Data Processing

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. Here is an example in Matlab:

>> MyData= load('201320020020data.easy');

Here is a more sophisticated example:

% 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’);

% 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 one: 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 two: 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

Spectrogram with TMS