Abstract
Atrial fibrillation (AF) is the most common type of cardiac arrhythmia. Although not life-threatening itself, AF significantly increases the risk of stroke and myocardial infarction. Current tools available for screening and monitoring of AF are inadequate and an unobtrusive alternative, suitable for long-term use, is needed. This paper evaluates an atrial fibrillation detection algorithm based on wrist photoplethysmographic (PPG) signals. 29 patients recovering from surgery in the post-anesthesia care unit were monitored. 15 patients had sinus rhythm (SR, 67.5± 10.7 years old, 7 female) and 14 patients had AF (74.8± 8.3 years old, 8 female) during the recordings. Inter-beat intervals (IBI) were estimated from PPG signals. As IBI estimation is highly sensitive to motion or other types of noise, acceleration signals and PPG waveforms were used to automatically detect and discard unreliable IBI. AF was detected from windows of 20 consecutive IBI with 98.45±6.89% sensitivity and 99.13±1.79% specificity for 76.34±19.54% of the time. For the remaining time, no decision was taken due to the lack of reliable IBI. The results show that wrist PPG is suitable for long term monitoring and AF screening. In addition, this technique provides a more comfortable alternative to ECG devices.
Original language | English |
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Title of host publication | 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 |
Publisher | IEEE |
Pages | 4844-4847 |
Number of pages | 4 |
Volume | 2018-July |
ISBN (Electronic) | 978-1-5386-3646-6 |
DOIs | |
Publication status | Published - 2018 |
Publication type | A4 Article in conference proceedings |
Event | Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Duration: 1 Jan 2019 → … |
Conference
Conference | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Period | 1/01/19 → … |
Publication forum classification
- Publication forum level 1