Time-Frequency Analysis of EEG Time Series Part 1: Fourier Analysis of EEG Signal

This is part 5 of a series of videos on Time-Frequency Analysis of EEG Time series. This part is about Fourier analysis of the EEG signal.

[@naveenmasood2472]

thats great.. looking forward to next one 👍

[@eulenaugen5550]

Amazing explanation. Thanks a lot!!!

[@beautybea5543]

thank you so much..i am using as my preprocessing tech

[@marmiumiu]

Thank you so much!

[@claudiakrogmeier557]

Do you know why certain researchers consider the alpha band frequency differently? I have seen 8-12 Hz, and 8-13 Hz, most commonly. Would this depend on the research question, or is this debatable in the field? Thanks

[@sohailaidris3971]

thank you very much this is so helpful.
I just wanna ask a question can i use EEGLAB for eeg feature extraction ?

[@wajihailyas2389]

hello sir can you please guide me Is FFT good for EEG signal use to detect emotion ?

[@shayamsuseelan3173]

Thank you very much, this has been very helpful. I am using the information from your video to explain FFT in my methods section of my final year research project. Do you happen to have any appropriate references based on your explanation?

[@prathameshk9011]

Hello there.. I needed some Info and help regarding research which includes eeg analysis how can I contact you

[@WahranRai]

0:22 Dont confuse Hans Berger with Ham Burger

[@01hZ]

lol!

[@eleganthomeinteriors1299]

Thanks a lot . But the code for dft you have given in the board isn't working in matlab .Showing error in the inner loop ..

[@arnodelorme]

I might have created a nested loop in the presentation to improve clarity and created a bug as a result. The code below works for me.
function Xk = dft(x)
[N,M] = size(x);
if M ~=1, % makes sure that x is a column vector
x = x';
N = M;
end
Xk=zeros(N,1);
n = 0:N-1;
for k=0:N-1
Xk(k+1) = exp(-j*2*pi*k*n/N)*x;
end

[@eleganthomeinteriors1299]

@@arnodelorme Thank you sir...Now it's working fine...