How to split time series array into subarrays according to sampling rate?
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Hi, I have a data acquired from ECG sensor sampled at 128 sps I want to make subarrays each contains 256 sample?
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Krithika A
on 24 Jul 2018
Edited: Krithika A
on 24 Jul 2018
sps = 128;
n = 768; % 128*6 = 768, so a 6s long signal with 128 sps
x = randn(1,n);
y = reshape(x, [], sps*2);
9 Comments
Guillaume
on 25 Jul 2018
It should be indeed
reshape(x, [], 50)
to divide the data into 50 columns or even better:
reshape(x, 256, [])
to split the data into columns of 256 elements. In each case, each subarray ends up as a column.
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