[Eeglablist] Extract freq from continous data

[Makoto Miyakoshi]

Hello Thomas,

In order to decompose the continuous time-series data into frequency domain
signals, you need some kind of Fourier transformations. From EEGLAB GUI,
you can run time-frequency transformation using newtimef() function. Make
sure you enter a large number of 'timesout' which defines the number of
time points in the output. For example, if your sampling rate is 250 Hz and
you use the default parameters (3 cycles at 3 Hz, which gives you 1116 ms
window length), then you calculate [(your data length in ms) - 1116
(ms)]/(1000 (ms)/250 (Hz)) This equation gives you the highest time
resolution. In order to obtain the output in the form of values not
figures, you have to call the functions and you can't do it from GUI.

I could be wrong because my knowledge could be a bit old!

Makoto

On Sat, Jul 1, 2023 at 1:58 PM thomas--- via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Hi there,
>
> first off all - thank you so much for providing this brilliant piece
> of software!
>
> As a newcomer I have a question about interpreting the continous data
> from a component.
> I can see the signal strength, no problem.  Also the time is self
> explanatory - but I am unsure how to extract the frequency from the
> Y-axis.
>
> Any pointers in the right direction would be very much appreciated
>
> Best wishes /Thomas
>
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