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
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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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