Time- And Frequency-Based Independent Evaluation Of QRST Cancellation Techniques For Single-Lead Electrocardiograms During Atrial Fibrillation
2022 Annual Modeling and Simulation Conference (ANNSIM)(2022)
摘要
With the increased prevalence of atrial fibrillation (AF) –rhythm disturbances in heart’s top chambers– there is growing interest in accurate non-invasive diagnosis of atrial activity to improve its therapy. A key component in non-invasive analysis of atrial activity is a successful removal of the ventricular QRST complexes from electrocardiograms (ECGs). In this study, we have developed a new approach for an objective and physiologically-based evaluation of QRST cancellation methods based on the power spectra of the AF. Three commonly used QRST cancellation methods were evaluated; namely, average beat subtraction, singular value cancellation, and principal component analysis. These methods were evaluated in time and frequency domains using a set of synthesized ECGs preserving the atrial-specific temporal and spectral properties. It was observed that the ABS method provided the best estimation when QRST morphological variability is low, while PCA produces an overall best estimate when a large QRST morphological variability is present.
更多查看译文
关键词
Electrocardiogram,Principal Component Analysis,QRST Cancellation,Atrial Fibrillation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要