Key result
This review highlights signal processing techniques for extracting and characterizing atrial activity from non-invasive ECGs to aid in the clinical management of atrial fibrillation.
Advanced ECG signal processing techniques for extracting atrial activity offer potential clinical value in characterizing atrial fibrillation and guiding clinical management.
May aid non-invasive AF characterization from ECGs; leaves open prospective validation before clinical adoption.
The analysis of atrial fibrillation in non-invasive ECG recordings has received considerable attention in recent years, spurring the development of signal processing techniques for more advanced characterization of the atrial waveforms than previously available. The present paper gives an overview of different approaches to the extraction of atrial activity in the ECG and to the characterization of the resulting atrial signal with respect to its spectral properties. So far, the repetition rate of the atrial waves is the most studied parameter and its significance in clinical management is briefly considered, including the identification of pathomechanisms and prediction of therapy efficacy.
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Sörnmo et al. (2008) conducted a review in Atrial fibrillation. ECG signal processing techniques was evaluated. This review highlights signal processing techniques for extracting and characterizing atrial activity from non-invasive ECGs to aid in the clinical management of atrial fibrillation.
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