Why the study?
Does a novel single-lead f-wave extraction algorithm based on diffusion geometry improve performance compared to traditional algorithms in simulated and real Holter signals?
Does a novel single-lead f-wave extraction algorithm based on diffusion geometry improve performance compared to traditional algorithms in simulated and real Holter signals?
A novel diffusion geometry-based algorithm for single-lead f-wave extraction outperforms traditional methods, showing potential for clinical application in Holter signal analysis.
May enhance single-lead Holter f-wave analysis; leaves open prospective clinical validation.
OBJECTIVE: A novel single-lead f-wave extraction algorithm based on the modern diffusion geometry data analysis framework is proposed. APPROACH: The algorithm is essentially an averaged beat subtraction algorithm, where the ventricular activity template is estimated by combining a newly designed metric, the 'diffusion distance', and the non-local Euclidean median based on the non-linear manifold setup. We coined the algorithm [Formula: see text]. MAIN RESULTS: Two simulation schemes are considered, and the new algorithm [Formula: see text] outperforms traditional algorithms, including the average beat subtraction, principal component analysis, and adaptive singular value cancellation, in different evaluation metrics with statistical significance. SIGNIFICANCE: The clinical potential is shown in the real Holter signal, and we introduce a new score to evaluate the performance of the algorithm.
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Malik et al. (2017) studied this question.
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