EEG Signal Processing

[@e1lg537]

Your Videos have helped me sooooo much!!! Please keep making more!

[@HassanKhan-fe3pn]

Thank you for creating and sharing such a wonderful lecture. I found it to be very useful. Just want to point out one tiny inaccuracy. Around 15:50 you say the Fourier transform of the ACF gives the PSD which is correct. However, in the expression you write PSD as S_X(\tau) as a function of tau (or time-lag). I think it should be S_X(f) i.e., a function of 'f' frequency instead of 'tau'.

[@_mdap]

Excelente explicación muchisimas gracias por este video. Saludos desde Tijuana :)

[@gustavojuantorena]

I really like your channel! Saludos desde Argentina.

[@NatalyMedina-ICE]

¡Saludos!

[@dawit_haile]

Thank you for sharing, this is a very good explanation.

[@NatalyMedina-ICE]

Thank you!

[@harmonyflexmanz9456]

Thanks for the precise explanation, very helpful.

[@curls6778]

Great lecture, thank you! Is there a follow up video regarding using Machine Learning to classify the extracted features (you were hinting at that at the end)

[@azharjebur767]

are the number of electrodes the same number of features??

[@amirhosseinmostafavi3633]

It was very helpful. I appreciate

[@graspinginfinity7655]

that one thumbnail was extremely helpful

[@Eichi25]

Please, what's the next chapter for the classification you mentioned. And how do I identify the frequency bands for my signal? Thanks

[@Tothefutureand]

Can we use eeg to read mind , or we need high tech fMri

[@AdiletBolatkhan]

Great lecture) Thank you

[@SBARTSTV]

Great! I just got a Neurosity Notion 2 EEG Headset.

[@aamirbangash985]

What have you discovered?

[@Waterlmelon]

thanks for sharing knowledge!

[@tessawilliamjames4936]

Thank you so much for this! Just checking the data AF3 would be an array or recorded voltages, right?

[@annaovesna4440]

just a note for myself... The Python part starts at 21:06

[@MISTERMACH1352]

Hi. Thank you for the video. How can I separate frequency band (alpha, gamma) signals from the original EEG signal in Python?

[@abdulkadersanju]

Hi, I am stuck at this problem now. Did you manage to figure out the solution? Please do share.. It will be a great help

[@AmirhoseinJ]

@@abdulkadersanju I think this is the solution: First you take FFT of the signal, we call this A. Then you create an array (B) which has an amplitude of 1 for the range of frequencies you want to filter, and 0 otherwise. If you multiply A by B and take inverse FFT of it, you get the desired result.

[@AA-wl8tp]

Just use a pass band filter

[@GauravPramodShahare]

you know how to drow a graph of Alfa bita and Gama

[@hussenelswaf9660]

perfect

[@georgebush3327]

Thank you!

[@alizeze5802]

thanks alot

[@sandragoa2379]

Thank u!!!

[@ibleteus]

thank you..

[@ahmetserdr2920]

Perfect

[@HistorIA376]

Qué bueno sería que también lo explicaras en español

[@NatalyMedina-ICE]

Con gusto, Saludos.

[@shk5253]

no github?

[@anarkymx4346]

Do not buy EMOTIV INSIGHT the hardware is very expensive without a license and does not allow LSL or recording signals. If you want to use LSL you must pay $89.00/ per month. It continually disconnects bluetooth and has no communication cable. Every time you connect to the hardware it asks you to login via internet. Without the $89.00/ per month license you can only install it on one PC and when you change PC or sell it or it breaks down you are left with nothing. Disappointing for robotic control at the moment and is the equivalent in cost to buying a mid-high end laptop. Disappointing for robotic control at the moment and the equivalent in cost to buying a laptop. It is a total and absolute dependency and expensive.

[@dihanmorawaka9810]

Thank You!