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How to extract signal segments from a long signal given each segment's start and end points

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Hello,
I have a about 10-min signal sequence from the sensor, it looks like this:
And I have labeled many sequence in this signal, the start-end point (time point) of each segment look like this:
(ROI limits here are with second unit, the sample frequency = 50Hz )
Now I want to extract each segment as a vector without doing this by manually typing in their start-end point (ROI limits), so how can I do that?
I have an idea, which is using cell array to store those segments, but I don't know how to do that, may be using a loop, but how should I index them? Thanks!

Réponse acceptée

Star Strider
Star Strider le 26 Avr 2022
Perhaps —
First load ‘Time’ and ‘combinedAccel_01’ and ‘ROILimits’ into the workspace.
Then extract them to a cell array:
for k = 1:size(ROILimits,1)
idxrng = ROILimits(k,1) : ROILimits(k,2);
ROI{k} = [Time(idxrng) combinedAccel_01(idxrng)];
end
That should produce a cell array of column vectors of the time and data vectors.
Make appropriate changes depending on how the data are imported. Without hjaving them to work with, this is as far as I can go with the code.
.
  2 commentaires
yuh zhang
yuh zhang le 26 Avr 2022
hello, I have solved this problem using the script you provided, thank you very much!
but I modified it a little bit, that is, the ROILimits is measured in time(s), I used function round(ROILimits), so that it can be indexed. Thanks again!
Star Strider
Star Strider le 26 Avr 2022
As always, my pleasure!
Rather than rounding, one option could be:
for k = 1:size(ROILimits,1)
idxrng = (Time >= ROILimits(k,1)) & (Time <= ROILimits(k,2));
ROI{k} = [Time(idxrng) combinedAccel_01(idxrng)];
end
The ‘idxrng’ variable is now a logical vector that can be used to reference the respective rows.
.

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Plus de réponses (1)

Image Analyst
Image Analyst le 26 Avr 2022
Can you extract value and then pass it to findgroups()? Then use that to extract the groups, like with indexing or the bwlabel() function. Attach your data if you need more help, but after reading this:
  1 commentaire
Image Analyst
Image Analyst le 26 Avr 2022
Maybe if you want to do stats on each group you can use splitapply(), grpstats(), or groupsummary().

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