Single-lead f-wave extraction using diffusion geometry

John Malik, Neil Reed, Chun Li Wang, Hau Tieng Wu

Research output: Contribution to journalArticlepeer-review


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 . Main results: Two simulation schemes are considered, and the new algorithm 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.

Original languageEnglish (US)
Pages (from-to)1310-1334
Number of pages25
JournalPhysiological Measurement
Issue number7
StatePublished - Jun 22 2017


  • atrial fibrillation
  • diffusion distance
  • diffusion map
  • f-wave
  • non-local Euclidean median
  • QRST cancellation
  • single-lead ECG signal

ASJC Scopus subject areas

  • Biophysics
  • Physiology
  • Biomedical Engineering
  • Physiology (medical)


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