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loadcnt_bcl.m
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% loadcnt_bcl() - Load a Neuroscan continuous signal file.
%
% Usage:
% >> cnt = loadcnt_bcl(file, varargin)
%
% Inputs:
% filename - name of the file with extension
%
% Optional inputs:
% 't1' - start at time t1, default 0. Warning, events latency
% might be innacurate (this is an open issue).
% 'sample1' - start at sample1, default 0, overrides t1. Warning,
% events latency might be innacurate.
% 'lddur' - duration of segment to load, default = whole file
% 'ldnsamples' - number of samples to load, default = whole file,
% overrides lddur
% 'scale' - ['on'|'off'] scale data to microvolt (default:'on')
% 'dataformat' - ['int16'|'int32'] default is 'int16' for 16-bit data.
% Use 'int32' for 32-bit data.
% 'blockread' - [integer] by default it is automatically determined
% from the file header, though sometimes it finds an
% incorect value, so you may want to enter a value manually
% here (1 is the most standard value).
% 'memmapfile' - ['memmapfile_name'] use this option if the .cnt file
% is too large to read in conventially. The suffix of
% the memmapfile_name must be .fdt. The memmapfile
% functions process files based on their suffix, and an
% error will occur if you use a different suffix.
% 'autoNsamples' use this option to automatically discard the end problem
% data introduced by SCAN4.3 ~ 4.5. Added by Yang 2014-03-31
%
% Outputs:
% cnt - structure with the continuous data and other informations
% cnt.header
% cnt.electloc
% cnt.data
% cnt.tag
%
% Authors: Sean Fitzgibbon, Arnaud Delorme, 2000-
%
% Note: function original name was load_scan41.m
%
% Known limitations:
% For more see http://www.cnl.salk.edu/~arno/cntload/index.html
% Copyright (C) 2000 Sean Fitzgibbon, <psspf@id.psy.flinders.edu.au>
% Copyright (C) 2003 Arnaud Delorme, Salk Institute, arno@salk.edu
%
% 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 [f,lab,ev2p] = loadcnt_bcl(filename,varargin)
if ~isempty(varargin)
r=struct(varargin{:});
else
r = [];
end;
try, r.t1; catch, r.t1 =0; end
try, r.sample1; catch, r.sample1 =[]; end
try, r.lddur; catch, r.lddur =[]; end
try, r.ldnsamples; catch, r.ldnsamples =[]; end
try, r.scale; catch, r.scale ='on'; end
try, r.blockread; catch, r.blockread = []; end
try, r.dataformat; catch, r.dataformat = 'auto'; end
try, r.memmapfile; catch, r.memmapfile = ''; end
try, r.autoNsamples; catch, r.autoNsamples = true;end
sizeEvent1 = 8 ; %%% 8 bytes for Event1
sizeEvent2 = 19 ; %%% 19 bytes for Event2
sizeEvent3 = 19 ; %%% 19 bytes for Event3
type='cnt';
if nargin ==1
scan=0;
end
fid = fopen(filename,'r', 'l');
disp(['Loading file ' filename ' ...'])
h.rev = fread(fid,12,'char');
h.nextfile = fread(fid,1,'long');
h.prevfile = fread(fid,1,'ulong');
h.type = fread(fid,1,'char');
h.id = fread(fid,20,'char');
h.oper = fread(fid,20,'char');
h.doctor = fread(fid,20,'char');
h.referral = fread(fid,20,'char');
h.hospital = fread(fid,20,'char');
h.patient = fread(fid,20,'char');
h.age = fread(fid,1,'short');
h.sex = fread(fid,1,'char');
h.hand = fread(fid,1,'char');
h.med = fread(fid,20, 'char');
h.category = fread(fid,20, 'char');
h.state = fread(fid,20, 'char');
h.label = fread(fid,20, 'char');
h.date = fread(fid,10, 'char');
h.time = fread(fid,12, 'char');
h.mean_age = fread(fid,1,'float');
h.stdev = fread(fid,1,'float');
h.n = fread(fid,1,'short');
h.compfile = fread(fid,38,'char');
h.spectwincomp = fread(fid,1,'float');
h.meanaccuracy = fread(fid,1,'float');
h.meanlatency = fread(fid,1,'float');
h.sortfile = fread(fid,46,'char');
h.numevents = fread(fid,1,'int');
h.compoper = fread(fid,1,'char');
h.avgmode = fread(fid,1,'char');
h.review = fread(fid,1,'char');
h.nsweeps = fread(fid,1,'ushort');
h.compsweeps = fread(fid,1,'ushort');
h.acceptcnt = fread(fid,1,'ushort');
h.rejectcnt = fread(fid,1,'ushort');
h.pnts = fread(fid,1,'ushort');
h.nchannels = fread(fid,1,'ushort');
h.avgupdate = fread(fid,1,'ushort');
h.domain = fread(fid,1,'char');
h.variance = fread(fid,1,'char');
h.rate = fread(fid,1,'ushort'); % A USER CLAIMS THAT SAMPLING RATE CAN BE
h.scale = fread(fid,1,'double'); % FRACTIONAL IN NEUROSCAN WHICH IS
h.veogcorrect = fread(fid,1,'char'); % OBVIOUSLY NOT POSSIBLE HERE (BUG 606)
h.heogcorrect = fread(fid,1,'char');
h.aux1correct = fread(fid,1,'char');
h.aux2correct = fread(fid,1,'char');
h.veogtrig = fread(fid,1,'float');
h.heogtrig = fread(fid,1,'float');
h.aux1trig = fread(fid,1,'float');
h.aux2trig = fread(fid,1,'float');
h.heogchnl = fread(fid,1,'short');
h.veogchnl = fread(fid,1,'short');
h.aux1chnl = fread(fid,1,'short');
h.aux2chnl = fread(fid,1,'short');
h.veogdir = fread(fid,1,'char');
h.heogdir = fread(fid,1,'char');
h.aux1dir = fread(fid,1,'char');
h.aux2dir = fread(fid,1,'char');
h.veog_n = fread(fid,1,'short');
h.heog_n = fread(fid,1,'short');
h.aux1_n = fread(fid,1,'short');
h.aux2_n = fread(fid,1,'short');
h.veogmaxcnt = fread(fid,1,'short');
h.heogmaxcnt = fread(fid,1,'short');
h.aux1maxcnt = fread(fid,1,'short');
h.aux2maxcnt = fread(fid,1,'short');
h.veogmethod = fread(fid,1,'char');
h.heogmethod = fread(fid,1,'char');
h.aux1method = fread(fid,1,'char');
h.aux2method = fread(fid,1,'char');
h.ampsensitivity = fread(fid,1,'float');
h.lowpass = fread(fid,1,'char');
h.highpass = fread(fid,1,'char');
h.notch = fread(fid,1,'char');
h.autoclipadd = fread(fid,1,'char');
h.baseline = fread(fid,1,'char');
h.offstart = fread(fid,1,'float');
h.offstop = fread(fid,1,'float');
h.reject = fread(fid,1,'char');
h.rejstart = fread(fid,1,'float');
h.rejstop = fread(fid,1,'float');
h.rejmin = fread(fid,1,'float');
h.rejmax = fread(fid,1,'float');
h.trigtype = fread(fid,1,'char');
h.trigval = fread(fid,1,'float');
h.trigchnl = fread(fid,1,'char');
h.trigmask = fread(fid,1,'short');
h.trigisi = fread(fid,1,'float');
h.trigmin = fread(fid,1,'float');
h.trigmax = fread(fid,1,'float');
h.trigdir = fread(fid,1,'char');
h.autoscale = fread(fid,1,'char');
h.n2 = fread(fid,1,'short');
h.dir = fread(fid,1,'char');
h.dispmin = fread(fid,1,'float');
h.dispmax = fread(fid,1,'float');
h.xmin = fread(fid,1,'float');
h.xmax = fread(fid,1,'float');
h.automin = fread(fid,1,'float');
h.automax = fread(fid,1,'float');
h.zmin = fread(fid,1,'float');
h.zmax = fread(fid,1,'float');
h.lowcut = fread(fid,1,'float');
h.highcut = fread(fid,1,'float');
h.common = fread(fid,1,'char');
h.savemode = fread(fid,1,'char');
h.manmode = fread(fid,1,'char');
h.ref = fread(fid,10,'char');
h.rectify = fread(fid,1,'char');
h.displayxmin = fread(fid,1,'float');
h.displayxmax = fread(fid,1,'float');
h.phase = fread(fid,1,'char');
h.screen = fread(fid,16,'char');
h.calmode = fread(fid,1,'short');
h.calmethod = fread(fid,1,'short');
h.calupdate = fread(fid,1,'short');
h.calbaseline = fread(fid,1,'short');
h.calsweeps = fread(fid,1,'short');
h.calattenuator = fread(fid,1,'float');
h.calpulsevolt = fread(fid,1,'float');
h.calpulsestart = fread(fid,1,'float');
h.calpulsestop = fread(fid,1,'float');
h.calfreq = fread(fid,1,'float');
h.taskfile = fread(fid,34,'char');
h.seqfile = fread(fid,34,'char');
h.spectmethod = fread(fid,1,'char');
h.spectscaling = fread(fid,1,'char');
h.spectwindow = fread(fid,1,'char');
h.spectwinlength = fread(fid,1,'float');
h.spectorder = fread(fid,1,'char');
h.notchfilter = fread(fid,1,'char');
h.headgain = fread(fid,1,'short');
h.additionalfiles = fread(fid,1,'int');
h.unused = fread(fid,5,'char');
h.fspstopmethod = fread(fid,1,'short');
h.fspstopmode = fread(fid,1,'short');
h.fspfvalue = fread(fid,1,'float');
h.fsppoint = fread(fid,1,'short');
h.fspblocksize = fread(fid,1,'short');
h.fspp1 = fread(fid,1,'ushort');
h.fspp2 = fread(fid,1,'ushort');
h.fspalpha = fread(fid,1,'float');
h.fspnoise = fread(fid,1,'float');
h.fspv1 = fread(fid,1,'short');
h.montage = fread(fid,40,'char');
h.eventfile = fread(fid,40,'char');
h.fratio = fread(fid,1,'float');
h.minor_rev = fread(fid,1,'char');
h.eegupdate = fread(fid,1,'short');
h.compressed = fread(fid,1,'char');
h.xscale = fread(fid,1,'float');
h.yscale = fread(fid,1,'float');
h.xsize = fread(fid,1,'float');
h.ysize = fread(fid,1,'float');
h.acmode = fread(fid,1,'char');
h.commonchnl = fread(fid,1,'uchar');
h.xtics = fread(fid,1,'char');
h.xrange = fread(fid,1,'char');
h.ytics = fread(fid,1,'char');
h.yrange = fread(fid,1,'char');
h.xscalevalue = fread(fid,1,'float');
h.xscaleinterval = fread(fid,1,'float');
h.yscalevalue = fread(fid,1,'float');
h.yscaleinterval = fread(fid,1,'float');
h.scaletoolx1 = fread(fid,1,'float');
h.scaletooly1 = fread(fid,1,'float');
h.scaletoolx2 = fread(fid,1,'float');
h.scaletooly2 = fread(fid,1,'float');
h.port = fread(fid,1,'short');
h.numsamples = fread(fid,1,'ulong');
h.filterflag = fread(fid,1,'char');
h.lowcutoff = fread(fid,1,'float');
h.lowpoles = fread(fid,1,'short');
h.highcutoff = fread(fid,1,'float');
h.highpoles = fread(fid,1,'short');
h.filtertype = fread(fid,1,'char');
h.filterdomain = fread(fid,1,'char');
h.snrflag = fread(fid,1,'char');
h.coherenceflag = fread(fid,1,'char');
h.continuoustype = fread(fid,1,'char');
h.eventtablepos = fread(fid,1,'ulong');
h.continuousseconds = fread(fid,1,'float');
h.channeloffset = fread(fid,1,'long');
h.autocorrectflag = fread(fid,1,'char');
h.dcthreshold = fread(fid,1,'uchar');
for n = 1:h.nchannels
e(n).lab = deblank(char(fread(fid,10,'char')')); %#ok<*AGROW>
e(n).reference = fread(fid,1,'char');
e(n).skip = fread(fid,1,'char');
e(n).reject = fread(fid,1,'char');
e(n).display = fread(fid,1,'char');
e(n).bad = fread(fid,1,'char');
e(n).n = fread(fid,1,'ushort');
e(n).avg_reference = fread(fid,1,'char');
e(n).clipadd = fread(fid,1,'char');
e(n).x_coord = fread(fid,1,'float');
e(n).y_coord = fread(fid,1,'float');
e(n).veog_wt = fread(fid,1,'float');
e(n).veog_std = fread(fid,1,'float');
e(n).snr = fread(fid,1,'float');
e(n).heog_wt = fread(fid,1,'float');
e(n).heog_std = fread(fid,1,'float');
e(n).baseline = fread(fid,1,'short');
e(n).filtered = fread(fid,1,'char');
e(n).fsp = fread(fid,1,'char');
e(n).aux1_wt = fread(fid,1,'float');
e(n).aux1_std = fread(fid,1,'float');
e(n).senstivity = fread(fid,1,'float');
e(n).gain = fread(fid,1,'char');
e(n).hipass = fread(fid,1,'char');
e(n).lopass = fread(fid,1,'char');
e(n).page = fread(fid,1,'uchar');
e(n).size = fread(fid,1,'uchar');
e(n).impedance = fread(fid,1,'uchar');
e(n).physicalchnl = fread(fid,1,'uchar');
e(n).rectify = fread(fid,1,'char');
e(n).calib = fread(fid,1,'float');
end
% finding if 32-bits or 16-bits file
% ----------------------------------
begdata = ftell(fid);
if strcmpi(r.dataformat, 'auto')
r.dataformat = 'int16';
if (h.nextfile > 0)
fseek(fid,h.nextfile+52,'bof');
is32bit = fread(fid,1,'char');
if (is32bit == 1)
r.dataformat = 'int32';
end;
fseek(fid,begdata,'bof');
end;
end;
enddata = h.eventtablepos; % after data
if strcmpi(r.dataformat, 'int16')
nums = floor((enddata-begdata)/h.nchannels/2); % floor due to bug 1254
else
nums = floor((enddata-begdata)/h.nchannels/4);
end
% number of sample to read
% ------------------------
if ~isempty(r.sample1)
r.t1 = r.sample1/h.rate;
else
r.sample1 = r.t1*h.rate;
end;
if strcmpi(r.dataformat, 'int16')
startpos = r.t1*h.rate*2*h.nchannels;
else
startpos = r.t1*h.rate*4*h.nchannels;
end;
if isempty(r.ldnsamples)
if ~isempty(r.lddur)
r.ldnsamples = round(r.lddur*h.rate);
else
r.ldnsamples = nums;
end;
end;
% channel offset
% --------------
if ~isempty(r.blockread)
h.channeloffset = r.blockread;
end;
if h.channeloffset > 1
fprintf('WARNING: reading data in blocks of %d, if this fails, try using option "''blockread'', 1"\n', ...
h.channeloffset);
end;
disp('Reading data .....')
if type == 'cnt'
% while (ftell(fid) +1 < h.eventtablepos)
%d(:,i)=fread(fid,h.nchannels,'int16');
%end
fseek(fid, startpos, 0);
% **** This marks the beginning of the code modified for reading
% large .cnt files
% Switched to r.memmapfile for continuity. Check to see if the
% variable exists. If it does, then the user has indicated the
% file is too large to be processed in memory. If the variable
% is blank, the file is processed in memory.
if (~isempty(r.memmapfile))
% open a file for writing
foutid = fopen(r.memmapfile, 'w') ;
% This portion of the routine reads in a section of the EEG file
% and then writes it out to the harddisk.
samples_left = h.nchannels * r.ldnsamples ;
% the size of the data block to be read is limited to 4M
% samples. This equates to 16MB and 32MB of memory for
% 16 and 32 bit files, respectively.
data_block = 4000000 ;
max_rows = data_block / h.nchannels ;
%warning off ;
max_written = h.nchannels * uint32(max_rows) ;
%warning on ;
% This while look tracks the remaining samples. The
% data is processed in chunks rather than put into
% memory whole.
while (samples_left > 0)
% Check to see if the remaining data is smaller than
% the general processing block by looking at the
% remaining number of rows.
to_read = max_rows ;
if (data_block > samples_left)
to_read = samples_left / h.nchannels ;
end ;
% Read data in a relatively small chunk
temp_dat = fread(fid, [h.nchannels to_read], r.dataformat) ;
% The data is then scaled using the original routine.
% In the original routine, the entire data set was scaled
% after being read in. For this version, scaling occurs
% after every chunk is read.
if strcmpi(r.scale, 'on')
disp('Scaling data .....')
%%% scaling to microvolts
for i=1:h.nchannels
bas =e(i).baseline;
sen =e(i).senstivity;
cal =e(i).calib;
mf =sen*(cal/204.8);
temp_dat(i,:) =(temp_dat(i,:)-bas).*mf;
end
end
% Write out data in float32 form to the file name
% supplied by the user.
written = fwrite (foutid, temp_dat, 'float32') ;
if (written ~= max_written)
samples_left = 0 ;
else
samples_left = samples_left - written ;
end ;
end ;
fclose (foutid) ;
% Set the dat variable. This gets used later by other
% EEGLAB functions.
dat = r.memmapfile ;
% This variable tracks how the data should be read.
bReadIntoMemory = false ;
else
% The memmapfile variable is empty, read into memory.
bReadIntoMemory = true ;
end
% This ends the modifications made to read large files.
% Everything contained within the following if statement is the
% original code.
if (bReadIntoMemory == true)
if h.channeloffset <= 1
dat=fread(fid, [h.nchannels Inf], r.dataformat);
if size(dat,2) < r.ldnsamples
dat=single(dat);
r.ldnsamples = size(dat,2);
else
dat=single(dat(:,1:r.ldnsamples));
end;
else
h.channeloffset = h.channeloffset/2;
% reading data in blocks
dat = zeros( h.nchannels, r.ldnsamples, 'single');
dat(:, 1:h.channeloffset) = fread(fid, [h.channeloffset h.nchannels], r.dataformat)';
counter = 1;
while counter*h.channeloffset < r.ldnsamples
dat(:, counter*h.channeloffset+1:counter*h.channeloffset+h.channeloffset) = ...
fread(fid, [h.channeloffset h.nchannels], r.dataformat)';
counter = counter + 1;
end;
end ;
% ftell(fid)
if strcmpi(r.scale, 'on')
disp('Scaling data .....')
%%% scaling to microvolts
for i=1:h.nchannels
bas =e(i).baseline;
sen =e(i).senstivity;
cal =e(i).calib;
mf =sen*(cal/204.8);
dat(i,:) =(dat(i,:)-bas).*mf;
end % end for i=1:h.nchannels
end; % end if (strcmpi(r.scale, 'on')
end ;
ET_offset = (double(h.prevfile) * (2^32)) + double(h.eventtablepos); % prevfile contains high order bits of event table offset, eventtablepos contains the low order bits
fseek(fid, ET_offset, 'bof');
% disp('line 497');
% disp(ftell(fid));
disp('Reading Event Table...')
eT.teeg = fread(fid,1,'uchar');
eT.size = fread(fid,1,'ulong');
eT.offset = fread(fid,1,'ulong');
if eT.teeg==2
nevents=eT.size/sizeEvent2;
if nevents > 0
ev2(nevents).stimtype = [];
for i=1:nevents
ev2(i).stimtype = fread(fid,1,'ushort');
ev2(i).keyboard = fread(fid,1,'char');%all 0 Movement; 6 sneeze;1Blink;3 cough;8eye movent;4muscle;2talking;9hiccup;7swallow;5jaw
temp = fread(fid,1,'uint8');
ev2(i).keypad_accept = bitand(15,temp);
ev2(i).accept_ev1 = bitshift(temp,-4); % 12 13 14 for blockStart, blockEnd, and SS respectively
ev2(i).offset = fread(fid,1,'long');
ev2(i).type = fread(fid,1,'short');
ev2(i).code = fread(fid,1,'short');
ev2(i).latency = fread(fid,1,'float');
ev2(i).epochevent = fread(fid,1,'char');
ev2(i).accept = fread(fid,1,'char');
ev2(i).accuracy = fread(fid,1,'char');
end
else
ev2 = [];
end;
elseif eT.teeg==3 % type 3 is similar to type 2 except the offset field encodes the global sample frame
nevents=eT.size/sizeEvent3;
if nevents > 0
ev2(nevents).stimtype = [];
if r.dataformat == 'int32'
bytes_per_samp = 4; % I only have 32 bit data, unable to check whether this is necessary,
else % perhaps there is no type 3 file with 16 bit data
bytes_per_samp = 2;
end
for i=1:nevents
ev2(i).stimtype = fread(fid,1,'ushort');
ev2(i).keyboard = fread(fid,1,'char');
temp = fread(fid,1,'uint8');
ev2(i).keypad_accept = bitand(15,temp);
ev2(i).accept_ev1 = bitshift(temp,-4);
os = fread(fid,1,'ulong');
ev2(i).offset = os * bytes_per_samp * h.nchannels;
ev2(i).type = fread(fid,1,'short');
ev2(i).code = fread(fid,1,'short');
ev2(i).latency = fread(fid,1,'float');
ev2(i).epochevent = fread(fid,1,'char');
ev2(i).accept = fread(fid,1,'char');
ev2(i).accuracy = fread(fid,1,'char');
end
else
ev2 = [];
end;
elseif eT.teeg==1
nevents=eT.size/sizeEvent1;
if nevents > 0
ev2(nevents).stimtype = [];
for i=1:nevents
ev2(i).stimtype = fread(fid,1,'ushort');
ev2(i).keyboard = fread(fid,1,'char');
% modified by Andreas Widmann 2005/05/12 14:15:00
%ev2(i).keypad_accept = fread(fid,1,'char');
temp = fread(fid,1,'uint8');
ev2(i).keypad_accept = bitand(15,temp);
ev2(i).accept_ev1 = bitshift(temp,-4);
% end modification
ev2(i).offset = fread(fid,1,'long');
end;
else
ev2 = [];
end;
else
disp('Skipping event table (tag != 1,2,3 ; theoritically impossible)');
ev2 = [];
end
fseek(fid, -1, 'eof');
t = fread(fid,'char');
f.header = h;
f.electloc = e;
f.data = dat;
f.Teeg = eT;
f.event = ev2;
f.tag=t;
% Surgical addition of number of samples
f.ldnsamples = r.ldnsamples ;
%%%% channels labels
for i=1:h.nchannels
plab=sprintf('%c',f.electloc(i).lab);
if i>1
lab=str2mat(lab,plab);
else
lab=plab;
end
end
%%%% to change offest in bytes to points
if ~isempty(ev2)
if r.sample1 ~= 0
fprintf(2,'Warning: events imported with a time shift might be innacurate\n');
end;
ev2p=ev2;
ioff=900+(h.nchannels*75); %% initial offset : header + electordes desc
if strcmpi(r.dataformat, 'int16')
for i=1:nevents
ev2p(i).offset=(ev2p(i).offset-ioff)/(2*h.nchannels) - r.sample1; %% 2 short int end
end
else % 32 bits
for i=1:nevents
ev2p(i).offset=(ev2p(i).offset-ioff)/(4*h.nchannels) - r.sample1; %% 4 short int end
end
end;
f.event = ev2p;
end;
frewind(fid);
fclose(fid);
%---------- added by Yang Zhang to correct the error in reading cnt data-------/%
if r.autoNsamples
lastNormalBin = find((max(abs(f.data),[],1)>10000),1,'first');
if ~isempty(lastNormalBin)
if exist('ev2p','var')
if ev2p(end).offset > lastNormalBin
error('There is a event located later than the lastNoral Data bin....');
end
end
% disp([lastNormalBin, size(f.data,2)]);
f.data(:,lastNormalBin+1:end)=[];
f.ldnsamples = size(f.data,2);
end
end
%------------------------------------------------------------------------------\%
end