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ft_filetype.m
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function [type] = ft_filetype(filename, desired, varargin)
% FT_FILETYPE determines the filetype of many EEG/MEG/MRI data files by
% looking at the name, extension and optionally (part of) its contents.
% It tries to determine the global type of file (which usually
% corresponds to the manufacturer, the recording system or to the
% software used to create the file) and the particular subtype (e.g.
% continuous, average).
%
% Use as
% type = ft_filetype(filename)
% type = ft_filetype(dirname)
%
% This gives you a descriptive string with the data type, and can be
% used in a switch-statement. The descriptive string that is returned
% usually is something like 'XXX_YYY'/ where XXX refers to the
% manufacturer and YYY to the type of the data.
%
% Alternatively, use as
% flag = ft_filetype(filename, type)
% flag = ft_filetype(dirname, type)
% This gives you a boolean flag (0 or 1) indicating whether the file
% is of the desired type, and can be used to check whether the
% user-supplied file is what your subsequent code expects.
%
% Alternatively, use as
% flag = ft_filetype(dirlist, type)
% where the dirlist contains a list of files contained within one
% directory. This gives you a boolean vector indicating for each file
% whether it is of the desired type.
%
% Most filetypes of the following manufacturers and/or software programs are recognized
% - 4D/BTi
% - AFNI
% - ASA
% - Analyse
% - Analyze/SPM
% - BESA
% - Bioimage Suite *.mgrid
% - BrainSuite
% - BrainVisa
% - BrainVision
% - Curry
% - Dataq
% - EDF
% - EEProbe
% - Elektra/Neuromag
% - EEGsynth *.tsv
% - FreeSurfer
% - LORETA
% - Localite
% - MINC
% - Neuralynx
% - Neuroscan
% - Nihon Koden *.m00
% - OpenVibe MATLAB files *.mat
% - Plexon
% - SR Research Eyelink
% - SensoMotoric Instruments (SMI) *.txt
% - Tobii *.tsv
% - Stanford *.ply
% - Tucker Davis Technology
% - CTF
% - Yokogawa & Ricoh
% - nifti, gifti
% - Nicolet *.e (currently from Natus, formerly Carefusion, Viasys and Taugagreining. Also known as Oxford/Teca/Medelec Valor Nervus)
% - Biopac *.acq
% - AnyWave *.ades
% - Qualisys *.tsv
% - Mrtrix *.mif
% - MAUS *.TextGrid
% - Neurodata Without Borders *.nwb
% - PhysioNet *.hea and *.dat
% - NIRx *.tpl, *.wl1 and *.wl2
% - York Instruments *.meghdf5
% Copyright (C) 2003-2024, 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 for speeding up subsequent calls with the same input arguments
persistent previous_argin previous_argout previous_pwd
if nargin<2
% ensure that all input arguments are defined
desired = [];
end
current_argin = {filename, desired, varargin{:}};
current_pwd = pwd;
if isequal(current_argin, previous_argin) && isequal(current_pwd, previous_pwd)
% don't do the detection again, but return the previous value from cache
type = previous_argout{1};
return
end
if isa(filename, 'memmapfile')
filename = filename.Filename;
end
% % get the optional arguments
% checkheader = ft_getopt(varargin, 'checkheader', true);
%
% if ~checkheader
% % assume that the header is always ok, e.g when the file does not yet exist
% % this replaces the normal function with a function that always returns true
% filetype_check_header = @filetype_true;
% end
if iscell(filename)
if ~isempty(desired)
% perform the test for each filename, return a boolean vector
type = false(size(filename));
else
% return a string with the type for each filename
type = cell(size(filename));
end
for i=1:length(filename)
if strcmp(filename{i}(end), '.')
% do not recurse into this directory or the parent directory
continue
else
if iscell(type)
type{i} = ft_filetype(filename{i}, desired);
else
type(i) = ft_filetype(filename{i}, desired);
end
end
end
return
end
% start with unknown values
type = 'unknown';
manufacturer = 'unknown';
content = 'unknown';
if isempty(filename)
if isempty(desired)
% return the "unknown" outputs
return
else
% return that it is a non-match
type = false;
return
end
end
% some of the code does not work well on matlab strings, (i.e. "" vs ''),
% specifically ["a" "b"] yields something different than ['a' 'b'].
if isstring(filename)
filename = char(filename);
end
% the parts of the filename are used further down
if isfolder(filename)
[p, f, x] = fileparts(filename);
p = filename; % the full path to the directory name
d = f; % the last part of the directory name
f = '';
x = '';
else
[p, f, x] = fileparts(filename);
end
% prevent this test if the filename resembles an URI, i.e. like "scheme://"
if ~contains(filename , '://') && isfolder(filename)
% the directory listing is needed below
ls = dir(filename);
% remove the parent directory and the directory itself from the list
ls = ls(~strcmp({ls.name}, '.'));
ls = ls(~strcmp({ls.name}, '..'));
for i=1:length(ls)
% make sure that the directory listing includes the complete path
ls(i).name = fullfile(filename, ls(i).name);
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% start determining the filetype
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% this checks for a compressed file (of arbitrary type)
if filetype_check_extension(filename, 'zip')...
|| (filetype_check_extension(filename, '.gz') && ~filetype_check_extension(filename, '.nii.gz'))...
|| filetype_check_extension(filename, 'tgz')...
|| filetype_check_extension(filename, 'tar')
type = 'compressed';
manufacturer = 'undefined';
content = 'unknown, extract first';
% these are some streams for asynchronous BCI
elseif filetype_check_uri(filename, 'fifo')
type = 'fcdc_fifo';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'stream';
elseif filetype_check_uri(filename, 'buffer')
type = 'fcdc_buffer';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'stream';
elseif filetype_check_uri(filename, 'mysql')
type = 'fcdc_mysql';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'stream';
elseif filetype_check_uri(filename, 'tcp')
type = 'fcdc_tcp';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'stream';
elseif filetype_check_uri(filename, 'udp')
type = 'fcdc_udp';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'stream';
elseif filetype_check_uri(filename, 'rfb')
type = 'fcdc_rfb';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'stream';
elseif filetype_check_uri(filename, 'serial')
type = 'fcdc_serial';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'stream';
elseif filetype_check_uri(filename, 'global')
type = 'fcdc_global';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'global variable';
elseif filetype_check_uri(filename, 'shm')
type = 'ctf_shm';
manufacturer = 'CTF';
content = 'real-time shared memory buffer';
elseif filetype_check_uri(filename, 'empty')
type = 'empty';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = '/dev/null';
% known CTF file types
elseif isfolder(filename) && filetype_check_extension(filename, '.ds') && exist(fullfile(filename, [f '.res4']), 'file')
type = 'ctf_ds';
manufacturer = 'CTF';
content = 'MEG dataset';
elseif isfolder(filename) && ~isempty(dir(fullfile(filename, '*.res4'))) && ~isempty(dir(fullfile(filename, '*.meg4')))
type = 'ctf_ds';
manufacturer = 'CTF';
content = 'MEG dataset';
elseif filetype_check_extension(filename, '.res4') && (filetype_check_header(filename, 'MEG41RS') || filetype_check_header(filename, 'MEG42RS') || filetype_check_header(filename, 'MEG4RES') || filetype_check_header(filename, 'MEG3RES')) %'MEG3RES' pertains to ctf64.ds
type = 'ctf_res4';
manufacturer = 'CTF';
content = 'MEG/EEG header information';
elseif filetype_check_extension(filename, '.meg4') && (filetype_check_header(filename, 'MEG41CP') || filetype_check_header(filename, 'MEG4CPT')) %'MEG4CPT' pertains to ctf64.ds
type = 'ctf_meg4';
manufacturer = 'CTF';
content = 'MEG/EEG';
elseif strcmp(f, 'MarkerFile') && filetype_check_extension(filename, '.mrk') && filetype_check_header(filename, 'PATH OF DATASET:')
type = 'ctf_mrk';
manufacturer = 'CTF';
content = 'marker file';
elseif filetype_check_extension(filename, '.mri') && filetype_check_header(filename, 'CTF_MRI_FORMAT VER 2.2')
type = 'ctf_mri';
manufacturer = 'CTF';
content = 'MRI';
elseif filetype_check_extension(filename, '.mri') && filetype_check_header(filename, 'CTF_MRI_FORMAT VER 4', 31)
type = 'ctf_mri4';
manufacturer = 'CTF';
content = 'MRI';
elseif filetype_check_extension(filename, '.hdm')
type = 'ctf_hdm';
manufacturer = 'CTF';
content = 'volume conduction model';
elseif filetype_check_extension(filename, '.hc')
type = 'ctf_hc';
manufacturer = 'CTF';
content = 'headcoil locations';
elseif filetype_check_extension(filename, '.shape')
type = 'ctf_shape';
manufacturer = 'CTF';
content = 'headshape points';
elseif filetype_check_extension(filename, '.shape_info')
type = 'ctf_shapeinfo';
manufacturer = 'CTF';
content = 'headshape information';
elseif filetype_check_extension(filename, '.wts')
type = 'ctf_wts';
manufacturer = 'CTF';
content = 'SAM coefficients, i.e. spatial filter weights';
elseif filetype_check_extension(filename, '.svl')
type = 'ctf_svl';
manufacturer = 'CTF';
content = 'SAM (pseudo-)statistic volumes';
% known Micromed file types
elseif filetype_check_extension(filename, '.trc') && filetype_check_header(filename, '* MICROMED')
type = 'micromed_trc';
manufacturer = 'Micromed';
content = 'Electrophysiological data';
% known Neuromag file types
elseif filetype_check_extension(filename, '.fif')
type = 'neuromag_fif';
manufacturer = 'Neuromag';
content = 'MEG header and data';
elseif filetype_check_extension(filename, '.mesh')
type = 'neuromag_mesh';
manufacturer = 'Neuromag';
content = 'triangulated surface mesh';
elseif filetype_check_extension(filename, '.bdip')
type = 'neuromag_bdip';
manufacturer = 'Neuromag';
content = 'dipole model';
elseif filetype_check_extension(filename, '.eve') && exist(fullfile(p, [f '.fif']), 'file')
type = 'neuromag_eve'; % these are being used by Tristan Technologies for the BabySQUID system
manufacturer = 'Neuromag';
content = 'events';
elseif filetype_check_extension(filename, '.log') && filetype_check_header(filename, '*** This is Elekta Neuromag MaxFilter', 61)
type = 'neuromag_maxfilterlog';
manufacturer = 'Neuromag';
content = 'MaxFilter log information';
elseif filetype_check_extension(filename, '.pos') && filetype_check_header(filename, ' Time q1 ', 0)
type = 'neuromag_headpos';
manufacturer = 'Neuromag';
content = 'MaxFilter head position information';
elseif filetype_check_extension(filename, '.iso') && filetype_check_header(filename, char([0 0 0 100]))
type = 'neuromag_iso';
manufacturer = 'Neuromag';
content = 'Isotrack digitizer points';
elseif strcmp(filename, 'sss_cal.dat')
type = 'neuromag_cal';
manufacturer = 'Neuromag';
content = 'Fine calibration';
% known Yokogawa & Ricoh file types
elseif filetype_check_extension(filename, '.ave') || filetype_check_extension(filename, '.sqd')
if ~isricohmegfile(filename)
type = 'yokogawa_ave';
manufacturer = 'Yokogawa';
content = 'averaged MEG data';
else
type = 'ricoh_ave';
manufacturer = 'Ricoh';
content = 'averaged MEG data';
end
elseif filetype_check_extension(filename, '.con')
if ~isricohmegfile(filename)
type = 'yokogawa_con';
manufacturer = 'Yokogawa';
content = 'continuous MEG data';
else
type = 'ricoh_con';
manufacturer = 'Ricoh';
content = 'continuous MEG data';
end
elseif filetype_check_extension(filename, '.raw') && filetype_check_header(filename, char([0 0 0 0])) % FIXME, this detection should possibly be improved
type = 'yokogawa_raw';
manufacturer = 'Yokogawa';
content = 'evoked/trialbased MEG data';
elseif filetype_check_extension(filename, '.mrk') && filetype_check_header(filename, char([0 0 0 0])) % FIXME, this detection should possibly be improved
if ~isricohmegfile(filename)
type = 'yokogawa_mrk';
manufacturer = 'Yokogawa';
content = 'headcoil locations';
else
type = 'ricoh_mrk';
manufacturer = 'Ricoh';
content = 'headcoil locations';
end
elseif filetype_check_extension(filename, '.txt') && numel(strfind(filename,'-coregis')) == 1
type = 'yokogawa_coregis';
manufacturer = 'Yokogawa';
content = 'exported fiducials';
elseif filetype_check_extension(filename, '.txt') && numel(strfind(filename,'-calib')) == 1
type = 'yokogawa_calib';
manufacturer = 'Yokogawa';
elseif filetype_check_extension(filename, '.txt') && numel(strfind(filename,'-channel')) == 1
type = 'yokogawa_channel';
manufacturer = 'Yokogawa';
elseif filetype_check_extension(filename, '.txt') && numel(strfind(filename,'-property')) == 1
type = 'yokogawa_property';
manufacturer = 'Yokogawa';
elseif filetype_check_extension(filename, '.txt') && numel(strfind(filename,'-TextData')) == 1
type = 'yokogawa_textdata';
manufacturer = 'Yokogawa';
elseif filetype_check_extension(filename, '.txt') && numel(strfind(filename,'-FLL')) == 1
type = 'yokogawa_fll';
manufacturer = 'Yokogawa';
elseif filetype_check_extension(filename, '.hsp')
type = 'yokogawa_hsp';
manufacturer = 'Yokogawa';
% Neurosim files; this has to go before the 4D detection
elseif ~isfolder(filename) && (strcmp(f,'spikes') || filetype_check_header(filename,'# Spike information'))
type = 'neurosim_spikes';
manufacturer = 'Jan van der Eerden (DCCN)';
content = 'simulated spikes';
elseif ~isfolder(filename) && (strcmp(f,'evolution') || filetype_check_header(filename,'# Voltages'))
type = 'neurosim_evolution';
manufacturer = 'Jan van der Eerden (DCCN)';
content = 'simulated membrane voltages and currents';
elseif ~isfolder(filename) && (strcmp(f,'signals') || filetype_check_header(filename,'# Internal',2))
type = 'neurosim_signals';
manufacturer = 'Jan van der Eerden (DCCN)';
content = 'simulated network signals';
elseif isfolder(filename) && exist(fullfile(filename, 'signals'), 'file') && exist(fullfile(filename, 'spikes'), 'file')
type = 'neurosim_ds';
manufacturer = 'Jan van der Eerden (DCCN)';
content = 'simulated spikes and continuous signals';
% known 4D/BTI file types
elseif filetype_check_extension(filename, '.pdf') && filetype_check_header(filename, 'E|lk') % I am not sure whether this header always applies
type = '4d_pdf';
manufacturer = '4D/BTI';
content = 'raw MEG data (processed data file)';
elseif exist([filename '.m4d'], 'file') && exist([filename '.xyz'], 'file') % these two ascii header files accompany the raw data
type = '4d_pdf';
manufacturer = '4D/BTI';
content = 'raw MEG data (processed data file)';
elseif filetype_check_extension(filename, '.m4d') && exist([filename(1:(end-3)) 'xyz'], 'file') % these come in pairs
type = '4d_m4d';
manufacturer = '4D/BTI';
content = 'MEG header information';
elseif filetype_check_extension(filename, '.xyz') && exist([filename(1:(end-3)) 'm4d'], 'file') % these come in pairs
type = '4d_xyz';
manufacturer = '4D/BTI';
content = 'MEG sensor positions';
elseif isequal(f, 'hs_file') % the filename is "hs_file"
type = '4d_hs';
manufacturer = '4D/BTI';
content = 'head shape';
elseif length(filename)>=4 && contains(filename,',rf')
type = '4d';
manufacturer = '4D/BTi';
content = '';
elseif filetype_check_extension(filename, '.el.ascii') && filetype_check_ascii(filename, 20) % assume that there are at least 20 bytes in the file, the example one has 4277 bytes
type = '4d_el_ascii';
manufacturer = '4D/BTi';
content = 'electrode positions';
% known EEProbe file types
elseif filetype_check_extension(filename, '.cnt') && (filetype_check_header(filename, 'RIFF') || filetype_check_header(filename, 'RF64'))
type = 'eep_cnt';
manufacturer = 'EEProbe';
content = 'EEG';
elseif filetype_check_extension(filename, '.avr') && filetype_check_header(filename, char([38 0 16 0]))
type = 'eep_avr';
manufacturer = 'EEProbe';
content = 'ERP';
elseif filetype_check_extension(filename, '.trg')
type = 'eep_trg';
manufacturer = 'EEProbe';
content = 'trigger information';
elseif filetype_check_extension(filename, '.rej')
type = 'eep_rej';
manufacturer = 'EEProbe';
content = 'rejection marks';
% the yokogawa_mri has to be checked prior to asa_mri, because this one is more strict
elseif filetype_check_extension(filename, '.mri') && filetype_check_header(filename, char(0)) % FIXME, this detection should possibly be improved
type = 'yokogawa_mri';
manufacturer = 'Yokogawa';
content = 'anatomical MRI';
% known ASA file types
elseif filetype_check_extension(filename, '.elc')
type = 'asa_elc';
manufacturer = 'ASA';
content = 'electrode positions';
elseif filetype_check_extension(filename, '.vol')
type = 'asa_vol';
manufacturer = 'ASA';
content = 'volume conduction model';
elseif filetype_check_extension(filename, '.bnd')
type = 'asa_bnd';
manufacturer = 'ASA';
content = 'boundary element model details';
elseif filetype_check_extension(filename, '.msm')
type = 'asa_msm';
manufacturer = 'ASA';
content = 'ERP';
elseif filetype_check_extension(filename, '.msr')
type = 'asa_msr';
manufacturer = 'ASA';
content = 'ERP';
elseif filetype_check_extension(filename, '.dip')
% FIXME, can also be CTF dipole file
type = 'asa_dip';
manufacturer = 'ASA';
elseif filetype_check_extension(filename, '.mri')
% FIXME, can also be CTF mri file
type = 'asa_mri';
manufacturer = 'ASA';
content = 'MRI image header';
elseif filetype_check_extension(filename, '.iso') && ~filetype_check_header(filename, char([0 0 0 100]))
type = 'asa_iso';
manufacturer = 'ASA';
content = 'MRI image data';
% known BCI2000 file types
elseif filetype_check_extension(filename, '.dat') && (filetype_check_header(filename, 'BCI2000') || filetype_check_header(filename, 'HeaderLen='))
type = 'bci2000_dat';
manufacturer = 'BCI2000';
content = 'continuous EEG';
% known Neuroscan file types
elseif filetype_check_extension(filename, '.avg') && filetype_check_header(filename, 'Version 3.0')
type = 'ns_avg';
manufacturer = 'Neuroscan';
content = 'averaged EEG';
elseif filetype_check_extension(filename, '.cnt') && filetype_check_header(filename, 'Version 3.0')
type = 'ns_cnt';
manufacturer = 'Neuroscan';
content = 'continuous EEG';
elseif filetype_check_extension(filename, '.eeg') && filetype_check_header(filename, 'Version 3.0')
type = 'ns_eeg';
manufacturer = 'Neuroscan';
content = 'epoched EEG';
elseif filetype_check_extension(filename, '.eeg') && filetype_check_header(filename, 'V3.0')
type = 'neuroprax_eeg';
manufacturer = 'eldith GmbH';
content = 'continuous EEG';
elseif filetype_check_extension(filename, '.ee_')
type = 'neuroprax_mrk';
manufacturer = 'eldith GmbH';
content = 'EEG markers';
% known Analyze & SPM file types
elseif filetype_check_extension(filename, '.hdr')
type = 'analyze_hdr';
manufacturer = 'Mayo Analyze';
content = 'PET/MRI image header';
elseif filetype_check_extension(filename, '.img')
type = 'analyze_img';
manufacturer = 'Mayo Analyze';
content = 'PET/MRI image data';
elseif filetype_check_extension(filename, '.mnc')
type = 'minc';
content = 'MRI image data';
elseif filetype_check_extension(filename, '.nii') && filetype_check_header(filename, {[92 1 0 0], [0 0 1 92]}) % header starts with the number 348
type = 'nifti';
content = 'MRI image data';
elseif filetype_check_extension(filename, '.nii') && filetype_check_header(filename, {[28 2 0 0], [0 0 2 28]}) % header starts with the number 540
type = 'nifti2';
content = 'MRI image data';
% known FSL file types
elseif filetype_check_extension(filename, '.nii.gz')
type = 'nifti_gz';
content = 'MRI image data';
% known LORETA file types
elseif filetype_check_extension(filename, '.lorb')
type = 'loreta_lorb';
manufacturer = 'old LORETA';
content = 'source reconstruction';
elseif filetype_check_extension(filename, '.slor')
type = 'loreta_slor';
manufacturer = 'sLORETA';
content = 'source reconstruction';
% known AFNI file types
elseif filetype_check_extension(lower(filename), '.brik')
type = 'afni_brik';
content = 'MRI image data';
elseif filetype_check_extension(lower(filename), '.head')
type = 'afni_head';
content = 'MRI header data';
% known BrainVison file types
elseif filetype_check_extension(filename, '.vhdr')
type = 'brainvision_vhdr';
manufacturer = 'BrainProducts';
content = 'EEG header';
elseif filetype_check_extension(filename, '.vmrk')
type = 'brainvision_vmrk';
manufacturer = 'BrainProducts';
content = 'EEG markers';
elseif filetype_check_extension(filename, '.vabs')
type = 'brainvision_vabs';
manufacturer = 'BrainProducts';
content = 'Brain Vison Analyzer macro';
elseif filetype_check_extension(filename, '.eeg') && exist(fullfile(p, [f '.vhdr']), 'file')
type = 'brainvision_eeg';
manufacturer = 'BrainProducts';
content = 'continuous EEG data';
elseif filetype_check_extension(filename, '.seg')
type = 'brainvision_seg';
manufacturer = 'BrainProducts';
content = 'segmented EEG data';
elseif filetype_check_extension(filename, '.dat') && exist(fullfile(p, [f '.vhdr']), 'file') &&...
~filetype_check_header(filename, 'HeaderLen=') && ~filetype_check_header(filename, 'BESA_SA_IMAGE') &&...
~(exist(fullfile(p, [f '.gen']), 'file') || exist(fullfile(p, [f '.generic']), 'file'))
% WARNING this is a very general name, it could be exported BrainVision
% data but also a BESA beamformer source reconstruction or BCI2000
type = 'brainvision_dat';
manufacturer = 'BrainProducts';
content = 'exported EEG data';
elseif filetype_check_extension(filename, '.marker')
type = 'brainvision_marker';
manufacturer = 'BrainProducts';
content = 'rejection markers';
% known Polhemus file types
elseif filetype_check_extension(filename, '.pos')
type = 'polhemus_pos';
manufacturer = 'BrainProducts/CTF/Polhemus?'; % actually I don't know whose software it is
content = 'electrode positions';
elseif filetype_check_extension(filename, '.txt') && filetype_header_contains(filename, 'FastSCAN', 300)
type = 'fastscan_txt';
manufacturer = 'Polhemus FastSCAN';
content = 'headshape points';
% known Blackrock Microsystems file types
elseif strncmp(x,'.ns',3) && (filetype_check_header(filename, 'NEURALCD') || filetype_check_header(filename, 'NEURALSG'))
type = 'blackrock_nsx';
manufacturer = 'Blackrock Microsystems';
content = 'conintuously sampled data';
elseif filetype_check_extension(filename, '.nev') && filetype_check_header(filename, 'NEURALEV')
type = 'blackrock_nev';
manufacturer = 'Blackrock Microsystems';
contenct = 'extracellular electrode spike information';
% known Neuralynx file types
elseif filetype_check_extension(filename, '.nev') || filetype_check_extension(filename, '.Nev')
type = 'neuralynx_nev';
manufacturer = 'Neuralynx';
content = 'event information';
elseif filetype_check_extension(filename, '.ncs') && filetype_check_header(filename, '####')
type = 'neuralynx_ncs';
manufacturer = 'Neuralynx';
content = 'continuous single channel recordings';
elseif filetype_check_extension(filename, '.nse') && filetype_check_header(filename, '####')
type = 'neuralynx_nse';
manufacturer = 'Neuralynx';
content = 'spike waveforms';
elseif filetype_check_extension(filename, '.nts') && filetype_check_header(filename, '####')
type = 'neuralynx_nts';
manufacturer = 'Neuralynx';
content = 'timestamps only';
elseif filetype_check_extension(filename, '.nvt')
type = 'neuralynx_nvt';
manufacturer = 'Neuralynx';
content = 'video tracker';
elseif filetype_check_extension(filename, '.nst')
type = 'neuralynx_nst';
manufacturer = 'Neuralynx';
content = 'continuous stereotrode recordings';
elseif filetype_check_extension(filename, '.ntt')
type = 'neuralynx_ntt';
manufacturer = 'Neuralynx';
content = 'continuous tetrode recordings';
elseif strcmpi(f, 'logfile') && strcmpi(x, '.txt') % case insensitive
type = 'neuralynx_log';
manufacturer = 'Neuralynx';
content = 'log information in ASCII format';
elseif contains(lower(f), 'dma') && strcmpi(x, '.log') % this is not a very strong detection
type = 'neuralynx_dma';
manufacturer = 'Neuralynx';
content = 'raw aplifier data directly from DMA';
elseif filetype_check_extension(filename, '.nrd') % see also above, since Cheetah 5.x the file extension has changed
type = 'neuralynx_dma';
manufacturer = 'Neuralynx';
content = 'raw aplifier data directly from DMA';
elseif isfolder(filename) && (any(filetype_check_extension({ls.name}, '.nev')) || any(filetype_check_extension({ls.name}, '.Nev')))
% a regular Neuralynx dataset directory that contains an event file
type = 'neuralynx_ds';
manufacturer = 'Neuralynx';
content = 'dataset';
elseif isfolder(filename) && most(filetype_check_extension({ls.name}, '.ncs'))
% a directory containing continuously sampled channels in Neuralynx format
type = 'neuralynx_ds';
manufacturer = 'Neuralynx';
content = 'continuously sampled channels';
elseif isfolder(filename) && most(filetype_check_extension({ls.name}, '.nse'))
% a directory containing spike waveforms in Neuralynx format
type = 'neuralynx_ds';
manufacturer = 'Neuralynx';
content = 'spike waveforms';
elseif isfolder(filename) && most(filetype_check_extension({ls.name}, '.nte'))
% a directory containing spike timestamps in Neuralynx format
type = 'neuralynx_ds';
manufacturer = 'Neuralynx';
content = 'spike timestamps';
elseif isfolder(filename) && most(filetype_check_extension({ls.name}, '.ntt'))
% a directory containing tetrode recordings in Neuralynx format
type = 'neuralynx_ds';
manufacturer = 'Neuralynx';
content = 'tetrode recordings ';
elseif filetype_check_extension(filename, '.mat') && contains(filename, 'times_')
type = 'wave_clus';
manufacturer = 'Department of Engineering, University of Leicester, UK';
content = 'sorted spikes';
elseif isfolder(p) && exist(fullfile(p, 'header'), 'file') && exist(fullfile(p, 'samples'), 'file') && exist(fullfile(p, 'events'), 'file')
type = 'fcdc_buffer_offline';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'FieldTrip buffer offline dataset';
elseif isfolder(filename) && exist(fullfile(filename, 'info.xml'), 'file') && exist(fullfile(filename, 'signal1.bin'), 'file')
% this is an OS X package directory representing a complete EEG dataset
% it contains a Content file, multiple xml files and one or more signalN.bin files
type = 'egi_mff';
manufacturer = 'Electrical Geodesics Incorporated';
content = 'raw EEG data';
elseif ~isfolder(filename) && isfolder(p) && exist(fullfile(p, 'info.xml'), 'file') && exist(fullfile(p, 'signal1.bin'), 'file')
% the file that the user specified is one of the files in an mff package directory
type = 'egi_mff';
manufacturer = 'Electrical Geodesics Incorporated';
content = 'raw EEG data';
% these are formally not Neuralynx file formats, but at the FCDC we use them together with Neuralynx
elseif isfolder(filename) && filetype_check_neuralynx_cds(filename)
% a downsampled Neuralynx DMA file can be split into three separate lfp/mua/spike directories
% treat them as one combined dataset
type = 'neuralynx_cds';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'dataset containing separate lfp/mua/spike directories';
elseif filetype_check_extension(filename, '.tsl') && filetype_check_header(filename, 'tsl')
type = 'neuralynx_tsl';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'timestamps from DMA log file';
elseif filetype_check_extension(filename, '.tsh') && filetype_check_header(filename, 'tsh')
type = 'neuralynx_tsh';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'timestamps from DMA log file';
elseif filetype_check_extension(filename, '.ttl') && filetype_check_header(filename, 'ttl')
type = 'neuralynx_ttl';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'Parallel_in from DMA log file';
elseif filetype_check_extension(filename, '.bin') && filetype_check_header(filename, {'uint8', 'uint16', 'uint32', 'int8', 'int16', 'int32', 'int64', 'float32', 'float64'})
type = 'neuralynx_bin';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'single channel continuous data';
elseif isfolder(filename) && any(filetype_check_extension({ls.name}, '.ttl')) && any(filetype_check_extension({ls.name}, '.tsl')) && any(filetype_check_extension({ls.name}, '.tsh'))
% a directory containing the split channels from a DMA logfile
type = 'neuralynx_sdma';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'split DMA log file';
elseif isfolder(filename) && filetype_check_extension(filename, '.sdma')
% a directory containing the split channels from a DMA logfile
type = 'neuralynx_sdma';
manufacturer = 'Donders Centre for Cognitive Neuroimaging';
content = 'split DMA log file';
% known Plexon file types
elseif filetype_check_extension(filename, '.nex') && filetype_check_header(filename, 'NEX1')
type = 'plexon_nex';
manufacturer = 'Plexon';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.plx') && filetype_check_header(filename, 'PLEX')
type = 'plexon_plx';
manufacturer = 'Plexon';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.ddt')
type = 'plexon_ddt';
manufacturer = 'Plexon';
elseif isfolder(filename) && most(filetype_check_extension({ls.name}, '.nex')) && most(filetype_check_header({ls.name}, 'NEX1'))
% a directory containing multiple plexon NEX files
type = 'plexon_ds';
manufacturer = 'Plexon';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.nex5') && filetype_check_header(filename, 'NEX5')
type = 'plexon_nex5';
manufacturer = 'Nex Technologies';
content = 'electrophysiological data';
% known Cambridge Electronic Design file types
elseif filetype_check_extension(filename, '.smr')
type = 'ced_son';
manufacturer = 'Cambridge Electronic Design';
content = 'Spike2 SON filing system';
% known BESA file types
elseif filetype_check_extension(filename, '.avr') && strcmp(type, 'unknown')
type = 'besa_avr'; % FIXME, can also be EEProbe average EEG
manufacturer = 'BESA';
content = 'average EEG';
elseif filetype_check_extension(filename, '.elp')
type = 'besa_elp';
manufacturer = 'BESA';
content = 'electrode positions';
elseif filetype_check_extension(filename, '.eps')
type = 'besa_eps';
manufacturer = 'BESA';
content = 'digitizer information';
elseif filetype_check_extension(filename, '.sfp')
type = 'besa_sfp';
manufacturer = 'BESA';
content = 'sensor positions';
elseif filetype_check_extension(filename, '.ela')
type = 'besa_ela';
manufacturer = 'BESA';
content = 'sensor information';
elseif filetype_check_extension(filename, '.pdg')
type = 'besa_pdg';
manufacturer = 'BESA';
content = 'paradigm file';
elseif filetype_check_extension(filename, '.tfc')
type = 'besa_tfc';
manufacturer = 'BESA';
content = 'time frequency coherence';
elseif filetype_check_extension(filename, '.mul')
type = 'besa_mul';
manufacturer = 'BESA';
content = 'multiplexed ascii format';
elseif filetype_check_extension(filename, '.dat') && filetype_check_header(filename, 'BESA_SA') % header can start with BESA_SA_IMAGE or BESA_SA_MN_IMAGE
type = 'besa_src';
manufacturer = 'BESA';
content = 'beamformer source reconstruction';
elseif filetype_check_extension(filename, '.swf') && filetype_check_header(filename, 'Npts=')
type = 'besa_swf';
manufacturer = 'BESA';
content = 'beamformer source waveform';
elseif filetype_check_extension(filename, '.bsa')
type = 'besa_bsa';
manufacturer = 'BESA';
content = 'beamformer source locations and orientations';
elseif exist(fullfile(p, [f '.dat']), 'file') && (exist(fullfile(p, [f '.gen']), 'file') || exist(fullfile(p, [f '.generic']), 'file'))
type = 'besa_sb';
manufacturer = 'BESA';
content = 'simple binary channel data with a separate generic ascii header';
elseif filetype_check_extension(filename, '.sfh') && filetype_check_header(filename, 'NrOfPoints')
type = 'besa_sfh';
manufacturer = 'BESA';
content = 'electrode and fiducial information';
elseif filetype_check_extension(filename, '.besa')
type = 'besa_besa';
manufacturer = 'BESA';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.srf') && filetype_check_header(filename, [0 0 0 0], 4)
type = 'brainvoyager_srf';
manufacturer = 'BrainVoyager'; % see http://support.brainvoyager.com/installation-introduction/23-file-formats/375-users-guide-23-the-format-of-srf-files.html
content = 'surface';
% known Dataq file formats
elseif filetype_check_extension(upper(filename), '.WDQ')
type = 'dataq_wdq';
manufacturer = 'dataq instruments';
content = 'electrophysiological data';
% old files from Pascal Fries' PhD research at the MPI
elseif filetype_check_extension(filename, '.dap') && filetype_check_header(filename, char(1))
type = 'mpi_dap';
manufacturer = 'MPI Frankfurt';
content = 'electrophysiological data';
elseif isfolder(filename) && ~isempty(cell2mat(regexp({ls.name}, '.dap$')))
type = 'mpi_ds';
manufacturer = 'MPI Frankfurt';
content = 'electrophysiological data';
% Frankfurt SPASS format, which uses the Labview Datalog (DTLG) format
elseif filetype_check_extension(filename, '.ana') && filetype_check_header(filename, 'DTLG')
type = 'spass_ana';
manufacturer = 'MPI Frankfurt';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.swa') && filetype_check_header(filename, 'DTLG')
type = 'spass_swa';
manufacturer = 'MPI Frankfurt';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.spi') && filetype_check_header(filename, 'DTLG')
type = 'spass_spi';
manufacturer = 'MPI Frankfurt';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.stm') && filetype_check_header(filename, 'DTLG')
type = 'spass_stm';
manufacturer = 'MPI Frankfurt';
content = 'electrophysiological data';
elseif filetype_check_extension(filename, '.bhv') && filetype_check_header(filename, 'DTLG')
type = 'spass_bhv';
manufacturer = 'MPI Frankfurt';
content = 'electrophysiological data';
% known Chieti ITAB file types
elseif filetype_check_extension(filename, '.raw') && (filetype_check_header(filename, 'FORMAT: ATB-BIOMAGDATA') || filetype_check_header(filename, '[HeaderType]'))
type = 'itab_raw';
manufacturer = 'Chieti ITAB';
content = 'MEG data, including sensor positions';
elseif filetype_check_extension(filename, '.raw.mhd')
type = 'itab_mhd';
manufacturer = 'Chieti ITAB';
content = 'MEG header data, including sensor positions';
elseif filetype_check_extension(filename, '.asc') && ~filetype_check_header(filename, '**')
type = 'itab_asc';
manufacturer = 'Chieti ITAB';
content = 'headshape digitization file';
% known Nexstim file types
elseif filetype_check_extension(filename, '.nxe')
type = 'nexstim_nxe';
manufacturer = 'Nexstim';
content = 'electrophysiological data';
% known Tucker-Davis-Technology file types
elseif filetype_check_extension(filename, '.tbk')
type = 'tdt_tbk';
manufacturer = 'Tucker-Davis-Technology';
content = 'database/tank meta-information';
elseif filetype_check_extension(filename, '.tdx')
type = 'tdt_tdx';
manufacturer = 'Tucker-Davis-Technology';
content = 'database/tank meta-information';
elseif filetype_check_extension(filename, '.tsq')
type = 'tdt_tsq';
manufacturer = 'Tucker-Davis-Technology';
content = 'block header information';
elseif filetype_check_extension(filename, '.tev')
type = 'tdt_tev';
manufacturer = 'Tucker-Davis-Technology';
content = 'electrophysiological data';
% raw audio and video data from https://github.com/andreyzhd/VideoMEG
% the extension *.aud/*.vid is used at NatMEG and *.audio.dat/*.video.dat seems to be used in Helsinki
elseif (filetype_check_extension(filename, '.aud') || filetype_check_extension(filename, '.audio.dat')) && filetype_check_header(filename, 'ELEKTA_AUDIO_FILE')
% this should go before curry_dat
type = 'videomeg_aud';
manufacturer = 'VideoMEG';
content = 'audio';
elseif (filetype_check_extension(filename, '.vid') || filetype_check_extension(filename, '.video.dat')) && filetype_check_header(filename, 'ELEKTA_VIDEO_FILE')
% this should go before curry_dat
type = 'videomeg_vid';
manufacturer = 'VideoMEG';
content = 'video';
elseif (filetype_check_extension(filename, '.avi') || filetype_check_extension(filename, '.vlf') || filetype_check_extension(filename, '.wmv') || filetype_check_extension(filename, '.mov') || filetype_check_extension(filename, '.mp4'))
% generic fideo files, these are also supported by ft_read_header and ft_read_data
type = 'video';
manufacturer = 'generic';
content = 'video';
elseif (filetype_check_extension(filename, '.dat') || filetype_check_extension(filename, '.Dat')) && (exist(fullfile(p, [f '.ini']), 'file') || exist(fullfile(p, [f '.Ini']), 'file'))
% this should go before curry_dat
type = 'deymed_dat';
manufacturer = 'Deymed';
content = 'raw eeg data';
elseif (filetype_check_extension(filename, '.ini') || filetype_check_extension(filename, '.Ini')) && (exist(fullfile(p, [f '.dat']), 'file') || exist(fullfile(p, [f '.Dat']), 'file'))
type = 'deymed_ini';
manufacturer = 'Deymed';
content = 'eeg header information';
elseif filetype_check_extension(filename, '.dat') && (filetype_check_header(filename, [0 0 16 0 16 0], 8) || filetype_check_header(filename, [0 0 16 0 16 0], 0))
% this should go before curry_dat
type = 'jaga16';
manufacturer = 'Jinga-Hi';
content = 'electrophysiological data';
% some AnyWave file formats, see http://meg.univ-amu.fr/wiki/AnyWave:ADES
elseif filetype_check_extension(filename, '.ades') && filetype_check_header(filename, '#ADES') && exist(fullfile(p, [f '.dat']), 'file')
type = 'anywave_ades';
manufacturer = 'AnyWave';
content = 'continuous EEG, iEEG or MEG data';
elseif filetype_check_extension(filename, '.dat') && exist(fullfile(p, [f '.ades']), 'file') && filetype_check_header(fullfile(p, [f '.ades']), '#ADES')
% this should go before curry_dat
type = 'anywave_dat';
manufacturer = 'AnyWave';
content = 'continuous EEG, iEEG or MEG data';
% known Curry V4 file types
elseif filetype_check_extension(filename, '.dap')
type = 'curry_dap'; % FIXME, can also be MPI Frankfurt electrophysiological data
manufacturer = 'Curry';
content = 'data parameter file';
elseif filetype_check_extension(filename, '.dat')
type = 'curry_dat';
manufacturer = 'Curry';
content = 'raw data file';
elseif filetype_check_extension(filename, '.rs4')
type = 'curry_rs4';
manufacturer = 'Curry';
content = 'sensor geometry file';
elseif filetype_check_extension(filename, '.par')
type = 'curry_par';
manufacturer = 'Curry';
content = 'data or image parameter file';
elseif filetype_check_extension(filename, '.bd0') || filetype_check_extension(filename, '.bd1') || filetype_check_extension(filename, '.bd2') || filetype_check_extension(filename, '.bd3') || filetype_check_extension(filename, '.bd4') || filetype_check_extension(filename, '.bd5') || filetype_check_extension(filename, '.bd6') || filetype_check_extension(filename, '.bd7') || filetype_check_extension(filename, '.bd8') || filetype_check_extension(filename, '.bd9')
type = 'curry_bd';
manufacturer = 'Curry';
content = 'BEM description file';
elseif filetype_check_extension(filename, '.bt0') || filetype_check_extension(filename, '.bt1') || filetype_check_extension(filename, '.bt2') || filetype_check_extension(filename, '.bt3') || filetype_check_extension(filename, '.bt4') || filetype_check_extension(filename, '.bt5') || filetype_check_extension(filename, '.bt6') || filetype_check_extension(filename, '.bt7') || filetype_check_extension(filename, '.bt8') || filetype_check_extension(filename, '.bt9')
type = 'curry_bt';
manufacturer = 'Curry';
content = 'BEM transfer matrix file';
elseif filetype_check_extension(filename, '.bm0') || filetype_check_extension(filename, '.bm1') || filetype_check_extension(filename, '.bm2') || filetype_check_extension(filename, '.bm3') || filetype_check_extension(filename, '.bm4') || filetype_check_extension(filename, '.bm5') || filetype_check_extension(filename, '.bm6') || filetype_check_extension(filename, '.bm7') || filetype_check_extension(filename, '.bm8') || filetype_check_extension(filename, '.bm9')
type = 'curry_bm';
manufacturer = 'Curry';
content = 'BEM full matrix file';
elseif filetype_check_extension(filename, '.dig')
type = 'curry_dig';
manufacturer = 'Curry';
content = 'digitizer file';