how to use segmentSignals() in Deep learning

Hello

I want to use a deep learning Example in matlab, which is in beloew link:

https://www.mathworks.com/help/signal/ug/classify-ecg-signals-using-long-short-term-memory-networks.html

In the example, function segmentSignals() is not existing. I have tried with matlab 2020a and tried it online in which both sends me an error that this funcrion is not defined.

would you please provide me the fucntion?

Best Regards

Amin

[Asiya Al-Busaidi]

I am getting the same error.

Did you manage to resolve this issue?

[호준 임]

Im pass this functinon but it works !

[Fan Peng]

function [signalsOut, labelsOut] = segmentSignals(signalsIn,labelsIn)

%SEGMENTSIGNALS makes all signals in the input array 9000 samples long

% Copyright 2017 The MathWorks, Inc.

targetLength = 9000;

signalsOut = {};

labelsOut = {};

for idx = 1:numel(signalsIn)

x = signalsIn{idx};

y = labelsIn(idx);

% Ensure column vector

x = x(:);

% Compute the number of targetLength-sample chunks in the signal

numSigs = floor(length(x)/targetLength);

if numSigs == 0

continue;

end

% Truncate to a multiple of targetLength

x = x(1:numSigs*targetLength);

% Create a matrix with as many columns as targetLength signals

M = reshape(x,targetLength,numSigs);

% Repeat the label numSigs times

y = repmat(y,[numSigs,1]);

% Vertically concatenate into cell arrays

signalsOut = [signalsOut; mat2cell(M.',ones(numSigs,1))]; %#ok<AGROW>

labelsOut = [labelsOut; cellstr(y)]; %#ok<AGROW>

end

labelsOut = categorical(labelsOut);

end

[Aisha]

any body solve this prblem please???????

[Mika]

Thank you @Fan Peng, this worked wonderfully