Paper Info
Title
The Accuracy of Atrial Fibrillation Detection from Wrist Photoplethysmography. A Study on Post-Operative Patients.
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.
Year
DOI
Venue
2018
10.1109/EMBC.2018.8513197
EMBC
Field
DocType
Volume
Myocardial infarction,Cardiac arrhythmia,Computer science,Artificial intelligence,Electrocardiography,Sinus rhythm,Atrial fibrillation,Computer vision,Wrist,Internal medicine,Photoplethysmogram,Cardiology,Stroke
Conference
2018
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Adrian Tarniceriu101.01
Jarkko Harju200.34
Zeinab Rezaei Yousefi300.34
Antti Vehkaoja42210.47
Jakub Parák5104.89
Arvi M. Yli-Hankala641.76
I Korhonen735143.76