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Time Series Partitioning of EMG data

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I have emg raw data of size 40000*1.I would like to segment the time channel in such a way that each channel consist of 2000 sample and plot it. total time should be divided into 20 channels where each channel consist of 2000 samples.can any one help me

Accepted Answer

Mathieu NOE
Mathieu NOE on 15 Sep 2021
hello
see example below :
samples = 40000;
buffer = 2000;
data = rand(samples,1)+10*((1:samples)/samples)'; % noisy ramp signal (dummy data)
for ci = 1:fix(samples/buffer)
start_index = 1+(ci-1)*buffer;
stop_index = min(start_index+ buffer-1,samples);
data_buffer = data(start_index:stop_index)
figure(ci)
plot(data_buffer)
end

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