| Title |
Assessment of the relational strength between potential triggers and the occurrence of ectopic beats |
| Authors |
Pluščiauskaitė, Vilma ; Petrėnas, Andrius |
| DOI |
10.22489/CinC.2025.114 |
| Full Text |
|
| Is Part of |
Computing in cardiology (CinC): 52nd international conference, CINC 2025, São Paulo, Brazil: program & final papers.. [S.l.] : "Computing in cardiology". 2025, vol. 52, ID114, p. 1-4.. ISSN 2325-8861. eISSN 2325-887X |
| Abstract [eng] |
Atrial fibrillation (AF) is often preceded by increased ectopic activity; however, the role of triggering factors in the sequence of physiological processes is not yet understood. This study aims to explore the relation between potential triggers detected in wearable-based physiological signals and the occurrence of ectopic beats. Weeklong ECG and acceleration signals were collected during free-living activities from 165 patients with paroxysmal AF. The signals were used for detecting potential triggers due to physical exertion, psychophysiological stress, lying on the left side, and sleep disturbances. Ectopic beats in acceptable-quality ECG segments were detected by analyzing beat-to-beat intervals. To assess the relation between detected triggers and ectopic beats, a measure of relational strength γ is used accounting for pre- and posttrigger ectopic burden. A control γc is computed using randomly placed triggers. For some patients, γ increases for all trigger types relative to γc. Overall, sleep disorders and physical exertion emerged as the most significant triggers, associated with the largest increase in γ, with p = 0.028 and p = 0.046, respectively. No significant difference was observed between γ and γc for psychophysiological stress and lying on the left side. Detection of triggers that initiate ectopic activity may become an important aspect of personalized AF management. |
| Published |
[S.l.] : "Computing in cardiology" |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
