Wavelet-Based Filtering for the Clinical Evaluation of Atrial Fibrillation.

摘要

This paper describes the work in progress to develop a new ECG signal filtering technique to aid the clinical analysis of atrial fibrillation. The method separates the wavelet transform modulus maxima corresponding to the signal scalogram into a number of components. These groups of maxima lines are then used to reconstruct separate signals representing each of the features, including atrial fibrillation.