Convolution Neural Networks

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Convolution Neural Networks

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The second seminar

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The second seminar

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Meeting with Dr.Mostafa and T.A Manal

Specific points:-

• Dr. Manal asked us know type of EEG LAB data set (data set description when event occurs and what this event of this data set ).

• Dr. Mostafa wants us to focus on set of algorithms:-

This divided two groups

· Fourier transform and filter bank algorithms.

· Autoregressive and linear predictive coding (LPC) algorithms.

· Independent component analysis (ICA) algorithm

(said later not important now).

• Dr. Mostafa wants us description of cognative and muscles signal.

• Dr. Mostafa wants one of us responsible for EEGLAB package.

• Dr. Mostafa wants for us features measurment for each channel in normal and abnormal signal.

• Finally, Dr. Mostafa wants for us to determine team leader for group.

Write Dataset in text file using matlab

X= pop_loadset();
savefile = 'C:\temp.txt';
myfile = fopen(savefile ,'wt');

for i=1:X.nbchan
fprintf(myfile,'%g***** ',i);
fprintf(myfile, '%f\t',X.data(i,:));
fprintf(myfile,'\n');
end
fclose(myfile);

The First Seminar

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The First Seminar

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First Paper Presentation

Brain computer interface based

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BCI

BCIs are being developed for a variety of applications ranging from assistive technologies for patients with motor disabilities to entertainment devices. Across the wide range of applications, all BCI systems share the same set of underlying components, which can be broken down into three main segments: brain signal acquisition, brain state decoding, and computer-mediated performance of a task. Some BCIs decode the brain state into a set of discrete classes 
such as yes/no commands,while other BCIs decode continuous data such as a reaching trajectory.