Abstract
Propagation of Atrial Activity during atrial fibrillation (AF) is a complex phenomenon characterized by a certain degree of recurrence (periodic repetition). In this study, we investigated the possibility to detect recurrence noninvasively from body surface potential map recordings in patients affected by persistent AF, and localize this recurrence both in time and space. Results showed that clusters of recurrence can be identified from body surface recordings in these patients. Moreover, the number of clusters detected and their location on the top-right of the back of the torso were significantly associated with AF recurrence 4 to 6 weeks after electrical cardioversion. This suggests that noninvasive quantification of recurrence in persistent AF patients is possible, and may contribute to improve patient stratification.
Original language | English |
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Title of host publication | 2020 28th European Signal Processing Conference (EUSIPCO) |
Publisher | IEEE Xplore |
Pages | 900-904 |
Number of pages | 5 |
ISBN (Print) | 9789082797053 |
DOIs | |
Publication status | Published - 21 Jan 2021 |
Event | 28th European Signal Processing Conference (EUSIPCO) - Amsterdam, Netherlands Duration: 18 Jan 2021 → 22 Jan 2021 https://eusipco2020.org/index.html |
Publication series
Series | European Signal Processing Conference |
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ISSN | 2219-5491 |
Conference
Conference | 28th European Signal Processing Conference (EUSIPCO) |
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Abbreviated title | EUSIPCO 2020 |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 18/01/21 → 22/01/21 |
Internet address |
Keywords
- Atrial fibrillation
- Noninvasive
- Recurrence analysis
- AF substrate complexity
- STANDARDIZATION