Exporting Data from Matlab to BESA Statistics - Revision history

Jaehyun at 10:58, 27 August 2021

2021-08-27T10:58:41Z

Robert at 11:06, 2 February 2021

2021-02-02T11:06:39Z

Harald at 09:39, 11 April 2016

2016-04-11T09:39:02Z

Todor at 09:57, 8 April 2016

2016-04-08T09:57:52Z

Todor: /* Introduction */

2016-04-08T09:56:58Z

‎Introduction

Todor at 09:56, 8 April 2016

2016-04-08T09:56:28Z

Todor at 09:55, 8 April 2016

2016-04-08T09:55:25Z

Todor at 09:50, 8 April 2016

2016-04-08T09:50:43Z

Todor at 09:46, 8 April 2016

2016-04-08T09:46:30Z

Todor at 09:44, 8 April 2016

2016-04-08T09:44:08Z

@@ Line 26: / Line 26: @@
 </source>
 The matrix <tt>avg</tt> contains the averaged data for the current condition and the matrix <tt>trial</tt> contains the single trial data. In this case there are 100 trials, the data contains 147 channels (this is a 148 channels BTI system but 1 channel was defined as bad) and 475 time samples. An important substructure is <tt>grad</tt>, it contains the positions of the MEG channels.
-In order to be able to follow the steps in this tutorial you need to download the scripts for exporting data from Matlab to BESA here: [ftp://h1772544.stratoserver.net/public/Matlab/MATLAB2BESA.zip].
+In order to be able to follow the steps in this tutorial you need to download the scripts for exporting data from Matlab to BESA (MATLAB2BESA) [https://github.com/BESA-GmbH/BESA-MATLAB-Scripts/releases/latest/download/MATLAB2BESA.zip here].
 == Exporting procedure ==
 Let us assume that we already have the data for one subject and two conditions (cond1 and cond2) in these two structures:<tt>timelock_cond1</tt> and <tt>timelock_cond2</tt>.
 === Exporting single trial data as ascii-vectorized files (.avr) ===
 For the export of the single trial data in an <tt>.avr</tt>-file format we need the function <tt>besa_save2Avr(...)</tt> which is contained in the <tt>zip</tt>-file mentioned above.

← Older revision		Revision as of 11:06, 2 February 2021
Line 167:		Line 167:
	In order to make sure that BESA Statistics finds the <tt>elp</tt>-file, please copy it into one of the two data folders (here <tt>D:\Data\C1</tt> or <tt>D:\Data\C2</tt>).		In order to make sure that BESA Statistics finds the <tt>elp</tt>-file, please copy it into one of the two data folders (here <tt>D:\Data\C1</tt> or <tt>D:\Data\C2</tt>).

−	[[Category:Statistics]]	+	[[Category:Statistics]] [[Category:Data Import/Export]]

@@ Line 1: / Line 1: @@
 == Introduction ==
@@ Line 161: / Line 166: @@
 </source>
 In order to make sure that BESA Statistics finds the <tt>elp</tt>-file, please copy it into one of the two data folders (here <tt>D:\Data\C1</tt> or <tt>D:\Data\C2</tt>).

@@ Line 4: / Line 4: @@
 The structure looks like this:
-<tt>
+<source lang="dos">
 timelock_cond1 =
@@ Line 19: / Line 19: @@
            cfg: [1x1 struct]
-</tt>
+</source>
 The matrix <tt>avg</tt> contains the averaged data for the current condition and the matrix <tt>trial</tt> contains the single trial data. In this case there are 100 trials, the data contains 147 channels (this is a 148 channels BTI system but 1 channel was defined as bad) and 475 time samples. An important substructure is <tt>grad</tt>, it contains the positions of the MEG channels.
 In order to be able to follow the steps in this tutorial you need to download the scripts for exporting data from Matlab to BESA here: [ftp://h1772544.stratoserver.net/public/Matlab/MATLAB2BESA.zip].

@@ Line 4: / Line 4: @@
 The structure looks like this:
 <tt>
 timelock_cond1 =

@@ Line 1: / Line 1: @@
 == Introduction ==
-This is a short tutorial on how to export MEG data from Matlab in a file format readable by BESA Statistics. For the purpose of this example, MEG data is used, however, the case of EEG data should not be very different. As an example the standard structure generated by FieldTrip after time-lock analysis is used (<tt>ft_timelockanalysis(...)</tt>) with the option
+This is a short tutorial on how to export MEG data from Matlab in a file format readable by BESA Statistics. For the purpose of this example, MEG data is used, however, the case of EEG data should not be very different. As an example the standard structure generated by FieldTrip after time-lock analysis is used <tt>ft_timelockanalysis(...)</tt> with the option <tt>cfg.keeptrials = 'yes';</tt>.
-<source lang="matlab">
 cfg.keeptrials = 'yes';
-</source>.
 The structure looks like this:
 <source lang="c">
@@ Line 21: / Line 19: @@
 </source>
-The matrix <tt>'avg'</tt> contains the averaged data for the current condition and the matrix <tt>'trial'</tt> contains the single trial data. In this case there are 100 trials, the data contains 147 channels (this is a 148 channels BTI system but 1 channel was defined as bad) and 475 time samples. An important substructure is <tt>'grad'</tt>, it contains the positions of the MEG channels.
+The matrix <tt>avg</tt> contains the averaged data for the current condition and the matrix <tt>trial</tt> contains the single trial data. In this case there are 100 trials, the data contains 147 channels (this is a 148 channels BTI system but 1 channel was defined as bad) and 475 time samples. An important substructure is <tt>grad</tt>, it contains the positions of the MEG channels.
 In order to be able to follow the steps in this tutorial you need to download the scripts for exporting data from Matlab to BESA here: [ftp://h1772544.stratoserver.net/public/Matlab/MATLAB2BESA.zip].
 == Exporting procedure ==
-Let us assume that we already have the data for one subject and two conditions (cond1 and cond2) in these two structures: <tt>timelock_cond1</tt> and <tt>timelock_cond2</tt>.
+Let us assume that we already have the data for one subject and two conditions (cond1 and cond2) in these two structures:<tt>timelock_cond1</tt> and <tt>timelock_cond2</tt>.
 === Exporting single trial data as ascii-vectorized files (.avr) ===
-For the export of the single trial data in an .avr-file format we need the function <tt>besa_save2Avr(...)</tt> which is contained in the zip-file mentioned above.
+For the export of the single trial data in an <tt>.avr</tt>-file format we need the function <tt>besa_save2Avr(...)</tt> which is contained in the <tt>zip</tt>-file mentioned above.
 '''Matlab code:'''

@@ Line 113: / Line 113: @@
 </source>
 === Transform to spherical coordinates ===
-Since the positions of the channels in the structure <tt>timelock_cond1.grad.chanpos</tt> are given in Cartesian coordinates we have to transform them to spherical coordinates in order to be able to generate the .elp-file that is read by BESA Statistics. For this purpose, use the function <tt>besa_transformCartesian2Spherical(...)</tt>.
+Since the positions of the channels in the structure <tt>timelock_cond1.grad.chanpos</tt> are given in Cartesian coordinates we have to transform them to spherical coordinates in order to be able to generate the <tt>.elp</tt>-file that is read by BESA Statistics. For this purpose, use the function <tt>besa_transformCartesian2Spherical(...)</tt>.
 '''Matlab code:'''

← Older revision		Revision as of 09:46, 8 April 2016
Line 112:		Line 112:
	end		end
	</source>		</source>
		+	=== Transform to spherical coordinates ===
		+	Since the positions of the channels in the structure <tt>timelock_cond1.grad.chanpos</tt> are given in Cartesian coordinates we have to transform them to spherical coordinates in order to be able to generate the .elp-file that is read by BESA Statistics. For this purpose, use the function <tt>besa_transformCartesian2Spherical(...)</tt>.
		+
		+	'''Matlab code:'''

← Older revision		Revision as of 09:44, 8 April 2016
Line 87:		Line 87:

	'''Matlab code:'''		'''Matlab code:'''
		+	<source lang="matlab">
		+	%% Rearrange channels in grad
		+
		+	SortedCoordinates = zeros(NumChannels, 3);
		+
		+	NumBadChannels = 1; % A106
		+
		+	for iCh1 = 1:NumChannels
		+
		+	CurrLabel1 = timelock_cond1.label{iCh1};
		+
		+	for iCh2 = 1:NumChannels+NumBadChannels
		+
		+	CurrLabel2 = timelock_cond1.grad.label{iCh2};
		+
		+	if(strcmp(CurrLabel1, CurrLabel2))
		+
		+	SortedCoordinates(iCh1, :) = timelock_cond1.grad.chanpos(iCh2, :);
		+
		+	end
		+
		+	end
		+
		+	end
		+	</source>