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Models:
Renee Dark
ReneeD/
ApneaECGAnalysis
0
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[409112]: / preprocessOfApneaECG / computeFeatures.m

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function a = computeFeatures(file_path)

% https://doi.org/10.21105/joss.00671

% https://zenodo.org/badge/latestdoi/128659224

addpath(genpath('G:\python project\apneaECGCode\preprocessOfApneaECG\BioSigKit'))

read_path = strcat(file_path, '\denoised_ecg_data.mat');

ecg_data = load(read_path);

ecg_data_1 = ecg_data.denoised_ecg_data;

a = 0;



Analysis = RunBioSigKit(ecg_data_1, 100, 0);          % Uses ECG1 as input,Fs=250

%-------------------- Call Pan Tompkins Algorithm ------------------- %

% Analysis.MTEO_qrstAlg;                        % Runs MTEO algorithm

% QRS = Analysis.Results.R;                     % Stores R peaks in QRS

%-------------------- Call MTEO QRS ------------------- %

try

    Analysis.MTEO_qrstAlg;                        % Runs MTEO algorithm

    Qwave = Analysis.Results.Q;

    Rwave = Analysis.Results.R;

    Swave = Analysis.Results.S;

    Twave = Analysis.Results.T;

    Pwave = Analysis.Results.P;

    EDR = Analysis.EDR_comp;

    save_path = strcat(file_path, '\Qwave.mat');

    save(save_path, 'Qwave');

    save_path = strcat(file_path, '\Rwave.mat');

    save(save_path, 'Rwave');

    save_path = strcat(file_path, '\Swave.mat');

    save(save_path, 'Swave');

    save_path = strcat(file_path, '\Twave.mat');

    save(save_path, 'Twave');

    save_path = strcat(file_path, '\Pwave.mat');

    save(save_path, 'Pwave');

    save_path = strcat(file_path, '\EDR.mat');

    save(save_path, 'EDR');

    disp('Successfully.');

catch

    disp('it is noise.');

end



end