مؤتمر
The Performance of Wrist Photoplethysmography in Monitoring Atrial Fibrillation in Post Cardiac Surgery Patients
| العنوان: | The Performance of Wrist Photoplethysmography in Monitoring Atrial Fibrillation in Post Cardiac Surgery Patients |
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| المؤلفون: | Tarniceriu, Adrian, Vuohelainen, Vilma, Haddad, Serj, Halkola, Tuomas, Parak, Jakub, Laurikka, Jari, Vehkaoja, Antti |
| المساهمون: | Tampere University, Clinical Medicine, BioMediTech, Research group: Sensor Technology and Biomeasurements (STB) |
| بيانات النشر: | Computing in Cardiology |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | 213 Electronic, automation and communications engineering, electronics |
| الوصف: | Background and Aim: Atrial fibrillation (AF) is the most common cardiac arrhythmia, associated with an increased risk of thromboembolic ischemic stroke. Subjects with CHA2DS2-VASc score greater than one have 2.2% or higher annual risk for stroke if not treated with anticoagulant medicine. The presence of AF is normally examined with 24 or 48 h ECG Holter monitoring that is inefficient in case of rarely occurring paroxysmal AF episodes. We evaluated the performance of a wrist-worn photoplethysmografic (PPG) device in monitoring cardiac rhythm and detecting AF. While being comfortable to wear, wrist PPG could provide a solution for continuous 24/7 monitoring. Methods: 30 cardiac surgery patients (9 female, 21 male, 69.3 ± 6.9 years old) were recruited for the study in Cardiac surgery ward at Tampere University Hospital. The subjects were monitored for 24 hours with a wrist-worn PPG monitor (PulseOn Oy, Espoo, Finland) leading to roughly 700 hours of data. 5-lead Holter ECG was used as a reference. The monitoring was started on 2nd to 4th post-operative day and the subjects were mostly staying in bed during the monitoring. The study was approved by the local ethical committee. Inter-beat-intervals (IBI) including signal quality information were estimated from the PPG and further used to detect AF in 5-minute intervals. Results: 12.3 % of the 5-minute segments were discarded due to inadequate signal quality and the remaining data was classified to AF and non-AF. Three out of the 30 subject developed AF during the monitoring period leading to 22 hours of AF data. All data segments during AF were correctly labeled as AF providing 100% sensitivity. From the non-AF data, 96.1% was correctly classified. Most of the incorrect classifications resulted from the presence of very frequent ectopic beats (> 10 per minute). Ignoring these segments improved the specificity to 99.7%. ; Peer reviewed |
| نوع الوثيقة: | conference object |
| وصف الملف: | fulltext |
| اللغة: | English |
| تدمد: | 2325-887X 20200129 |
| العلاقة: | Computing in cardiology; 2019-September; researchoutputwizard: 38fb0540; ORCID: /0000-0003-3721-3467/work/68124892; Sole: 52527690; ORCID: /0000-0001-7253-6048/work/136845648; https://trepo.tuni.fi/handle/10024/129794Test; URN:NBN:fi:tuni-202001291639; http://www.cinc.org/archives/2019/pdf/CinC2019-374.pdfTest |
| DOI: | 10.23919/CinC49843.2019.9005734 |
| الإتاحة: | https://doi.org/10.23919/CinC49843.2019.9005734Test https://trepo.tuni.fi/handle/10024/129794Test http://www.cinc.org/archives/2019/pdf/CinC2019-374.pdfTest |
| حقوق: | cc by 4.0 ; openAccess |
| رقم الانضمام: | edsbas.16E29C63 |
| قاعدة البيانات: | BASE |
| تدمد: | 2325887X 20200129 |
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| DOI: | 10.23919/CinC49843.2019.9005734 |