The Accuracy of Atrial Fibrillation Detection from Wrist Photoplethysmography. A Study on Post-Operative Patients
| Autor: | Jarkko Harju, Adrian Tarniceriu, Zeinab Rezaei Yousefi, Antti Vehkaoja, Jakub Parak, Arvi Yli-Hankala, Ilkka Korhonen |
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| Přispěvatelé: | Tampere University, Department of Prehospital Emergency Care, Pain Management and Anaesthesiology, Faculty of Biomedical Sciences and Engineering, Research group: Sensor Technology and Biomeasurements (STB) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty 0206 medical engineering 02 engineering and technology 030204 cardiovascular system & hematology Wrist Electrocardiography 03 medical and health sciences 0302 clinical medicine Internal medicine Photoplethysmogram Atrial Fibrillation medicine Humans Sinus rhythm Postoperative Period Myocardial infarction Photoplethysmography Stroke Aged Aged 80 and over medicine.diagnostic_test business.industry Cardiac arrhythmia Atrial fibrillation Middle Aged medicine.disease 3126 Surgery anesthesiology intensive care radiology 020601 biomedical engineering 220 Industrial biotechnology medicine.anatomical_structure Cardiology Female business Algorithms |
| Zdroj: | EMBC |
| Popis: | 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. acceptedVersion |
| Databáze: | OpenAIRE |
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