Figure 3
From: Design and evaluation of a knowledge-based ECG noise filtering framework
The process of dataset preparation for the proposed ECG noise detection and classification model. Firstly, raw noise-free ECG signals and different types of noise, such as BW, MA, and EM, are Minmax normalised to make the same amplitude as noise-free ECG signals. Secondly, all the ECG signals are split into \(4 \times N_s\) subjects to stop data leakage across the subjects. Finally, the total noise-free ECG \(4 \times N_s\) is divided into four groups: one for noise-free and the other three groups for combining (\(3 \times M_s\)) noisy data to generate noisy ECG segments.
