How to preprocess the ECG datset so that the QRS detection algorithms are more efficient

I have the ECG dataset from Physionet 2017 (https://physionet.org/content/challenge-2017/1.0.0/REFERENCE-v3.csv)

ecg.array(1, :);

As seen in the above diagram, the QRS complexes are not quite distinctly seen. How to do this?

Link for file: https://drive.google.com/file/d/1vXb3zY1hlKdXbn6cSvrm7O7OfL1Nx_qe/view?usp=share_link

Answer 1

[Nehemiae]

Hello,

In order to see the plot more clearly, the “xlim” and “ylim” functions can be used to set the limits on the x-axis and y-axis respectively. Furthermore, if the dataset is pre-processed to remove the noise values, the plot will be more distinct. The documentation on specifying axis limits (https://www.mathworks.com/help/matlab/creating_plots/change-axis-limits-of-graph.html) can help in this regard.