chanlocs, ''spherical'');'); + end + + evalc('EEG = pop_interp(EEG, chanlocs, ''spherical'');'); % to match all channels to the chanloc channel + tempeeg = cat(3,tempeeg.data); % gather all data + EEG.data(:,:,cat(1,tbt{:,1})) = tempeeg; % re-add to EEG.data + + fprintf('.. done.\n') + elseif interp_all + fprintf('pop_TBT(): Interpolating missing channels') + evalc('EEG = pop_interp(EEG, chanlocs, ''spherical'');'); + fprintf('.. done.\n') + end + + EEG = eeg_checkset(EEG); +end + +end \ No newline at end of file From 3067c78f545ceb70daf045fe1c6ce1d63b333784 Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Sun, 23 Sep 2018 13:27:59 +0300 Subject: [PATCH 8/9] new tbt_plot --- tbt/tbt_plot.m | 61 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) create mode 100644 tbt/tbt_plot.m diff --git a/tbt/tbt_plot.m b/tbt/tbt_plot.m new file mode 100644 index 0000000..3741dd2 --- /dev/null +++ b/tbt/tbt_plot.m @@ -0,0 +1,61 @@ +function plot_bads = tbt_plot(EEG,bads,bTrial_ind,bChan_ind) + +plot_bads = 1; + +%% Plot Matrix at a glance + +% Prep for plotting +forplot_bads = double(~bads); +forplot_bads(:,bTrial_ind) = EEG.trials + 1; +for tr = 1:EEG.trials + forplot_bads(bads(:,tr),tr) = tr; +end +forplot_bads(bChan_ind,:) = EEG.trials + 1; + +% Plot +figure; imagesc(forplot_bads); +colormap([1 1 1; rand([EEG.trials 3]); [1 .25 .25]]) +title('Bad channels by trial') +xlabel('Trial'); ylabel('Channel'); +yticks(1:EEG.nbchan); yticklabels({EEG.chanlocs.labels}); +annotation('textbox', [0.1, 0.07, 0, 0],... + 'String', 'Each trial is marked by a color. Red lines indicate a channel or trial that will be completelty removed. ',... + 'FitBoxToText', 'on', 'LineStyle', 'none'); + +%% Plot EEG + +% Prep for plotting +mark = ones([0,5] + size(bads')); +mark(:,6:end) = double(bads'); +mark(:,1) = 1:EEG.pnts:EEG.pnts*EEG.trials; % start sample +mark(:,2) = mark(:,1)+EEG.pnts; % end sample +mark(bTrial_ind,3) = 1; % R for bad trials +mark(bTrial_ind,4) = 0.9; % G for bad trials +mark(bTrial_ind,5) = 0.7; % B for bad trials + +% Plot +eegplot(EEG.data(:,:,:), 'winrej',mark, 'events', EEG.event ,... + 'srate', EEG.srate, 'limits', [EEG.xmin EEG.xmax]*1000); + +%% Wait for respons +uiwait(gcf); +dlgmsstxt = sprintf(... + ['%d trial and %d channels will be completely removed. Additionally:\n'... + '%d channel(s) are bad on at least 1 trial.\n'... + '%d trial(s) contain at least 1 bad channel\n'... + '\n',... + 'Proceed?'],... + sum(bTrial_ind),... + sum(bChan_ind),... + sum(any(bads(~bChan_ind,~bTrial_ind),2)),... + sum(any(bads(~bChan_ind,~bTrial_ind),1))); + +choice = questdlg(... + dlgmsstxt, ... + 'Confirm', ... + 'Yes','No (do nothing)','Yes'); +switch choice + case 'Yes' + plot_bads = 0; +end +end \ No newline at end of file From 8b37b6e664e412a62249270be2d4a5ab370353b0 Mon Sep 17 00:00:00 2001 From: mattansb <35330040+mattansb@users.noreply.github.com> Date: Sun, 23 Sep 2018 13:28:42 +0300 Subject: [PATCH 9/9] updated doc --- NEWS.md | 2 +- README.md | 8 +++++--- doc/Using_eegmaxmin.md | 2 -- doc/tbt_plot.png | Bin 124748 -> 0 bytes doc/tbt_plot_eeg.png | Bin 0 -> 277045 bytes doc/tbt_plot_matrix.png | Bin 0 -> 46261 bytes 6 files changed, 6 insertions(+), 6 deletions(-) delete mode 100644 doc/tbt_plot.png create mode 100644 doc/tbt_plot_eeg.png create mode 100644 doc/tbt_plot_matrix.png diff --git a/NEWS.md b/NEWS.md index 85a80da..1e98e4a 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# TBT 2.0+ +# TBT 2.5.0 - `pop_TBT` now returns the epochs in the correct order (and also runs a lot faster) (previously, due to the fucntion of `pop_mergeset`, the output EEG's trials were not necessarily in the same order as the input EEG - but the `urevents` could have been used as usual). - When plotting in `pop_TBT`, a second array-plot is returned, allowing for a 'glance' at the rejected trials / channels. diff --git a/README.md b/README.md index 4bbdb96..9527d6d 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ It also comes with an additional method for rejecting epochs - max-minus-min thr ## List of included functions - `eegplugin_TBT` - EEGLAB plugin function. -- `tbt_bcr` - epoch-by-epoch channel interpolation, based on any rejection method used by EEGLAB, or a manual cell-array listing which channels to interpolate in which epochs. +- `tbt_bcr2` - epoch-by-epoch channel interpolation, based on any rejection method used by EEGLAB, or a manual cell-array listing which channels to interpolate in which epochs. - `tbt_bool2cell` - converts a boolean channel-by-trial matrix to a tbt ready cell-list (see bellow). - `tbt_cell2bool` - converts a tbt ready cell-list a boolean channel-by-trial matrix (see bellow). - `pop_TBT` - call from EEGLAB menu of `tbt_bcr`. If no parameters are specified, pops a GUI window. @@ -37,7 +37,9 @@ You will be asked to select a rejection method, and set its parameters, and also 2. **The maximum number of bad channels per trial.** If a trial has more than this number of bad channels, the trial will be removed. 3. Whether to plot the marked channels and trials before rejecting and interpolating the marked channels. -![](doc/tbt_plot.png) +![](doc/tbt_plot_eeg.png) +![](doc/tbt_plot_matrix.png) + ## Scripting @@ -112,7 +114,7 @@ tbt_bool2cell(EEG.reject.rejmaxminE, EEG) ``` -### Intepolating all missing channels +### Interpolating all missing channels By default, trial-by-trial interpolation interpolates *only* the channels that are marked on a single-trial basis. i.e., channels marked as bad across the whole data-set will not be re-added by interpolation. If you wish to add them back (or any other channel that may have been removed in any previous processing step), channel locations can be added to `pop_tbt`: diff --git a/doc/Using_eegmaxmin.md b/doc/Using_eegmaxmin.md index decbc4b..184ba14 100644 --- a/doc/Using_eegmaxmin.md +++ b/doc/Using_eegmaxmin.md @@ -1,5 +1,3 @@ - - eegmaxmin ========= diff --git a/doc/tbt_plot.png b/doc/tbt_plot.png deleted file mode 100644 index 7272c71e064e766b5877321cdf51f2cdf65c441c..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 124748 zcmce;cUaPI+c;cVQJGTtEpwt)+AvK^%}I_jGo!RJ7gVlHk=zr=EJyA%%^YNwW}15s zuq?N^Cn731aij2|HsTXb`&Rp#PB3AKm=@8xzs*%R~qo!sg7a-n27 zxzIfk5r%sTd8na@ZoSn!3s;CU#;aSeYJ#}haECU?K+^7f`CO5|V$EJU21Cz){9^tA z>^81UU(erA40{Af2>Tn5#@Z1V{)Q#(G5rr&f58J{udtlZ-@uObJ>c@_FBtJt3_cLh zvC4B{z+hgqYgl+_2k^zGqA1Fm6;;ekI0n2i4O}q zAuNZZ4po_X`UJ0dVJO^HXa4gfFxQ@u+8vz3#^X5Nj5ZuIZKVjzja;!rFApnN|ILnY z3FBBvs|bM5_l?Rbp;cy{jq|vxX2g>{0VIiu@rLD7j79G3G0>>*9%gPdt 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