[Eeglablist] re : energy and power features
Makoto Miyakoshi
mmiyakoshi at ucsd.edu
Tue Oct 18 01:21:26 PDT 2016
Dear Vadlamani,
Yes, you are right! Please use
.*
instead of
*
Makoto
On Mon, Oct 17, 2016 at 11:44 PM, Vadlamani Samhitha <
vadlamani.samhitha at gmail.com> wrote:
> Sir , should it be a .* instead of * , because it says the matrix
> dimensions do not agree ?
>
> On Tue, Oct 18, 2016 at 10:22 AM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu>
> wrote:
>
>> Dear Vadlamani,
>>
>> No. See below. You don't want to repeat for every frame to compute it,
>> but you want to sum them across time (and normalize by the number of frames
>> for the case of power spectral density). Note that it's not checked with
>> Matlab.
>>
>> Makoto
>>
>> *energy:*
>>
>> for i=1:epochs
>>
>> for j=1:channels
>>
>> energy(i,j)=sum(squeeze([EEG.icaact(j,:,i)]*[EEG.icaact(j,:,
>> i)]));
>>
>> end
>>
>> end
>>
>>
>> *power:*
>>
>>
>> for i=1:epochs
>>
>> for j=1:channels
>>
>> energy(i,j)=sum(squeeze([EEG.icaact(j,:,i)]*[EEG.icaact(j,:,
>> i)]))/frames;
>>
>> end
>>
>> end
>>
>> On Wed, Sep 21, 2016 at 3:22 AM, Vadlamani Samhitha <
>> vadlamani.samhitha at gmail.com> wrote:
>>
>>> Hi list . I am supposed to compute energy and power features for epoched
>>> data-set ( matrix of the format , channels x frames x epochs ) . I would
>>> like to know , if the approach mentioned below is correct for computing
>>> energy and power. Thank you.
>>>
>>> *energy:*
>>>
>>> for k=1:epochs
>>>
>>> for i=1:channels
>>>
>>> for j=1:frames
>>>
>>> energy(i,1,k)=sum([EEG.icaact(i,j,k)]*[EEG.icaact(i,j,k)]);
>>>
>>> end
>>>
>>> end
>>>
>>> end
>>>
>>>
>>> *power:*
>>>
>>>
>>> for k=1:epochs
>>>
>>> for i=1:channels
>>>
>>> for j=1:frames
>>>
>>> power(i,1,k)=sum([EEG.icaact(i,j,k)]*[EEG.icaact(i,j,k)])/fr
>>> ames;
>>>
>>> end
>>>
>>> end
>>>
>>> end
>>>
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>>
>>
>>
>> --
>> Makoto Miyakoshi
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego
>>
>
>
--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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