creating structure based on txt file

Hello,

I am trying to create a structure based on comments in txt files in such shape.

Record #: 92

Notes :

jola

2000

siedzenie

2024-07-3121:37:08Record #: 92

Notes :

jola

2000

siedzenie

However I am receiving struct onlhy for one person.

This is my attempt:

subject = {'gosia', 'kasia', 'jola', 'Kuba', 'robert', 'Tadeusz', 'Beata', 'Anna', 'pawel', 'piotr' };

condition = {'siedzaca', 'siedzenie', 'chodzenie', 'bieganie', 'truchtanie', 'dreptanie'};

freqs = {'freq1000', 'freq2000'};

%------get all measurement files

raw_file_path = 'C:\Users\Ela\Documents\MATLAB\database\measurements\raw\'

%file = 'Device_21_Volts.txt';

% ----- get measurements files

filePattern = fullfile(raw_file_path,['Device*Volts.txt']) % Change to whatever pattern you need.

theFiles = dir(filePattern)

for kFile = 1 : length(theFiles)

baseFileName = theFiles(kFile).name

fullFileName = fullfile(raw_file_path, baseFileName)

%------extract ecg signal

rawData = readmatrix(baseFileName,'DecimalSeparator',',');

disp(rawData(1,:)); % display row 1 of the data

% Create a structure to hold the ECG data

ecgData = struct();

ecg = struct();

% Therefore

ecgData.leadI=rawData(:,2);

ecgData.leadII=rawData(:,3);

% The augmented vector leads and lead III are derived as

% III=II-I; aVR=-(I+II)/2; aVL=I-II/2; aVF=II-I/2

ecgData.leadIII=ecgData.leadII-ecgData.leadI;

ecgData.aVR=-(ecgData.leadI+ecgData.leadII)/2;

ecgData.aVL=ecgData.leadII/2;

ecgData.aVF=ecgData.leadII-ecgData.leadI/2;

ecgData.V1 = rawData(:,8);

ecgData.V2 = rawData(:,4);

ecgData.V5 = rawData(:,7);

s = struct;

%------get measurement

file = fullFileName

field=textread(file,'%s','delimiter','\n')

%-------create empty struct

%-------for each subject

for isubject = 1:length(subject)

disp('found or not?')

subject{isubject}

find(~cellfun(@isempty,strfind(field,'piotr'))==true)

if (find(~cellfun(@isempty,strfind(field,subject{isubject}))==true))

for icond = 1:length(condition)

if (find(~cellfun(@isempty,strfind(field,condition{icond}))==true))

if (strcmp(condition{icond},'siedzaca') || strcmp(condition{icond},'siedzenie'))

cond = 'sitting';

elseif (strcmp(condition{icond},'chodzenie') || strcmp(condition{icond},'bieganie') || strcmp(condition{icond},'truchtanie') || strcmp(condition{icond},'dreptanie'))

cond = 'walking';

else

cond = 'sitting';

end

%-----add sampling frequency to structure

if (find(~cellfun(@isempty,strfind(field,freqs{2}))==true))

s.(subject{isubject}).(cond).(freqs{2}) = ecgData();

else

s.(subject{isubject}).(cond).(freqs{1}) = ecgData();

end

else

cond = 'sitting';

if (find(~cellfun(@isempty,strfind(field,freqs{2}))==true))

s.(subject{isubject}).(cond).(freqs{2}) = ecgData();

else

s.(subject{isubject}).(cond).(freqs{1}) = ecgData();

end

end

end

else

subject{isubject}

file

disp('subject subject{isubject} not found');

continue;

end

end

end

Answer 1

[Umar]

Hi @Elzbieta,

The issue you are encountering likely stems from the way you are checking for the presence of subjects and conditions in your text files. In your current implementation, you are using

find(~cellfun(@isempty,strfind(field,subject{isubject}))==true) 

to check for the existence of a subject. If the subject is not found, the loop continues without adding any data to the structure for that subject. To ensure that you capture data for all subjects, consider the following adjustments.

Check for All Subjects: Ensure that your condition checks are comprehensive and correctly structured. You may want to use a more robust method to verify if a subject exists in the file.

Initialize the Structure: Make sure that the structure s is initialized outside the loop and that you are correctly appending data for each subject and condition.

Debugging: Add debugging statements to track which subjects and conditions are being processed. This will help you identify where the logic may be failing.

Here is a refined snippet of your code to illustrate these points:

% Initialize the structure outside the loop
s = struct();

for isubject = 1:length(subject)
  subject_found = any(~cellfun(@isempty, strfind(field, subject{isubject})));
  if subject_found
      for icond = 1:length(condition)
          condition_found = any(~cellfun(@isempty, strfind(field, 
          condition{icond})));
          if condition_found
              % Determine condition type
              cond = determineCondition(condition{icond});
              % Add data to structure
              if any(~cellfun(@isempty, strfind(field, freqs{2})))
                  s.(subject{isubject}).(cond).(freqs{2}) = ecgData;
              else
                  s.(subject{isubject}).(cond).(freqs{1}) = ecgData;
              end
          end
      end
  else
      disp(['Subject ' subject{isubject} ' not found in file.']);
  end
end

function cond = determineCondition(condition)
  switch condition
      case {'siedzaca', 'siedzenie'}
          cond = 'sitting';
      case {'chodzenie', 'bieganie', 'truchtanie', 'dreptanie'}
          cond = 'walking';
      otherwise
          cond = 'unknown';
  end
end

This approach should help you capture data for all subjects and conditions as intended.

Hope this helps.