[Eeglablist] Maximum segment average amplitude, from single epochs
bastien.b1 at gmail.com
Mon Mar 24 20:42:55 PDT 2014
Actually, because I implemented something like that once, but didn't use
squeeze what would the added value of squeeze be? I looked into the doc of
that function but I'm not sure I understand what it does.
Makoto, do you have a better way of explaining it than the matlab doc on
Bastien Boutonnet, Ph. D.
Department of Psychology
University of Wisconsin, Madison
On 24 March 2014 20:12, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
> Dear Gaspar,
> Without checking it with Matlab...
> To make it simple, I'll use millisecond instead of datapoints.
> channelOfInterest = 10; % let's say you want to see Ch10.
> maxPoint = squeeze(max(EEG.data(channelOfInterest,300:800,:),,2));
> minPoint = squeeze(max(EEG.data(channelOfInterest,maxPoint:1300,:),,2));
> % Does this work? If not (and probably not), use for simple for loop, like
> minPoint = zeros(1,length(maxPoint));
> for n = 1:length(maxPoint)
> minPoint(n) =
> meanMaxValue =
> meanMinValue =
> Let me know if this does not work.
> 2014-03-24 10:21 GMT-07:00 Bastien Boutonnet <bastien.b1 at gmail.com>:
> Do you basically want to collect the maxima and then average over those
>> Bastien Boutonnet, Ph. D.
>> Department of Psychology
>> University of Wisconsin, Madison
>> On 24 March 2014 05:44, Gaspar Lukacs <lkcsgaspar at gmail.com> wrote:
>>> Hi all,
>>> I have problems with data extraction from single epochs, for which I'll
>>> probably need an algorithm. Specifically, within each epoch, from 300 to
>>> 800 ms I need to get the maximum positive 100 ms segment average amplitude,
>>> and then from the midpoint of this segment to 1300 ms, the maximum negative
>>> 100 ms segment average.
>>> The closest thing I could find is a "meanepoch.m" script which gets mean
>>> values between given latencies from single epochs - but it cannot search
>>> for maximum mean values (i.e. segment averages)..
>>> I would be very grateful for any suggestions.
>>> /Institute of Psychology, University of Szeged/
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> Makoto Miyakoshi
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego
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