04 Apr Novel interpretable Feature set extraction and classification for accurate atrial fibrillation detection from ECGs
The objective of this study is to introduce a novel approach for detecting atrial fibrillation (AFib) by analyzing Lead II electrocardiograms (ECGs) using a distinct set of features. To achieve this goal, we employed advanced signal processing techniques, including proper orthogonal decomposition, continuous wavelet transforms,...