Hello MATLAB community,
I’m working on ECG classification using MATLAB, and my data is stored in CSV format with 13 columns (time + 12 leads). I’m interested in extracting PQRST segments using the segmentation method described in this MATLAB code: ECG Segmentation and Filtering.
I have a few questions regarding preprocessing:
Should I apply low-pass filters to all recordings to enhance signal quality?
I intend to retain various types of noise in the data to ensure model robustness. What are your recommendations on managing noise while preserving the integrity of PQRST segments?
Additionally, I’m curious about segmentation approach:
Should I perform segmentation separately for each of the 12 leads, or should I merge them before segmentation? What would be the pros and cons of each approach?
Here an example of an ECG data:

Any insights or suggestions on adapting the segmentation method and handling data preprocessing would be greatly appreciated. Thank you!Hello MATLAB community,
I’m working on ECG classification using MATLAB, and my data is stored in CSV format with 13 columns (time + 12 leads). I’m interested in extracting PQRST segments using the segmentation method described in this MATLAB code: ECG Segmentation and Filtering.
I have a few questions regarding preprocessing:
Should I apply low-pass filters to all recordings to enhance signal quality?
I intend to retain various types of noise in the data to ensure model robustness. What are your recommendations on managing noise while preserving the integrity of PQRST segments?
Additionally, I’m curious about segmentation approach:
Should I perform segmentation separately for each of the 12 leads, or should I merge them before segmentation? What would be the pros and cons of each approach?
Here an example of an ECG data:

Any insights or suggestions on adapting the segmentation method and handling data preprocessing would be greatly appreciated. Thank you! Hello MATLAB community,
I’m working on ECG classification using MATLAB, and my data is stored in CSV format with 13 columns (time + 12 leads). I’m interested in extracting PQRST segments using the segmentation method described in this MATLAB code: ECG Segmentation and Filtering.
I have a few questions regarding preprocessing:
Should I apply low-pass filters to all recordings to enhance signal quality?
I intend to retain various types of noise in the data to ensure model robustness. What are your recommendations on managing noise while preserving the integrity of PQRST segments?
Additionally, I’m curious about segmentation approach:
Should I perform segmentation separately for each of the 12 leads, or should I merge them before segmentation? What would be the pros and cons of each approach?
Here an example of an ECG data:

Any insights or suggestions on adapting the segmentation method and handling data preprocessing would be greatly appreciated. Thank you! ecg, ptb-xl, signal processing, pqrst, segmentation MATLAB Answers — New Questions

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