IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v514y2019icp9-19.html
   My bibliography  Save this article

Prediction of atrial fibrillation recurrence before catheter ablation using an adaptive nonlinear and non-stationary surface ECG analysis

Author

Listed:
  • Cui, Xingran
  • Chang, Hung-Chi
  • Lin, Lian-Yu
  • Yu, Chih-Chieh
  • Hsieh, Wan-Hsin
  • Li, Weihui
  • Peng, Chung-Kang
  • Lin, Jiunn-Lee
  • Lo, Men-Tzung

Abstract

The recurrence rate of atrial fibrillation (AF) following catheter ablation is high. Successful non-recurrence prediction before ablation is financially and physically beneficial. Atrial fibrillation cycle length (AFCL) has been used for such predictions. The study explored a nonlinear and non-stationary signal analysis technique, ensemble empirical model decomposition (EEMD), to capture intrinsic AFCL pattern. Twenty-eight AF patients underwent regular catheter ablation protocols and follow-up treatments. Surface ECG were recorded before ablation procedures, and preprocessed with QRS-T cancellation method to extract intrinsic AF signals, which were then analyzed with EEMD to calculate AFCL adaptively. Conventional Fourier-based dominant frequency (DF) analysis was conducted for comparison. During 12 months follow-up, 17 patients maintained sinus rhythm while 11 patients had AF recurrence. Patients who maintained sinus rhythm had longer AFCL (152.2 (145.0, 157.6) ms) than those with AF recurrence (138.8 (135.0, 145.2) ms). Patients with AFCL >152.1 ms had no recurrence (Kaplan–Meier curve analysis, P=0.006, hazard ratio: 5.68). With AFCL as a predictor of AF non-recurrence at 12 months, the area under ROC curve is 0.80, while with DF analysis, the area is 0.66. EEMD-based intrinsic AFCL measured from surface ECG may serve as an effective non-invasive catheter ablation screening tool for AF non-recurrence.

Suggested Citation

  • Cui, Xingran & Chang, Hung-Chi & Lin, Lian-Yu & Yu, Chih-Chieh & Hsieh, Wan-Hsin & Li, Weihui & Peng, Chung-Kang & Lin, Jiunn-Lee & Lo, Men-Tzung, 2019. "Prediction of atrial fibrillation recurrence before catheter ablation using an adaptive nonlinear and non-stationary surface ECG analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 9-19.
    • Handle: RePEc:eee:phsmap:v:514:y:2019:i:c:p:9-19
    DOI: 10.1016/j.physa.2018.09.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437118311464
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2018.09.020?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stanley Nattel, 2002. "New ideas about atrial fibrillation 50 years on," Nature, Nature, vol. 415(6868), pages 219-226, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael A Colman, 2019. "Arrhythmia mechanisms and spontaneous calcium release: Bi-directional coupling between re-entrant and focal excitation," PLOS Computational Biology, Public Library of Science, vol. 15(8), pages 1-34, August.
    2. Daniel M Lombardo & Flavio H Fenton & Sanjiv M Narayan & Wouter-Jan Rappel, 2016. "Comparison of Detailed and Simplified Models of Human Atrial Myocytes to Recapitulate Patient Specific Properties," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-15, August.
    3. Eberhard P Scholz & Paola Carrillo-Bustamante & Fathima Fischer & Mathias Wilhelms & Edgar Zitron & Olaf Dössel & Hugo A Katus & Gunnar Seemann, 2013. "Rotor Termination Is Critically Dependent on Kinetic Properties of IKur Inhibitors in an In Silico Model of Chronic Atrial Fibrillation," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-11, December.
    4. Narin, Ali & Isler, Yalcin & Ozer, Mahmut & Perc, Matjaž, 2018. "Early prediction of paroxysmal atrial fibrillation based on short-term heart rate variability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 56-65.
    5. Feng Ou & Nini Rao & Xudong Jiang & Mengyao Qian & Wei Feng & Lixue Yin & Xu Chen, 2013. "Analysis on Differential Gene Expression Data for Prediction of New Biological Features in Permanent Atrial Fibrillation," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-8, October.
    6. Yan-yan Li & Chuan-wei Zhou & Jian Xu & Yun Qian & Bei Wang, 2012. "CYP11B2 T-344C Gene Polymorphism and Atrial Fibrillation: A Meta-Analysis of 2,758 Subjects," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-7, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:514:y:2019:i:c:p:9-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.