Detection of Pre-and Post-Trigger Atrial Fibrillation in Long-Term Photoplethysmogram Signals Acquired in Free-Living
(2023) 50th Computing in Cardiology, CinC 2023- Abstract
Modifiable factors, such as alcohol or physical exertion, may trigger atrial fibrillation (AF) episodes. Identifying and eliminating these triggers can lead to effective strategies which reduce risk of AF recurrence. This study aims to evaluate pre-and post-trigger AF in long-term photo-plethysmogram (PPG) signals obtained during daily living from patients with paroxysmal AF. Thirty-seven patients were instructed to wear a wrist-worn device for a week. They were also asked to log suspected triggers using a smartphone app. Of these patients, 15 experienced AF episodes, resulting in an average AF burden of 0.15. The results indicate that longer post-trigger analysis time intervals resulted in better performance of PPG-based AF detection.... (More)
Modifiable factors, such as alcohol or physical exertion, may trigger atrial fibrillation (AF) episodes. Identifying and eliminating these triggers can lead to effective strategies which reduce risk of AF recurrence. This study aims to evaluate pre-and post-trigger AF in long-term photo-plethysmogram (PPG) signals obtained during daily living from patients with paroxysmal AF. Thirty-seven patients were instructed to wear a wrist-worn device for a week. They were also asked to log suspected triggers using a smartphone app. Of these patients, 15 experienced AF episodes, resulting in an average AF burden of 0.15. The results indicate that longer post-trigger analysis time intervals resulted in better performance of PPG-based AF detection. The sensitivity was highest for the 16-h post-trigger interval (0.76) and lowest for the 4-h interval (0.43). In contrast, the specificity slightly decreased with an increasing longer post-trigger analysis time interval, being 0.98 and 0.95 for the 4-h and 16-h intervals, respectively. The PPG-based post-trigger AF burden was approximately half of that determined by the annotated ECG-based AF pattern. The study suggests that long-term PPG-based monitoring is a suitable alternative for detecting post-trigger AF instead of ECG-based. However, the accuracy of AF burden estimation using PPG-based technology still calls for improvement.
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- author
- Plusciauskaite, Vilma ; Butkuviene, Monika ; Solosenko, Andrius ; Janciuleviciute, Karolina ; Marozas, Vaidotas ; Sornmo, Leif LU and Petrenas, Andrius
- organization
- publishing date
- 2023
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Computing in Cardiology, CinC 2023
- publisher
- IEEE Computer Society
- conference name
- 50th Computing in Cardiology, CinC 2023
- conference location
- Atlanta, United States
- conference dates
- 2023-10-01 - 2023-10-04
- external identifiers
-
- scopus:85182322108
- ISBN
- 9798350382525
- DOI
- 10.22489/CinC.2023.004
- language
- English
- LU publication?
- yes
- id
- 7270a5b8-7581-42ca-b9a8-e56811c06851
- date added to LUP
- 2024-02-15 14:42:54
- date last changed
- 2024-02-15 14:44:45
@inproceedings{7270a5b8-7581-42ca-b9a8-e56811c06851,
abstract = {{<p>Modifiable factors, such as alcohol or physical exertion, may trigger atrial fibrillation (AF) episodes. Identifying and eliminating these triggers can lead to effective strategies which reduce risk of AF recurrence. This study aims to evaluate pre-and post-trigger AF in long-term photo-plethysmogram (PPG) signals obtained during daily living from patients with paroxysmal AF. Thirty-seven patients were instructed to wear a wrist-worn device for a week. They were also asked to log suspected triggers using a smartphone app. Of these patients, 15 experienced AF episodes, resulting in an average AF burden of 0.15. The results indicate that longer post-trigger analysis time intervals resulted in better performance of PPG-based AF detection. The sensitivity was highest for the 16-h post-trigger interval (0.76) and lowest for the 4-h interval (0.43). In contrast, the specificity slightly decreased with an increasing longer post-trigger analysis time interval, being 0.98 and 0.95 for the 4-h and 16-h intervals, respectively. The PPG-based post-trigger AF burden was approximately half of that determined by the annotated ECG-based AF pattern. The study suggests that long-term PPG-based monitoring is a suitable alternative for detecting post-trigger AF instead of ECG-based. However, the accuracy of AF burden estimation using PPG-based technology still calls for improvement.</p>}},
author = {{Plusciauskaite, Vilma and Butkuviene, Monika and Solosenko, Andrius and Janciuleviciute, Karolina and Marozas, Vaidotas and Sornmo, Leif and Petrenas, Andrius}},
booktitle = {{Computing in Cardiology, CinC 2023}},
isbn = {{9798350382525}},
language = {{eng}},
publisher = {{IEEE Computer Society}},
title = {{Detection of Pre-and Post-Trigger Atrial Fibrillation in Long-Term Photoplethysmogram Signals Acquired in Free-Living}},
url = {{http://dx.doi.org/10.22489/CinC.2023.004}},
doi = {{10.22489/CinC.2023.004}},
year = {{2023}},
}