- Extract Additional Information: Using regexp to extract the number of patients, number of devices, and external conditions from the filename.
- Convert External Condition to Numeric: Using a containers.Map to map external condition strings to numeric values.
- Append Additional Information: Adding the extracted information to each row of the data matrix before concatenation.
Add features tosignal matrix
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Hello, 
With the following code I am concatenating signal matrices in mat files having in file names the following strings: *trial*ECG*data.
However I would like to include in the added columns the lost information like which are not included in the new file names:
- number of patient
- number of device
- external condition
Here is the following code:
names = {'Alessandra', 'Alfredo', 'Carla', 'Giulia'}
for i = 1: length(names)
    filePattern = fullfile(myFolder,['*',names{i},'*trial*ECG*data.mat']) % Change to whatever pattern you need.
    theFiles = dir(filePattern)
    data = [];
    for k = 1 : length(theFiles)
      new_data = [];
      baseFileName = theFiles(k).name;
      fullFileName = fullfile(myFolder, baseFileName)
      display("new_data")
      new_data = load(fullFileName, '-ascii');
      size(new_data)
      if (isrow(new_data) == 1)
          data = [data; new_data'];
      else 
          data = [data; new_data];
      end
      size(data)
      data;
    end
    outFullFileName = fullfile(myFolder,[names{i},'_trial_ECG_data.txt'])
    save(outFullFileName, 'data', '-tabs', '-ascii')
end
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回答 (1 件)
  Aditya
      
 2024 年 7 月 4 日
        Hi Elzbieta,
To include additional information such as the number of patients, number of devices, and external conditions in the concatenated signal matrix, you will need to modify the code to extract and append this information to the data matrix. Assuming that this information is available in the filenames or can be extracted from the files, here is an updated version of your code:
names = {'Alessandra', 'Alfredo', 'Carla', 'Giulia'};
for i = 1: length(names)
    filePattern = fullfile(myFolder, ['*', names{i}, '*trial*ECG*data.mat']);
    theFiles = dir(filePattern);
    data = [];
    for k = 1 : length(theFiles)
        baseFileName = theFiles(k).name;
        fullFileName = fullfile(myFolder, baseFileName);
        new_data = load(fullFileName, '-ascii');
        % Extract information from filename
        tokens = regexp(baseFileName, 'patient(\d+)_device(\d+)_condition(\w+)_trial_ECG_data.mat', 'tokens');
        if ~isempty(tokens)
            patientNumber = str2double(tokens{1}{1});
            deviceNumber = str2double(tokens{1}{2});
            externalCondition = tokens{1}{3};
        else
            patientNumber = NaN;
            deviceNumber = NaN;
            externalCondition = 'Unknown';
        end
        % Convert condition to numeric
        conditionMap = containers.Map({'conditionA', 'conditionB', 'conditionC'}, [1, 2, 3]);
        conditionNumeric = conditionMap(externalCondition);
        % Append information
        numRows = size(new_data, 1);
        additionalInfo = repmat([patientNumber, deviceNumber, conditionNumeric], numRows, 1);
        new_data = [new_data, additionalInfo];
        % Concatenate data
        data = [data; new_data];
    end
    outFullFileName = fullfile(myFolder, [names{i}, '_trial_ECG_data.txt']);
    save(outFullFileName, 'data', '-tabs', '-ascii');
end
Changes made:
I hope this helps!
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