adnan-sammi asked . 2021-04-22

Waveform Segmentation Using Deep Learning: Error on getmask

We are implementing it as described in [Waveform Segmentation Using Deep Learning].
I get an error in the following process and cannot proceed.
 
type getmask.m
trainDs = transform(trainDs, @getmask);
testDs = transform(testDs, @getmask);
The error statement is as follows
 
Error: nargin
The function getmask does not exist.
 
Error: matlab.io.datastore.(148)
tFuncArgs = nargin(fun);
 
Error:matlab.io.datastore.internal.buildTransformedDatastore(line 65)
tds =
matlab.io.datastore.TransformedDatastore(datastores,
fcn, ...
 
Error: matlab.io.Datastore/transform (line 359)
dsnew =
matlab.io.datastore.internal.buildTransformedDatastore(varargin{:});
 
Error: segmentation_default (line 30)
trainDs = transform(trainDs, @getmask);

deep learning , matlab , simulink , getmask, waveform segmentat...

Expert Answer

Prashant Kumar answered . 2024-03-25 16:36:25

You need to create it from the code they gave you on the page:
 
 
function outputCell = getmask(inputCell)
%GETMASK Convert region labels to a mask of labels of size equal to the
%size of the input ECG signal.
%
%   inputCell is a two-element cell array containing an ECG signal vector
%   and a table of region labels. 
%
%   outputCell is a two-element cell array containing the ECG signal vector
%   and a categorical label vector mask of the same length as the signal. 

% Copyright 2020 The MathWorks, Inc.

sig = inputCell{1};
roiTable = inputCell{2};
L = length(sig);
M = signalMask(roiTable);

% Get categorical mask and give priority to QRS regions when there is overlap
mask = catmask(M,L,'OverlapAction','prioritizeByList','PriorityList',[2 1 3]);

% Set missing values to "n/a"
mask(ismissing(mask)) = "n/a";

outputCell = {sig,mask};
end


This example shows how to segment human electrocardiogram (ECG) signals using recurrent deep learning networks and time-frequency analysis.
openExample('deeplearning_shared/WaveformSegmentationUsingDeepLearningExample')


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