Time Series Partitioning of EMG data

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

Answer 1

[Mathieu NOE]

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
    

[C PRASAD]

Thank you sir

[Mathieu NOE]

My pleasure !

[C PRASAD]

After Splitting the data, How can I save each Partitioning and use the data for the further Processing.

[Mathieu NOE]

hello

you index the buffer

data_buffer(:,ci) or data_buffer(ci,:)

depending if your data array is row or column oriented

[C PRASAD]

Thanks for the response Sir,

If I use data_buffer(:,ci), I can only save the last Part of the signal Only

For Example I'm consdiering a signal with 40000 samples and used to split into 5 parts by considering 8000 as buffer value.The syntax plotting all the 5 parts of the signal but saving only last i.e. 5th part (32001 to 40000 samples) only.

But I want to save all the five parts i.e. (1 to 8000) (8001 to 16000) (16001 to 24000)(24001 to 32000) and (320001 to 40000) samples indicidually.Can you please help me

[Mathieu NOE]

samples = 40000;
buffer = 8000;
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(:,ci) = data(start_index:stop_index)
    
    figure(ci)
    plot(data_buffer(:,ci))
end

[C PRASAD]

thansyou very much sir

[Mathieu NOE]

again, my pleasure !