Wavelet-Based Filtering for the Clinical Evaluation of Atrial Fibrillation
NAPIER UNIV EDINBURGH (SCOTLAND) CIVILENGINEERING GROUP SCHOOL OF BUILT ENVIRONMENT
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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.
- Medicine and Medical Research
- Numerical Mathematics