학술논문

Detection of atrial fibrillation using an earlobe photoplethysmographic sensor
Document Type
Conference
Source
2017 Computing in Cardiology (CinC) Computing in Cardiology (CinC), 2017. :1-4 Sep, 2017
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Atrial fibrillation
Monitoring
Rhythm
Sensitivity and specificity
Heart rate variability
Biomedical monitoring
Bandwidth
Language
ISSN
2325-887X
Abstract
Atrial Fibrillation (AF) is the most common cardiac arrhythmia in the world, associated with an increased risk of thromboembolic events and an increased mortality rate. Due to the frequently asymptomatic nature of AF, a significant portion of AF is subclinical. To address this issue, we tested the feasibility of detecting AF using photoplethysmographic signal acquired from a noninvasive earlobe photoplethysmographic sensor. Photoplethysmographic recordings were taken from AF patients before and after cardioversion procedures, along with recordings from a healthy control group. This signal was analyzed and multiple parameters of heart rate variability were calculated. The parameter with the highest discriminant capability resulted in a sensitivity and specificity of 90.9%. These results show that using earlobe photoplethysmographic signal is a viable, inexpensive, and non-invasive AF detection method that could be invaluable in detecting subclinical AF.