Difference between revisions of "Data Processing"
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== Matlab tools == | == Matlab tools == | ||
| + | [[File:spectrogram.png|200px|thumb|left|'''See [[Manuals & Downloads / Repository | Manuals & Downloads / Repository ]] for more sophisticated sample code to do data analysis.''' | ||
| + | ]] | ||
When EEG data is recorded by NIC from Enobio or StarStim instruments, several files are created. These include an .info file and an .easy file. "Easy" format data is, well, easy to load into a program such as Matlab. | When EEG data is recorded by NIC from Enobio or StarStim instruments, several files are created. These include an .info file and an .easy file. "Easy" format data is, well, easy to load into a program such as Matlab. | ||
| − | '''See [[Manuals & Downloads / Repository | Manuals & Downloads / Repository ]] for more sophisticated sample code to do data analysis.''' | + | '''See [[Manuals & Downloads / Repository | Manuals & Downloads / Repository ]] for more sophisticated sample code to do data analysis.''' You can find there code to create PSDs plots, spectrograms, etc. |
| − | Here is a simple example in Matlab. This is a an example file to read NE data. First we load the file - change the filename below as needed. The file should be in the Matlab working directory in this case: | + | Here is a simple example in Matlab (download the example [[media:SimpleCodeExample.zip | '''here''']]). This is a an example file to read NE data. First we load the file - change the filename below as needed. The file should be in the Matlab working directory in this case: |
>> d=load(‘20120731153351_enobiodata.easy’); | >> d=load(‘20120731153351_enobiodata.easy’); | ||
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>> time=time/1000; % change time units to seconds | >> time=time/1000; % change time units to seconds | ||
| − | '''Example | + | |
| + | [[File:MatlabExampleFigure1.png |200px|thumb|left|Figure from Example 1 (tDCS signal)]] | ||
| + | [[File:MatlabExampleFigure2.png |200px|thumb|left|Figure from Example 2 (tDCS signal)]] | ||
| + | |||
| + | '''Example 1:''' we plot channel 1 in mV | ||
>> figure(1); plot(time, d(:,1)/1e6); % divide by one million to go to mV | >> figure(1); plot(time, d(:,1)/1e6); % divide by one million to go to mV | ||
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>> title(‘Channel 1 data’); | >> title(‘Channel 1 data’); | ||
| − | '''Example | + | |
| + | |||
| + | |||
| + | '''Example 2:''' we plot channels 1 to 8 in uV | ||
>> figure(2); plot(time, d(:,1:8)/1e3); % divide by one thousand to go to uV | >> figure(2); plot(time, d(:,1:8)/1e3); % divide by one thousand to go to uV | ||
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| − | + | ||
| + | <br /> | ||
== NIC Offline == | == NIC Offline == | ||
| + | |||
| + | NIC Offline (available on our website, Downloads section) is a stand alone tool to input Neuroelectrics files in any format and carrying out simple data analysis on them. It reproduces the online capabilities of NIC, but works from a data file as opposed to real data streams from a device. | ||
Latest revision as of 14:47, 14 October 2013
In this page you will find some tips on how to analyze NE instrument data. This includes EEG data and accelerometry.
We discuss data analysis with Matlab and with NIC-Offline
Matlab tools
When EEG data is recorded by NIC from Enobio or StarStim instruments, several files are created. These include an .info file and an .easy file. "Easy" format data is, well, easy to load into a program such as Matlab.
See Manuals & Downloads / Repository for more sophisticated sample code to do data analysis. You can find there code to create PSDs plots, spectrograms, etc.
Here is a simple example in Matlab (download the example here). This is a an example file to read NE data. First we load the file - change the filename below as needed. The file should be in the Matlab working directory in this case:
>> d=load(‘20120731153351_enobiodata.easy’);
The data is now loaded as an array in the "d" variable.
Next we define the time axis using the last column in the data (in ms Unix time):
>> time=d(:,end); % time stamp is in the last column - in ms Unix time >> time=time-time(1); % set clock to zero in first sample >> time=time/1000; % change time units to seconds
Example 1: we plot channel 1 in mV
>> figure(1); plot(time, d(:,1)/1e6); % divide by one million to go to mV >> xlabel(‘Time from start (s)’); >> ylabel(‘Voltage (mV)’); >> title(‘Channel 1 data’);
Example 2: we plot channels 1 to 8 in uV
>> figure(2); plot(time, d(:,1:8)/1e3); % divide by one thousand to go to uV
>> xlabel(‘Time from start (s)’);
>> ylabel(‘Voltage (uV)’);
>> legend({‘Ch1’,’Ch2’,’Ch3’,’Ch4’,’Ch5’,’Ch6’,’Ch7’,’Ch8’});
>> title(‘Channels 1-8 data’);
>> ylim([-200 200]); % fix the y-axis limits to plu/minus 200 uV
NIC Offline
NIC Offline (available on our website, Downloads section) is a stand alone tool to input Neuroelectrics files in any format and carrying out simple data analysis on them. It reproduces the online capabilities of NIC, but works from a data file as opposed to real data streams from a device.
