Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate.
Characterizing patient-specific atrial conduction properties is important for understanding arrhythmia drivers, for predicting potential arrhythmia pathways, and for personalising treatment approaches. One metric that characterizes the health of the myocardial substrate is atrial conduction velocity...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 60; no. 9; pp. 2463 - 2479 |
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| Autores principales: | , , |
| Formato: | equations & formulas pictorial review Journal Article |
| Publicado: |
Springer Nature
Sep2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158447329&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158447329 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2022 vid: 60 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 158447329 158108920 158447329 NLM35867323 158447329 10.1007/s11517-022-02621-0 NLM35867323 158447329 ppf: 2463 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Atrial conduction velocity mapping: clinical tools, algorithms and approaches for understanding the arrhythmogenic substrate. aug: au: Coveney, Sam Cantwell, Chris Roney, Caroline affil: Leeds Institute of Cardiac and Metabolic Medicine, University of Leeds, Leeds, UK sug: subj: Atrial Fibrillation Heart Conduction System Heart Atrium Arrhythmia Algorithms Heart Rate ab: Characterizing patient-specific atrial conduction properties is important for understanding arrhythmia drivers, for predicting potential arrhythmia pathways, and for personalising treatment approaches. One metric that characterizes the health of the myocardial substrate is atrial conduction velocity, which describes the speed and direction of propagation of the electrical wavefront through the myocardium. Atrial conduction velocity mapping algorithms are under continuous development in research laboratories and in industry. In this review article, we give a broad overview of different categories of currently published methods for calculating CV, and give insight into their different advantages and disadvantages overall. We classify techniques into local, global, and inverse methods, and discuss these techniques with respect to their faithfulness to the biophysics, incorporation of uncertainty quantification, and their ability to take account of the atrial manifold. pubtype: Academic Journal doctype: equations & formulas pictorial review Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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