you can use the rdmat and rdann functions from the WFDB Toolbox for MATLAB. Here's an example of how you can load the .dat, .hea, and .atr files:
% Add the WFDB Toolbox for MATLAB to your MATLAB path
addpath('path/to/wfdb-matlab');
% Specify the file paths for the .dat, .hea, and .atr files
datFile = 'path/to/ecg_data.dat';
heaFile = 'path/to/ecg_data.hea';
atrFile = 'path/to/ecg_data.atr';
% Load the .dat file
ecgSignal = rdmat(datFile);
% Load the .hea file to get the sampling frequency
heaInfo = readheader(heaFile);
fs = heaInfo.freq;
% Load the .atr file to get the beat annotations
[~, beatAnnotations] = rdann(heaInfo.recordname, 'atr', 1);
% Perform further processing or analysis with the loaded data
% ...
% Example: Plotting the ECG signal
t = (0:length(ecgSignal)-1) / fs;
figure;
plot(t, ecgSignal);
xlabel('Time (s)');
ylabel('Amplitude');
title('ECG Signal');
% Example: Display beat annotations
disp(beatAnnotations);
Make sure to replace 'path/to/wfdb-matlab', 'path/to/ecg_data.dat', 'path/to/ecg_data.hea', and 'path/to/ecg_data.atr' with the appropriate file paths in your system.
The WFDB Toolbox for MATLAB provides functions to read and process PhysioNet data, including the MIT-BIH Arrhythmia Database files (.dat, .hea, .atr). It allows you to load the ECG signal, extract beat annotations, and perform various signal processing and analysis tasks.
You can download the WFDB Toolbox for MATLAB from the PhysioNet website (https://physionet.org/content/wfdb-app-matlab/). Make sure to follow the installation instructions provided to set up the toolbox in MATLAB.
Note: If you encounter any issues loading the dataset using the rdmat and rdann functions, please ensure that the files are in the correct format and that the toolbox is properly installed and configured in MATLAB.
