David Scott-6 wrote:
On 21/11/10 21:18, Az Ha wrote:
Hi,
I need to find the power spectrum of an eeg and display frequency in hz.
I
found two functions, spectrum or auspec but they give me frequency from
0.0
- 0.5. How do i get frequency in Hz or KHz?
Also, is it possible to plot two overlapping spectra in order to compare
their peaks etc?
Thanks for any help.
Well you you have the spectrum already, you just need to change the
scale on the x-axis. The change that needs to be made is not really an
R question, though how to do it is an R question.
The scale used by R is cycles per unit time, where the time unit is the
sampling interval of your time series. Thus the value at 0.25 say is the
spectral density at 0.25 cycles per time interval, or for a period of 4
time units. To convert to Hertz, you need to know the size of your time
unit in seconds. If your time unit (sampling interval) is say 1/1000
seconds (0.001 of a second), then 0.25 cycles per time interval
corresponds to 1000*0.25 cycles per second, or 250 Hertz. Since kHz
denotes the number of thousands of cycles per second, 250 Hz is
205/1000=0.25 Khz.
Here is an example:
par(mfrow = c(1,2))
w0 - 0.2
n - 100
x - cos(2*pi*w0*(0:(n-1)))
specx - spec.pgram(x, plot = FALSE)
spec.pgram(x)
spec.pgram(x, xaxt = n, xlab = frequency (Hz),
sub = paste(bandwidth = , round(1000*specx$bandwidth,2)))
axis(side = 1, at = (0:5)/10, labels = 1000*(0:5)/10)
David Scott
--
_
David Scott Department of Statistics
The University of Auckland, PB 92019
Auckland 1142,NEW ZEALAND
Phone: +64 9 923 5055, or +64 9 373 7599 ext 85055
Email:d.sc...@auckland.ac.nz, Fax: +64 9 373 7018
Director of Consulting, Department of Statistics
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Thanks David for explaining this, I got it to work the way i wanted.
Meantime i found another function meanspec (package seewave), in which I can
directly input the sampling frequency (in my case 4800Hz), which is lot
easier to work with. But it gives me Y-axis in amplitude. Can someone
explain me how amplitude in meanspec compares to spectrum in spectrum?
My aim in doing all this is to compare two different eeg signal peaks to see
which has greater power.
Thanks again.
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