Abstract
This study proposes a novel noninvasive ECG-based approach to accurately quantify differences in the atrial activity (AA) signals of atrial fibrillation (AF) patients characterized by very similar global AF organization.High-density body surface potential maps were recorded in 63 patients in persistent AF prior to electrical cardioversion (32 recurrences occurred after 4-6 weeks). AF substrate complexity was quantified as the degree of overall temporal organization of the AA pattern, determined from multi-variable unthresholded recurrence plots (RP).Results showed that non-recurrent patients were characterized by temporally more stable propagation patterns than recurrent patients, suggesting a lower complexity of the AF substrate in the former. This was used to discriminate between recurrent and non-recurrent AF patients following electrical cardioversion with an accuracy of 72%.Noninvasive assessment of AF substrate complexity in patients characterized by very similar levels of AF progression was improved by applying RP-based analysis on extracted AA signals. The proposed approach may help improving AF treatment selection and success.
Original language | English |
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Title of host publication | Computing in Cardiology |
Place of Publication | Vancouver, Canada |
Publisher | IEEE |
Pages | 677-680 |
Number of pages | 4 |
Volume | 43 |
ISBN (Print) | 9781509008957 |
DOIs | |
Publication status | Published - 1 Sept 2016 |
Event | 43rd Computing in Cardiology Conference (CinC) - Vancouver, Canada Duration: 11 Sept 2016 → 14 Sept 2016 http://www.cinc2016.org/ |
Publication series
Series | Computing in Cardiology Conference |
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Volume | 43 |
ISSN | 2325-8861 |
Conference
Conference | 43rd Computing in Cardiology Conference (CinC) |
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Abbreviated title | CinC 2016 |
Country/Territory | Canada |
City | Vancouver |
Period | 11/09/16 → 14/09/16 |
Internet address |
Keywords
- COMPLEXITY