1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137
|
function savesnirf(data, outfile, varargin)
%
% savesnirf(snirfdata, fname)
% or
% savesnirf(snirfdata, fname, 'Param1',value1, 'Param2',value2,...)
%
% Load an HDF5 based SNIRF file, and optionally convert it to a JSON
% file based on the JSNIRF specification:
% https://github.com/NeuroJSON/jsnirf
%
% author: Qianqian Fang (q.fang <at> neu.edu)
%
% input:
% snirfdata: a raw SNIRF data, preprocessed SNIRF data or JSNIRF
% data (root object must be SNIRFData)
% fname: the output SNIRF (.snirf) or JSNIRF data file name (.jnirs, .bnirs)
%
% output:
% data: a MATLAB structure with the grouped data fields
%
% example:
% data=loadsnirf('test.snirf');
% savesnirf(data,'newfile.snirf');
%
% this file is part of JSNIRF specification: https://github.com/NeuroJSON/jsnirf
%
% License: GPLv3 or Apache 2.0, see https://github.com/NeuroJSON/jsnirf for details
%
if (nargin < 2 || ~ischar(outfile))
error('you must provide data and a file name');
end
opt = varargin2struct(varargin{:});
if (~isfield(opt, 'root'))
opt.rootname = '';
end
if (~isfield(opt, 'variablelengthstring'))
opt.variablelengthstring = 1;
end
if (~isfield(opt, 'rowas1d'))
opt.rowas1d = 1;
end
if (isfield(data, 'SNIRFData'))
data.nirs = data.SNIRFData;
data.formatVersion = data.SNIRFData.formatVersion;
data.nirs = rmfield(data.nirs, 'formatVersion');
data = rmfield(data, 'SNIRFData');
end
if (~isempty(outfile))
if (~isempty(regexp(outfile, '\.[Hh]5$', 'once')))
saveh5(data, outfile, opt);
elseif (~isempty(regexp(outfile, '\.[Ss][Nn][Ii][Rr][Ff]$', 'once')))
if (isfield(data.nirs.data, 'measurementList'))
forceint = {'sourceIndex', 'detectorIndex', 'wavelengthIndex', ...
'dataType', 'dataTypeIndex', 'moduleIndex', ...
'sourceModuleIndex', 'detectorModuleIndex'};
for i = 1:length(forceint)
if (isfield(data.nirs.data.measurementList, forceint{i}))
if (iscell(data.nirs.data.measurementList.(forceint{i})))
data.nirs.data.measurementList.(forceint{i}) = cell2mat(data.nirs.data.measurementList.(forceint{i}));
end
data.nirs.data.measurementList.(forceint{i}) = int32(data.nirs.data.measurementList.(forceint{i}));
end
end
if (length(data.nirs.data.measurementList) == 1 && ...
length(data.nirs.data.measurementList.sourceIndex) > 1)
data.nirs.data.measurementList = soa2aos(data.nirs.data.measurementList);
end
end
if (opt.rowas1d)
force1d.probe = {'wavelengths', 'wavelengthsEmission', 'frequencies', ...
'timeDelays', 'timeDelayWidths', 'momentOrders', 'correlationTimeDelays', ...
'correlationTimeDelayWidths'};
force1d.data = {'time'};
force1d.aux = {'time', 'timeOffset'};
fields = fieldnames(force1d);
for i = 1:length(fields)
for j = 1:length(force1d.(fields{i}))
if (isfield(data.nirs.(fields{i}), force1d.(fields{i}){j}))
if (iscell(data.nirs.(fields{i}).(force1d.(fields{i}){j})))
data.nirs.(fields{i}).(force1d.(fields{i}){j}) = cell2mat(data.nirs.(fields{i}).(force1d.(fields{i}){j}));
end
data.nirs.(fields{i}).(force1d.(fields{i}){j}) = timeseries(data.nirs.(fields{i}).(force1d.(fields{i}){j})(:).');
end
end
end
end
if (isfield(data.nirs, 'probe'))
forcestrarray.probe = {'sourceLabels', 'detectorLabels', 'landmarkLabels'};
forcestrarray.stim = {'dataLabels'};
fields = fieldnames(forcestrarray);
for i = 1:length(fields)
for j = 1:length(forcestrarray.(fields{i}))
if (isfield(data.nirs.(fields{i}), forcestrarray.(fields{i}){j}))
if (iscell(data.nirs.(fields{i}).(forcestrarray.(fields{i}){j})))
data.nirs.(fields{i}).(forcestrarray.(fields{i}){j}) = cell2mat(data.nirs.(fields{i}).(forcestrarray.(fields{i}){j}));
end
data.nirs.(fields{i}).(forcestrarray.(fields{i}){j}) = timeseries(string(data.nirs.(fields{i}).(forcestrarray.(fields{i}){j})(:).'));
end
end
end
end
if (~isempty(regexp(data.formatVersion, '^1\.', 'once')))
if (length(data.nirs.data.measurementList) == 1 && length(data.nirs.data.measurementList.sourceIndex) > 1)
data.nirs.data.measurementList = soa2aos(data.nirs.data.measurementList);
end
end
data.nirs.data = forceindex(data.nirs.data, 'measurementList');
data.nirs = forceindex(data.nirs, 'data');
data.nirs = forceindex(data.nirs, 'stim');
data.nirs = forceindex(data.nirs, 'aux');
saveh5(data, outfile, opt);
elseif (~isempty(regexp(outfile, '\.[Jj][Nn][Ii][Rr][Ss]$', 'once')) || ~isempty(regexp(outfile, '\.[Jj][Ss][Oo][Nn]$', 'once')))
savejson('SNIRFData', data, 'FileName', outfile, opt);
elseif (regexp(outfile, '\.[Mm][Aa][Tt]$'))
save(outfile, 'data');
elseif (regexp(outfile, '\.[Bb][Nn][Ii][Rr][Ss]$'))
savebj('SNIRFData', data, 'FileName', outfile, opt);
else
error('only support .snirf, .h5, .jnirs, .bnirs and .mat files');
end
end
% force adding index 1 to the group name for singular struct and cell
function newroot = forceindex(root, name)
newroot = root;
fields = fieldnames(newroot);
idx = find(ismember(fields, name));
if (~isempty(idx) && length(newroot.(name)) == 1)
newroot.(sprintf('%s1', name)) = newroot.(name);
newroot = rmfield(newroot, name);
fields{idx(1)} = sprintf('%s1', name);
newroot = orderfields(newroot, fields);
end
|